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NEWS - Tech & Innovation

Why Doctors Hate Their Computers – The New Yorker (free)

“Digitization promises to make medical care easier and more efficient. But are screens coming between doctors and patients?”

 


Deep neural network improves fracture detection by clinicians – Proceedings of the National Academy of Sciences (free)

“How to reduce emergency doctor misinterpretation of wrist X-rays for fracture by nearly 50%? Deep learning AI, of course” (via @EricTopol see Tweet)

 


The approach to predictive medicine that is taking genomics research by storm – Nature (free)

“Polygenic risk scores represent a giant leap for gene-based diagnostic tests. Here’s why they’re still so controversial.”

 


Would technology enabled remote consulting save time and add value in primary care? – The BMJ Opinion (free)

“Would remote consulting save time and add value in primary care? Rising multimorbidity makes the evaluation of potentially time saving technologies ever more necessary” (via @bmj_latest see Tweet)

 


Playing Doctor with Watson: Medical Applications Expose Current Limits of AI – Spiegel (free) (via @EricTopol)

“IBM has big plans for how its Watson artificial intelligence software could change the medical industry. But a number of hospitals have ended their experiments with the platform, arguing that it doesn’t help diagnose or treat diseases.”

 


How Tech Can Turn Doctors Into Clerical Workers – The New York Times Magazine (10 articles per month are free)

“The threat that electronic health records and machine learning pose to physicians’ clinical judgment — and their well-being”.

 


How Tech Can Turn Doctors into Clerical Workers – The New York Times Magazine (10 articles per month are free)

“The threat that electronic health records and machine learning pose to physicians’ clinical judgment — and their well-being”.

 


Take This App and Call Me in the Morning – The New York Times (10 articles per month are free)

“A new category of prescription medical treatments, what executives call digital therapeutics, comes in the form of mobile apps”.

 


Like It Or Not, Personal Health Technology Is Getting Smarter – NPR (free)

“Nice article about wearables related issues, such as medicalization of the healthy, privacy loss, low adherence, uncertain reliability of measurements and uncertain health benefits”. (via @RasoiniR see Tweet)

 


Robot-assisted laparoscopic surgery versus conventional laparoscopic surgery in randomized controlled trials: A systematic review and meta-analysis – PLOS One (free)

“Despite higher operative cost, robot-assisted laparoscopic surgery does not result in statistically better treatment outcomes, with the exception of lower estimated blood loss. Operative time and total complication rate are significantly more favorable with conventional laparoscopic surgery”.

 


Deep learning for biology – Nature (free)

“A popular artificial-intelligence method provides a powerful tool for surveying and classifying biological data. But for the uninitiated, the technology poses significant difficulties”.

 


State of The Art Review: The role of robotics in colorectal surgery – The BMJ (free for a limited period)

 


A revolution in health care is coming – The Economist (a few articles per month are free) (via @equitylist)

“Welcome to Doctor You”

 


Let the computer figure it out – ACP Hospitalist (free)

“Researchers look at how machine learning could change hospital care”.

 


Deep learning sharpens views of cells and genes – Nature (free)

Neural networks are making biological images easier to process.

 


What physicians can do about ransomware – ACP Hospitalist (free)

“Protecting a practice doesn’t always require a large investment of money, just time and employee training”.

 


Noninvasive Cardiac Radiation for Ablation of Ventricular Tachycardia – New England Journal of Medicine (link to abstract – $ for full-text)

Commentary: A ‘Game Changer’ for Patients With Irregular Heart Rhythm – The New York Times (10 articles per month are free)

“The use of stereotactic radiotherapy in five patients with refractory ventricular tachycardia (VT) showed a 99.9% reduction in VT burden”. (via @NEJM see Tweet with infographic)

 


CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning – Stanford ML Group (free)

“We develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists”

 


The Growing Value of Digital Health: Evidence and Impact on Human Health and the Healthcare System – IQVIA Institute (free)

Commentary: Study Names Top Apps for Patients to Manage Illnesses – Medscape (free registration required)

“An impressive, in-depth report on digital health, shows how the field is taking hold” (RT @EricTopol see Tweet)

 


Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study – JAMA Cardiology (link to abstract – $ for full-text)

“Machine learning identifies an “unfavorable” multi-organ phenotype associated with adverse health outcome”. (RT @JAMACardio see Tweet)

 


Online parental training may help to improve behaviour in children – NIHR Signal (free)

Original article: Technology-Assisted Parent Training Programs for Children and Adolescents With Disruptive Behaviors: A Systematic Review – The Journal of Clinical Psychiatry (link to abstract – $ for full-text)

 


New insulin pumps offer continuous monitoring – ACP Internist (free)

Related article: Home use of a bihormonal bionic pancreas versus insulin pump therapy in adults with type 1 diabetes: a multicentre randomised crossover trial – The Lancet (free PDF)

“Next-generation insulin pumps will feature sophisticated computer algorithms that automatically calculate and administer precise doses of insulin…”

 


Sophisticated Digital Aids Could Help Determine What Ails You – Scientific American (free)

“Software to help make diagnoses, reduce medical errors but resistance of doctors to use” (RT @EricTopol see Tweet)

 

 


First compute no harm – Enrico Coiera, via The BMJ Opinion (free)

“We will need new principles and regulations to govern medical artificial intelligence”

 


Perspectives: Augmenting diagnostic vision with AI – The Lancet (free registration required)

 


The Machines Are Getting Ready to Play Doctor – MIT Technology Review (free) (RT @EricTopol see Tweet 1 and Tweet 2)

Original article: Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks – Cornell University Library (free PDF)

In this study, a machine learning algorithm was better at diagnosing arrhythmias than cardiologists.

 


Viewpoint: The Smart-Medicine Solution to the Health-Care Crisis – The Wall Street Journal (by @EricTopol) (a few articles per month are free)

“Our health-care system won’t be fixed by insurance reform. To contain costs and improve results, we need to move aggressively to adopt the tools of information-age medicine”.

 


Viewpoint: The Future of Radiology and Artificial Intelligence – The Medical Futurist (free)

“Radiologists who use AI will replace those who don’t”.

 


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