3 ways AI could be integrated into radiology workflow

As radiology artificial intelligence (AI) algorithms move toward clinical use,...Read more on AuntMinnie.comRelated Reading: New AI algorithm identifies small lung tumors on CT scans AI, new cardiac imaging technology can assess for CAD AI algorithm can triage head CT exams for urgent review AI characterizes complex mood disorders from fMRI 3 ways to ensure AI algorithms are really working
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

Related Links:

Artificial intelligence may help doctors make more accurate readings of CT scans used to screen for lung cancer.
Source: NYT Health - Category: Consumer Health News Authors: Tags: Artificial Intelligence Computers and the Internet Tests (Medical) Lungs Tse, Daniel Computerized Axial Tomography (CAT Scans) Lung Cancer Google Inc your-feed-healthcare Source Type: news
(Northwestern University) Artificial intelligence was able to detect malignant lung nodules on low-dose chest computed tomography scans with a performance meeting or exceeding that of expert radiologists, reports a new study from Google and Northwestern Medicine.This deep-learning system provides an automated image evaluation system to enhance the accuracy of early lung cancer diagnosis that could lead to earlier treatment. Lung cancer is most common cause of cancer deaths in US and is harder to treat when diagnosed at advanced stages.
Source: EurekAlert! - Social and Behavioral Science - Category: International Medicine & Public Health Source Type: news
The radiology community's proactive response to the adoption of artificial...Read more on AuntMinnie.comRelated Reading: Practical considerations of AI: Part 3 -- More AI issues How will PACS evolve over the next decade? AI predicts lung cancer survival from CT scan data The 5 things radiology needs to speed up AI use AI malware deceives radiologists with fake tumors on CT
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
Conclusions Several model systems are now available to characterize the MSC-tumour interplay in the TME. These offer early promise in establishing robust preclinical platforms for the identification of crucial molecular pathways and for the assessment of clinical efficacy of novel drugs to inhibit cancer development and progression. However, selection of the right model for a given study should be shaped on the purpose, and should also consider fixed biological, biochemical, and biophysical parameters according to the specific tumour type. Finally, in order to get reliable and useful results to be translated to the clinic...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Mark E. Gray1,2*, James Meehan2,3, Paul Sullivan4, Jamie R. K. Marland4, Stephen N. Greenhalgh1, Rachael Gregson1, Richard Eddie Clutton1, Carol Ward2, Chris Cousens5, David J. Griffiths5, Alan Murray4 and David Argyle1 1The Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom 2Cancer Research UK Edinburgh Centre and Division of Pathology Laboratories, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom 3School of Engineering and Physical Sciences, Institute of Sensors, Signals and Systems, Heriot-Watt Univer...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Shanshan Zhang1, Dongli Yuan2 and Ge Tan1* 1Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China 2The Institute of Medical Information, Chongqing Medical University, Chongqing, China Primary systemic vasculitis can affect every structure in both the central and peripheral nervous system, causing varied neurological manifestations of neurological dysfunction. Early recognition of the underlying causes of the neurological symptoms can facilitate timely treatment and improve the prognosis. This review highlights the clinical manifestations of primary systemic vasc...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
Geng-Hong Xia1†, Chao You1,2†, Xu-Xuan Gao1, Xiu-Li Zeng1, Jia-Jia Zhu1, Kai-Yu Xu3, Chu-Hong Tan1, Ruo-Ting Xu1, Qi-Heng Wu1, Hong-Wei Zhou3, Yan He4*‡ and Jia Yin1*‡ 1Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China 2Department of Neurology, The First People's Hospital of Zunyi, Zunyi, China 3State Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China 4Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical Univ...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
Conclusions: Catching errors prior to treatment is the only way to “chase zero” in radiation oncology. Various types of errors may exist in treatment plans and our GCPR model succeeds in preventing many errors of all shapes and sizes in target definition, dose prescriptions, and treatment plans from ever reaching the patients. Background and Introduction Since the release of the seminal report from the Institute of Medicine (IOM) titled, “To Err is Human,” in 1999, the importance of patient safety and avoiding medical errors have been recognized and endorsed by the physician community, as we...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Conclusion: This study suggests that a clinically efficacious cardiovascular Chinese herbal medicine (DLP) can be successfully repurposed to treat a lung disease in pulmonary fibrosis guided by TCM theory. Our comparative study between DLP and DHP demonstrated a critical requirement of suppressing both pro-inflammatory and pro-fibrotic pathways for the treatment of pulmonary fibrosis, supporting that a multi-component prescription capable of “removing both phlegm and blood stasis” will better achieve co-protection of heart and lung in PHD. Introduction Idiopathic pulmonary fibrosis (IPF) is a chronic an...
Source: Frontiers in Pharmacology - Category: Drugs & Pharmacology Source Type: research
Harvard researchers have developed an artificial intelligence (AI) algorithm...Read more on AuntMinnie.comRelated Reading: AI malware deceives radiologists with fake tumors on CT AI reliably characterizes pulmonary nodules on CT AI spots lung nodules on CT, with low false-positive rate New AI algorithm identifies small lung tumors on CT scans NIH issues huge database of CT scans for AI testing
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
More News: CT Scan | Lung Transplant | PET Scan | Radiology