Google AI accurately assesses CT lung screening scans

An artificial intelligence (AI) model developed by Google can assess cancer...Read more on AuntMinnie.comRelated Reading: Is shared decision-making CT lung screening's Trojan horse? 5 ways artificial intelligence can augment clinicians SIR: 'OK, Google -- scrub up!' AI reliably characterizes pulmonary nodules on CT Google AI algorithm shows promise for chest x-rays
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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Smoke-measuring smart shirts, breath sound analyzing algorithms, and smart inhalers pave the way of pulmonology and respiratory care into the future. As the number of patients suffering from asthma, COPD, or lung cancer due to rising air pollution and steady smoker-levels will unfortunately not decrease any time soon, we looked around what technology can do to help both patients and caregivers. The results are breathtaking. Attacks of breathlessness are too common The diseases which pulmonologists and respiratory care specialists attempt to fight are among the most common conditions in the modern world – and t...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Artificial Intelligence Future of Medicine Health Sensors & Trackers AI asthma cancer cancer treatment care COPD diagnostics inhaler lung lung cancer management medical specialty pulmonology respiratory respiratory care Source Type: blogs
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
How do you create a smart algorithm? Where and how do you get the data for it? What do you need for a pattern recognizing program to work well and what are the challenges? Nowadays, everyone seems to be building artificial intelligence-based software, also in healthcare, but no one talks about one of the most important aspects of the work: data annotation and the people who are undertaking this time-consuming, rather monotonous task without the flare that usually encircles A.I. Without their dedicated work, it is impossible to develop algorithms, so we thought it is time to sing an ode to the superheroes of algorithm devel...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Artificial Intelligence in Medicine Future of Medicine AI algorithm annotation data data annotation doctor Health Healthcare physician smart algorithm technology Source Type: blogs
Rayfield Byrd knows when it’s time to wake up every morning. The 68-year-old Oakland, Cal., resident hears a voice from the living room offering a cheery good morning. Except Byrd lives alone. A little after 8 a.m. each day, a small yellow robot named Mabu asks Byrd how he’s doing. Byrd has Type 2 diabetes and congestive heart failure, and about three years ago, he had surgery to implant a microvalve in his heart to keep his blood flowing properly. To stay healthy, he takes four medications a day and needs to exercise regularly. To make sure his heart is still pumping effectively, his doctor needs to stay on to...
Source: TIME: Health - Category: Consumer Health News Authors: Tags: Uncategorized Artificial Intelligence Life Reinvented medicine Source Type: news
If you follow the recent advances in medical technology and artificial intelligence, you may have heard people make bold claims that AI will replace tomorrow’s doctors. While there are still ways to go for technology to reach these sci-fi level...
Source: Medgadget - Category: Medical Devices Authors: Tags: Exclusive Informatics Radiology Source Type: blogs
It ’s difficult to open a newspaper nowadays without seeing an article about artificial intelligence. These column-inches spark our imaginations with heady visions of possible futures and crease our brows with concern in equal measure. But one thing you cannot escape is that AI is here now and it’s only going to become more pervasive.While fear of an unknown technology is understandable, in many ways it does a disservice to the incredible impact that AI is already having on the world around us. In the healthcare space alone, it is offering ways to fundamentally rethink clinical practice, speeding up diagnosis, ...
Source: EyeForPharma - Category: Pharmaceuticals Authors: Source Type: news
Open access medical imaging datasets are needed for research, product development, and more for academia and industry.   We hope this guide will be helpful for machine learning and artificial intelligence startups, researchers, and anyone interested at all.  This is a growing list and will be periodically updated - if you know of another open medical imaging dataset, please email data@radrounds.com.Radiology Open Repositories:NIH- 100,000 chest x-rays with diagnoses, labels, annotationTCIA - The Cancer Imaging Archive consisting of extensive number of datasets from Lung IMage Database Consortium (LIDC), Refe...
Source: radRounds - Category: Radiology Authors: Source Type: blogs
[Image from unsplash.com]From ConforMIS touting its knee replacement study to Consulting Radiologists’s new breast cancer detection tool, here are seven medtech stories we missed this week but thought were still worth mentioning. 1. Study: Low-dose CT scanning improves Ankylosing Spondylitis assessment A new study has shown that low-dose computed tomography (LD-CT) is more sensitive than X-rays for monitoring disease progression in people who have Ankylosing Spondylitis, according to a June 15 press release. LD-CT has previously been proven to be sensitive and reliable when assessing bone growth in different pat...
Source: Mass Device - Category: Medical Devices Authors: Tags: Big Data Business/Financial News Cardiac Assist Devices Cardiovascular Clinical Trials Diagnostics Implants Oncology Research & Development Respiratory Cefaly conformis Consulting Radiologists Hemovent Image Stream Medical Me Source Type: news
No, it's not what you think, so don't bring out your dead. You'll get the joke later on.I've maintained this blog for over 12 years, believe it or not. Despite my years of whining about PACS, I still love the concept, and to varying degrees, many of the products out there. Some I can praise, some I complain bitterly about, and some I have left alone because of the more and more complex nature of the hats I'm wearing in my old age.It is no exaggeration to say thatPACS has changed everything about what we do in Radiology. My First Law of PACS distills this to its essence:I. PACS IS the Radiology DepartmentThis concept i...
Source: Dalai's PACS Blog - Category: Radiology Source Type: blogs
The FDA today released its list of the pre-market approvals it granted for medical devices in November 2015: Summary of PMA Originals &Supplements Approved Originals: 3 Supplements: 69 Summary of PMA Originals Under Review Total Under Review: 57 Total Active: 30 Total On Hold: 27 Summary of PMA Supplements Under Review Total Under Review: 583 Total Active: 433 Total On Hold: 150 Summary of All PMA Submissions Originals: 4 Supplements: 75 Summary of PMA Supplement PMA Approval/Denial Decision Times Number of Approvals: 69 Number of Denials: 0 Average Days Fr Receipt to Decision (Total Time): 193.4 FDA Time...
Source: Mass Device - Category: Medical Equipment Authors: Tags: Food & Drug Administration (FDA) Regulatory/Compliance Source Type: news
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