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ASAP Diabatization by Machine Intelligence
Journal of Chemical Theory and ComputationDOI: 10.1021/acs.jctc.0c00623
Source: Journal of Chemical Theory and Computation - September 21, 2020 Category: Chemistry Authors: Yinan Shu and Donald G. Truhlar Source Type: research

Are we ready for artificial intelligence health monitoring in elder care?
The world is experiencing a dramatic increase in the aging population, challenging the sustainability of traditional care models that have relied on in-person monitoring. This debate article discusses whether ...
Source: BMC Geriatrics - September 21, 2020 Category: Geriatrics Authors: Anita Ho Tags: Debate Source Type: research

Sensors, Vol. 20, Pages 5409: A Distributed Vision-Based Navigation System for Khepera IV Mobile Robots
Dormido This work presents the development and implementation of a distributed navigation system based on object recognition algorithms. The main goal is to introduce advanced algorithms for image processing and artificial intelligence techniques for teaching control of mobile robots. The autonomous system consists of a wheeled mobile robot with an integrated color camera. The robot navigates through a laboratory scenario where the track and several traffic signals must be detected and recognized by using the images acquired with its on-board camera. The images are sent to a computer server that performs a computer vi...
Source: Sensors - September 21, 2020 Category: Biotechnology Authors: Gonzalo Farias Ernesto Fabregas Enrique Torres Ga ëtan Bricas Sebasti án Dormido-Canto Sebasti án Dormido Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5391: Development of A Robust Multi-Scale Featured Local Binary Pattern for Improved Facial Expression Recognition
This study shows that the proposed multi-scale featured local binary pattern (MSFLBP), together with Support Vector Machine (SVM), outperformed the recent LBP-based state-of-the-art approaches resulting in an accuracy of 99.12% for the Extended Cohn–Kanade (CK+) dataset and 89.08% for the Karolinska Directed Emotional Faces (KDEF) dataset.
Source: Sensors - September 21, 2020 Category: Biotechnology Authors: Suraiya Yasmin Refat Khan Pathan Munmun Biswas Mayeen Uddin Khandaker Mohammad Rashed Iqbal Faruque Tags: Article Source Type: research

Social Judgments of Digitally Manipulated Stuttered Speech: Cognitive Heuristics Drive Implicit and Explicit Bias.
Conclusions Explicit and implicit biases exist, but self-disclosure significantly impacts the cognitive system of listeners. Specifically, self-disclosure may reduce explicit bias through experience and explicit belief updating, but when cognitive heuristics are strong, implicit bias may be slower to change. PMID: 32956006 [PubMed - as supplied by publisher]
Source: Journal of speech, language, and hearing research : JSLHR - September 21, 2020 Category: Speech-Language Pathology Authors: Roche JM, Arnold HS, Ferguson AM Tags: J Speech Lang Hear Res Source Type: research

Screening for obstructive sleep apnea with novel hybrid acoustic smartphone app technology.
Conclusions: The "Firefly" app based sensing technology offers the potential to significantly lower the barrier of entry to OSA screening, as no hardware (other than the user's personal smartphone) is required. Additionally, multi-night analysis is possible in the home environment, without requiring the wearing of a portable PSG or other home sleep test (HST). PMID: 32944361 [PubMed]
Source: Journal of Thoracic Disease - September 20, 2020 Category: Respiratory Medicine Tags: J Thorac Dis Source Type: research

Artificial Intelligence in Echocardiography for Anesthesiologists
Echocardiography is a unique diagnostic tool for intraoperative monitoring and assessment of patients with cardiovascular diseases. However, there are high levels of interoperator variations in echocardiography interpretations that could lead to inaccurate diagnosis and incorrect treatment. Furthermore, anesthesiologists are faced with the additional challenge to interpret echocardiography and make decisions in a limited timeframe from these complex data. The need for an automated, less operator-dependent process that enhances speed and accuracy of echocardiography analysis is crucial for anesthesiologists.
Source: Journal of Cardiothoracic and Vascular Anesthesia - September 20, 2020 Category: Anesthesiology Authors: Xia Chen, Cindy A. Owen, Emma C. Huang, Brittany D. Maggard, Rana K. Latif, Sean P. Clifford, Jinbao Li, Jiapeng Huang Tags: Emerging Technology Review Source Type: research

Electronic Vaccine Intelligence Network to track COVID-19 vaccine
A national expert group on COVID-19 vaccine has been constituted to guide the government on prioritisation of population groups for vaccination, selection of vaccine candidates, delivery mechanism of the vaccine, cold chain and associated infrastructure for roll-out of COVID-19 vaccination, etc. Minister of State for Health Ashwini Kumar Choubey said.
Source: The Economic Times - September 20, 2020 Category: Consumer Health News Source Type: news

Moment invariants for cancer classification based on electron –ion interaction pseudo potentials (EIIP)
AbstractCancer is considered one of the most dangerous diseases leading to imminent death during recent decades. It spreads quickly at a frightening pace to all parts of the body and early detection of such diseases may help reduce the risks. Many methods have been used to classify and predict the outcome of cancer, such as image processing techniques, artificial intelligence, and nanotechnology. Out of these methods, artificial intelligence techniques have played an essential role and have provided satisfying results from different investigations in various fields. Considering that cancer is a genetic disease, electron ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - September 20, 2020 Category: Bioinformatics Source Type: research

Artificial Intelligence and Stroke Imaging: A West Coast Perspective
Publication date: Available online 18 September 2020Source: Neuroimaging Clinics of North AmericaAuthor(s): Guangming Zhu, Bin Jiang, Hui Chen, Elizabeth Tong, Yuan Xie, Tobias D. Faizy, Jeremy J. Heit, Greg Zaharchuk, Max Wintermark
Source: Neuroimaging Clinics of North America - September 19, 2020 Category: Radiology Source Type: research

Artificial intelligence: aid in early oral cancer diagnosis at the dental clinic
Publication date: September 2020Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, Volume 130, Issue 3Author(s): JULIANA ROMANINI, LUCIANO MITSUO KANOMATA, RODRIGO MARQUES DE FIGUEIREDO
Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology - September 19, 2020 Category: ENT & OMF Source Type: research

Flexible Conductive MXene/Cellulose Nanocrystal Coated Nonwoven Fabrics for Tunable Wearable Strain/Pressure Sensors
In this study, flexible conductive MXene/cellulose nanocrystal (CNC) coated thermoplastic polyurethane... The content of this RSS Feed (c) The Royal Society of Chemistry
Source: RSC - J. Mater. Chem. latest articles - September 19, 2020 Category: Chemistry Authors: Qianming Li Source Type: research

Using Artificial Intelligence to Detect Molecular Changes in Tumors
No abstract available
Source: Oncology Times - September 19, 2020 Category: Cancer & Oncology Tags: News Source Type: research

AI can enhance evaluation of cancer response over time
Radiology reports created with help from artificial intelligence (AI) are more...Read more on AuntMinnie.comRelated Reading: C-MIMI: AI peer review can spot missed lung cancer C-MIMI: Use of AI in radiology is evolving SNMMI 2020: AI analysis of PET could help classify prostate cancer SIIM 2020: Human element shouldn't be neglected with AI AI Metrics joins forces with Imaging Biometrics
Source: Headlines - September 18, 2020 Category: Radiology Source Type: news

Differential patterns of growth in reading and math skills during elementary school. - PsycNET
This study investigated developmental trajectories of reading and math using latent-growth-curve analyses across multiple academic skills, measures, and multiple time periods within a single sample. Reading-related growth was marked by significant individual differences during the early elementary-school period and nonsignificant individual differences during the late elementary-school period. For math-related skills, nonsignificant individual differences were present for early math growth and significant individual differences were present in late elementary-school. No clear pattern of cumulative, compensatory, or stable ...
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - September 18, 2020 Category: Neuroscience Source Type: blogs

A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures
Conditions:   Colon Polyp;   Colon Neoplasm;   Colon Adenoma Intervention:   Device: EndoVigilant Software Sponsor:   EndoVigilant Inc Not yet recruiting
Source: - September 18, 2020 Category: Research Source Type: clinical trials

New roles for clinicians in the age of artificial intelligence
(Compuscript Ltd) New Roles for Clinicians in the Age of Artificial Intelligence Announcing a new article publication for BIO Integration journal. In this opinion article the authors Fengyi Zeng, Xiaowen Liang and Zhiyi Chen from The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China consider new roles for clinicians in the age of artificial intelligence (AI).
Source: EurekAlert! - Medicine and Health - September 18, 2020 Category: International Medicine & Public Health Source Type: news

Leadership Essentials for the Chest Physician: Emotional Intelligence.
Abstract Emotional intelligence (EI) has become widely appreciated as an important leadership attribute, in business, education and, increasingly, in healthcare. Defined as "the capacity to understand your own and others' emotions and to motivate and develop yourself and others in service of improved work performance and enhanced organizational effectiveness," EI is correlated with a number of success attributes in several sectors, e.g., in business, enhanced business performance and enhanced personal career success; and in healthcare, with enhanced patient satisfaction, lower burnout, lower litigation risk, and e...
Source: Chest - September 18, 2020 Category: Respiratory Medicine Authors: Stoller JK Tags: Chest Source Type: research

Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review
To (1) determine the diagnostic efficacy of artificial intelligence (AI) methods for detecting anterior cruciate ligament (ACL) and meniscus tears and to (2) compare the efficacy to human clinical experts.
Source: Arthroscopy - Journal of Arthroscopic and Related Surgery - September 18, 2020 Category: Surgery Authors: Kyle N. Kunze, David M. Rossi, Gregory M. White, Aditya V. Karhade, Jie Deng, Brady T. Williams, Jorge Chahla Tags: Systematic Review Source Type: research

Artificial intelligence in cardiac radiology
AbstractArtificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI algorithms can be also utilized to optimize image reconstruction and image quality. Since these algorithms will play an important role in the field of cardiac radiology, it is increasingly important for radiologists to be famili...
Source: La Radiologia Medica - September 18, 2020 Category: Radiology Source Type: research

Brief History of Artificial Intelligence
This article reviews the history of artificial intelligence and introduces the reader to major events that prompted interest in the field, as well as pitfalls and challenges that have slowed its development. The purpose of this article is to provide a high-level historical perspective on the development of the field over the past decades, highlighting the potential of the field for transforming health care, but also the importance of setting realistic expectations for artificial intelligence applications to avoid repeating historical cyclical trends and a third “artificial intelligence winter.”
Source: Neuroimaging Clinics - September 18, 2020 Category: Radiology Authors: Nikesh Muthukrishnan, Farhad Maleki, Katie Ovens, Caroline Reinhold, Behzad Forghani, Reza Forghani Source Type: research

Artificial Intelligence and Stroke Imaging
This article addresses this topic and seeks to present an overview of machine learning and/or deep learning applied to stroke imaging.
Source: Neuroimaging Clinics - September 18, 2020 Category: Radiology Authors: Guangming Zhu, Bin Jiang, Hui Chen, Elizabeth Tong, Yuan Xie, Tobias D. Faizy, Jeremy J. Heit, Greg Zaharchuk, Max Wintermark Source Type: research

Evidence check: the medium and long-term sequelae of COVID-19, New South Wales Government COVID-19 Critical Intelligence Unit
Rapid review question: What are the medium- and long-term health sequelae of COVID-19 infection among survivors? In brief: General health sequelae • Symptoms commonly reported among recovered COVID-19 patients two to eight weeks after the onset of symptoms (or a positive COVID-19 test) include: fatigue, shortness of breath, muscle or joint pain, chest pain, cough, and insomnia and/or sleep disorders.(1-6) • A study of 202 confirmed COVID -19 patients with mild symptoms, found altered sense of smell or taste occurred in 18.6% of patients, feelings of being tired in 13.1%, problems breathing in 10.4% and muscle or joint ...
Source: Current Awareness Service for Health (CASH) - September 17, 2020 Category: Consumer Health News Source Type: news

The Diet Linked To Higher Intelligence
People with more of this in their blood did better on intelligence tests. → Support PsyBlog for just $5 per month. Enables access to articles marked (M) and removes ads. → Explore PsyBlog's ebooks, all written by Dr Jeremy Dean: Accept Yourself: How to feel a profound sense of warmth and self-compassion The Anxiety Plan: 42 Strategies For Worry, Phobias, OCD and Panic Spark: 17 Steps That Will Boost Your Motivation For Anything Activate: How To Find Joy Again By Changing What You Do
Source: PsyBlog | Psychology Blog - September 17, 2020 Category: Psychiatry & Psychology Authors: Jeremy Dean Tags: Intelligence Source Type: blogs

Intelligence, alcohol consumption, and adverse consequences. A study of young Norwegian men - Rogne AF, Pedersen W, von Soest T.
AIMS: Research suggests that intelligence is positively related to alcohol consumption. However, some studies of people born around 1950, particularly from Sweden, have reported that higher intelligence is associated with lower consumption and fewer alcoho...
Source: SafetyLit - September 17, 2020 Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news

Yousefi to develop artificial intelligence to improve glaucoma research, diagnosis
(University of Tennessee Health Science Center) Siamak Yousefi, Ph.D., an assistant professor in the Department of Ophthalmology and the Department of Genetics, Genomics, and Informatics at the University of Tennessee Health Science Center, has received two grants worth more than $600,000 combined to further develop artificial intelligence (AI) to help diagnose and monitor glaucoma.
Source: EurekAlert! - Medicine and Health - September 17, 2020 Category: International Medicine & Public Health Source Type: news

Machine Intelligence in Neurologic and Head and Neck Imaging
Interest in intelligent machines is not new, and serious attempts at building machines that can solve problems and make decisions simulating what humans do were already underway in the 1950s. However, the field of artificial intelligence (AI) has clearly seen a revolutionary revival in the last decade. This is at least in part fueled by developments in application of deep neural networks for complex analytic and image analysis tasks, made possible by the impressive progress and achievements in hardware development and computing power.
Source: Neuroimaging Clinics - September 17, 2020 Category: Radiology Authors: Reza Forghani Tags: Preface Source Type: research

An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 1
This article reviews the use of deep learning convolutional neural networks for managing hemorrhagic stroke. Such a capability may be used to alert appropriate care teams, make decisions about patient transport from a primary care center to a comprehensive stroke center, and assist in treatment selection. This article reviews artificial intelligence algorithms for intracranial hemorrhage detection, quantification, and prognostication. Multiple algorithms currently being explored are described and illustrated with the help of examples.
Source: Neuroimaging Clinics - September 17, 2020 Category: Radiology Authors: Rajiv Gupta, Sanjith Prahas Krishnam, Pamela W. Schaefer, Michael H. Lev, R. Gilberto Gonzalez Source Type: research

Artificial intelligence in paediatric radiology: Future opportunities.
Abstract Artificial intelligence (AI) has received widespread and growing interest in healthcare, as a method to save time, cost and improve efficiencies. The high-performance statistics and diagnostic accuracies reported by using AI algorithms (with respect to predefined reference standards), particularly from image pattern recognition studies, have resulted in extensive applications proposed for clinical radiology, especially for enhanced image interpretation. Whilst certain sub-speciality areas in radiology, such as those relating to cancer screening, have received wide-spread attention in the media and scienti...
Source: The British Journal of Radiology - September 17, 2020 Category: Radiology Authors: Davendralingam N, Sebire NJ, Arthurs OJ, Shelmerdine SC Tags: Br J Radiol Source Type: research

Diverse Applications of Artificial Intelligence in Neuroradiology
Recent advances in artificial intelligence (AI) and deep learning (DL) hold promise to augment neuroimaging diagnosis for patients with brain tumors and stroke. Here, the authors review the diverse landscape of emerging neuroimaging applications of AI, including workflow optimization, lesion segmentation, and precision education. Given the many modalities used in diagnosing neurologic diseases, AI may be deployed to integrate across modalities (MR imaging, computed tomography, PET, electroencephalography, clinical and laboratory findings), facilitate crosstalk among specialists, and potentially improve diagnosis in patient...
Source: Neuroimaging Clinics - September 17, 2020 Category: Radiology Authors: Michael Tran Duong, Andreas M. Rauschecker, Suyash Mohan Source Type: research

Artificial intelligence in medicine creates real risk management and litigation issues
AbstractThe next step in the evolution of electronic medical record (EMR) use is the integration of artificial intelligence (AI) into health care. With the benefit of roughly 15 years of electronic medical records (EMR) data from millions of patients, health systems can now leverage this historical information via the assistance of complex mathematical algorithms to formulate computer ‐based medical decisions. With AI spending in health care forecasted to increase from $2.1 billion currently to $36 billion by 2025,1 we sit on the precipice of the next revolution in health care. Now is the time to consider the potential r...
Source: Journal of Healthcare Risk Management - September 17, 2020 Category: Hospital Management Authors: Matthew P. Keris Tags: Claims and Litigation Source Type: research

Sensors, Vol. 20, Pages 5332: ASAMS: An Adaptive Sequential Sampling and Automatic Model Selection for Artificial Intelligence Surrogate Modeling
riz Surrogate Modeling (SM) is often used to reduce the computational burden of time-consuming system simulations. However, continuous advances in Artificial Intelligence (AI) and the spread of embedded sensors have led to the creation of Digital Twins (DT), Design Mining (DM), and Soft Sensors (SS). These methodologies represent a new challenge for the generation of surrogate models since they require the implementation of elaborated artificial intelligence algorithms and minimize the number of physical experiments measured. To reduce the assessment of a physical system, several existing adaptive sequential sampling ...
Source: Sensors - September 17, 2020 Category: Biotechnology Authors: Carlos A. Duchanoy Hiram Calvo Marco A. Moreno-Armend áriz Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5329: Artificial Intelligence-Based Bolt Loosening Diagnosis Using Deep Learning Algorithms for Laser Ultrasonic Wave Propagation Data
ghee Park The application of deep learning (DL) algorithms to non-destructive evaluation (NDE) is now becoming one of the most attractive topics in this field. As a contribution to such research, this study aims to investigate the application of DL algorithms for detecting and estimating the looseness in bolted joints using a laser ultrasonic technique. This research was conducted based on a hypothesis regarding the relationship between the true contact area of the bolt head-plate and the guided wave energy lost while the ultrasonic waves pass through it. First, a Q-switched Nd:YAG pulsed laser and an acoustic emission...
Source: Sensors - September 17, 2020 Category: Biotechnology Authors: Dai Quoc Tran Ju-Won Kim Kassahun Demissie Tola Wonkyu Kim Seunghee Park Tags: Article Source Type: research

Exploiting Complex Medical Data with Interpretable Deep Learning for Adverse Drug Event Prediction
Publication date: Available online 15 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Jonathan Rebane, Isak Samsten, Panagiotis Papapetrou
Source: Artificial Intelligence in Medicine - September 16, 2020 Category: Bioinformatics Source Type: research

Artificial Intelligence: The Next Frontier in Kidney Biopsy Evaluation.
PMID: 32938618 [PubMed - as supplied by publisher]
Source: Clinical Journal of the American Society of Nephrology : CJASN - September 16, 2020 Category: Urology & Nephrology Authors: Hou J, Nast CC Tags: Clin J Am Soc Nephrol Source Type: research

Real-time artificial intelligence-based histological classification of colorectal polyps with augmented visualization
Artificial intelligence (AI)-based computer-aided diagnostic (CADx) algorithms are a promising approach for real-time histology (RTH) of colonic polyps. Our aim is to present a novel in situ CADx approach that seeks to increase transparency and interpretability of results by generating an intuitive augmented visualization of the model ’s predicted histology over the polyp surface.
Source: Gastrointestinal Endoscopy - September 16, 2020 Category: Gastroenterology Authors: Eladio Rodriguez-Diaz, Gy örgy Baffy, Wai-Kit Lo, Hiroshi Mashimo, Gitanjali Vidyarthi, Shyam S. Mohapatra, Satish K. Singh Source Type: research

New Study: The State Of A.I.-Based, FDA-approved Medical Devices And Algorithms – An Online Database
Regulatory authorities such as the U.S. Food & Drug Administration (FDA) and the European Medicine Agency (EMA) are heavily regulating the medical landscape when it comes to artificial intelligence (A.I.)-based solutions. The FDA, in particular, took the lead, having issued a specific framework for A.I.-based algorithms.  However, even this leading authority, like other regulatory bodies, does not provide a comprehensive database of these tools that it has approved. One can expect such information to be readily available, especially for a prominent technology like A.I. But the very authorities regulating the la...
Source: The Medical Futurist - September 15, 2020 Category: Information Technology Authors: Prans Tags: Artificial Intelligence in Healthcare Digital Health Research algorithm cardiology database diabetes ecg fda medical diagnosis nature x-ray oncology ophthalmology emergency medicine A.I. cardiovascular MR CT blood gluco Source Type: blogs

Clinical Trials for Artificial Intelligence in Cancer Diagnosis: A Cross-Sectional Study of Registered Trials in
Conclusion: It appears that most registered trials on AI for cancer diagnosis are observational design, and more trials are needed in this field.
Source: Frontiers in Oncology - September 15, 2020 Category: Cancer & Oncology Source Type: research

Musculoskeletal trauma imaging in the era of novel molecular methods and artificial intelligence
Imaging of musculoskeletal (MSK) trauma has rapidly evolved over the past decade. Advances in imaging methods have revolved around two main axes: (i) molecular imaging (MI) and (ii) artificial intelligence (AI), which have opened new horizons for the diagnosis and treatment of MSK trauma. MI aims at providing information on a more specific level based on the molecular pathophysiological processes rather than the morphologic finding of one or more structures, i.e. a bone tumor. On the turn of the century, the ability of various imaging methods to unravel the molecular paths of many disorders, opened a new window in the scie...
Source: Injury - September 15, 2020 Category: Orthopaedics Authors: Michail E. Klontzas, Georgios Z. Papadakis, Kostas Marias, Apostolos H. Karantanas Source Type: research

How radiology is benefiting from AI
Alexander Ihls, business development manager at Healthcare DACH, InterSystems, discusses AI application in radiology and how artificial intelligence is helping radiologists.
Source: Healthcare ITNews Videos - September 14, 2020 Category: Information Technology Tags: Artificial Intelligence Source Type: video

Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies
Interview with Atul J Butte, MD, PhD, author of The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies Related Article: The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies
Source: JAMA Author Interviews - September 14, 2020 Category: General Medicine Authors: JAMA Network Source Type: podcasts

Africa: Artificial Intelligence to Revolutionise Health in Lower-Income Countries
[New Times] A new report backed by Novartis Foundation and Microsoft has found that lower-income countries are robustly leveraging artificial intelligence (AI) to step up their health systems during and post the pandemic.
Source: AllAfrica News: Health and Medicine - September 14, 2020 Category: African Health Source Type: news

Using artificial intelligence to predict genuine outcomes in COVID-19 patients
(West Virginia University) Larissa Casaburi, a researcher in the West Virginia University School of Medicine, is using artificial intelligence to study how being a coal miner affects COVID-19 outcomes. She's also investigating the ways smoking, vaping and having a chronic lung condition influence how COVID-19 patients fare.
Source: EurekAlert! - Infectious and Emerging Diseases - September 14, 2020 Category: Infectious Diseases Source Type: news

These Personality Features Signal High Fluid Intelligence
The strongest personality feature of high fluid intelligence. → Support PsyBlog for just $5 per month. Enables access to articles marked (M) and removes ads. → Explore PsyBlog's ebooks, all written by Dr Jeremy Dean: Accept Yourself: How to feel a profound sense of warmth and self-compassion The Anxiety Plan: 42 Strategies For Worry, Phobias, OCD and Panic Spark: 17 Steps That Will Boost Your Motivation For Anything Activate: How To Find Joy Again By Changing What You Do
Source: PsyBlog | Psychology Blog - September 7, 2020 Category: Psychiatry & Psychology Authors: Jeremy Dean Tags: Intelligence Source Type: blogs

UPMC Researchers Develop Artificial Intelligence Algorithm That Detects Prostate Cancer with ‘Near Perfect Accuracy’ in Effort to Improve How Pathologists Diagnose Cancer
Working from tissue slides similar to those used by surgical pathologists, the algorithm accurately detects prostate cancer with an impressive 98% sensitivity It could be that a new milestone has been reached on the road to using artificial intelligence (AI) to help anatomic pathologists diagnose cancer and other diseases. A research collaboration between a major […] The post UPMC Researchers Develop Artificial Intelligence Algorithm That Detects Prostate Cancer with ‘Near Perfect Accuracy’ in Effort to Improve How Pathologists Diagnose Cancer first appeared on Dark Daily.
Source: Dark Daily - September 2, 2020 Category: Laboratory Medicine Authors: Jude Tags: Laboratory Management and Operations Laboratory News Laboratory Pathology Laboratory Testing Management & Operations AI American Cancer Society anatomic pathology artificial intelligence clinical laboratory clinical pathology Dark Da Source Type: news