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NEWS - Tech & Innovation

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”.


Smartphones Open a New World for Medical Researchers – The Wall Street Journal (a few articles per month are free)

“Smartphone-based medical research–good summary of current status (early days), with much more to come” (RT @EricTopol see Tweet)


Precision Medicine: the Promise vs. the Reality – Michigan University Health Lab (free) (RT @pash22 see Tweet)

“Scientists find great potential in using genetic sequencing to help direct targeted cancer therapy, but practicing oncologists see some important limitations”.


Trial of Electrical Direct-Current Therapy versus Escitalopram for Depression – New England Journal of Medicine (link to abstract – $ for full-text)

Commentary: A New Brain-Stimulation Treatment Disappoints – Physician’s First Watch (free)

“For depression, new transcranial direct current stimulation treatment is not as effective as escitalopram” (RT @JWatch see Tweet)


A Reality Check for IBM’s AI Ambitions – MIT Technology Review (free) (RT @EricTopol see Tweet)

“IBM overhyped its Watson machine-learning system, but the company still could have the best access to the kind of data needed to make medicine much smarter”.


Five ways virtual reality is improving healthcare – The Conversation (free)

“Virtual reality can help patients overcome pain, beat phobias and even improve memory” (RT @ConversationUK see Tweet)


Harnessing the Power of Data in Health – Stanford Medicine 2017 Health Trends Report (free PDF)

News release: Stanford Medicine launches health care trends report (free)

“Stanford Medicine launches report on health care trends” (RT @StanfordMed see Tweet)


Machine Learning Versus Standard Techniques for Updating Searches for Systematic Reviews: A Diagnostic Accuracy Study – Annals of Internal Medicine (link to abstract – $ for full-text)

Commentary: Artificial intelligence may help doctors keep up with new research – Reuters (free)

“Machine-learning fed by citations of a systematic saved a ton of time for updating it, didn’t miss important studies” (RT @hildabast see Tweet)


Time to Delivery of an Automated External Defibrillator Using a Drone for Simulated Out-of-Hospital Cardiac Arrests vs Emergency Medical Services – JAMA (link to abstract – $ for full-text)

The JAMA Network – For the Media: Can Use of a Drone Improve Response Times for Out-Of-Hospital Cardiac Arrests Compared to an Ambulance?(free)

Commentaries: Drones Can Get Defibrillators to Bystanders Faster Than EMS Can – Physician’s First Watch (free) AND Defibrillator Drones Can Reach You Four Times Faster Than EMS – ECN (free)

In 18 simulated cases in Sweden, the drones could get automatic external defibrillators to the scene an average of 16 minutes faster than emergency medical services.


Hospitals Are Dramatically Overpaying for Their Technology – Harvard Business Review (a few articles per month are free)

“For years, hospitals have invested in sophisticated devices and IT systems that, on their own, can be awe-inspiring. Yet these technologies rarely share data, let alone leverage it to support better clinical care”.


Interesting read: Here’s What Your Future Doctor Visits Could Look Like – Fortune (free) (RT @EricTopol see Tweet)

According to this point of view “tomorrow’s office visit will increasingly take place everywhere but the office”, with a sharp increase in virtual visits and home visits, with doctors coming to patients.


Automated Identification of Diabetic Retinopathy Using Deep Learning – Ophthalmology (free)

Source: Artificial Intelligence Shows Potential to Fight Blindness – NewsWise (free)

Related article: Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs – JAMA (link to abstract -$ for full-text)

Another study showing an artificial intelligence-based algorithm can be used with high reliability to screen for diabetic retinopathy, with cases referred to an ophthalmologist for further evaluation and treatment.

See more about how doctors might be affected by artificial intelligence in our April 10 issue, see #8.


Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop Medicine – Health Affairs (link to abstract – $ for full-text)

Source: By the Numbers: Docs’ Logged-On Time Increases – MedPage Today (free registration required)

Related: Putting Patients First by Reducing Administrative Tasks in Health Care: A Position Paper of the American College of Physicians (free)

“Electronic health records systems now account for about half of the average doctor’s day”


Can machine-learning improve cardiovascular risk prediction using routine clinical data? – PLOS One (free)

See also: Self-taught artificial intelligence beats doctors at predicting heart attacks – Science (free)

“When expert MD guidelines are outperformed by machine learning for heart risk prediction” (RT @EricTopol see Tweet)


Are Virtual Doctor Visits Really Cost-Effective? Not So Much, Study Says – Kaiser Health News (free)

“Perhaps telehealth visits don’t save money after all. Increased convenience can increase utilization” (RT @drval)


Putting Patients First by Reducing Administrative Tasks in Health Care: A Position Paper of the American College of Physicians (free)

See also: ACP: Stop Saddling Docs With Administrative Tasks – MedPage Today (free registration required)

“It’s time for all those involved in the healthcare industry to reevaluate and reduce the administrative task burden placed on clinicians” (from MedPage commentary above).


Implementation and Evaluation of a Large-Scale Teleretinal Diabetic Retinopathy Screening Program in the Los Angeles County Department of Health Services – JAMA Internal Medicine (free) (RT @PreetiNMalani)

Editorial: Seeing the Effect of Health Care Delivery Innovation in the Safety Net (free)

A large-scale telemedicine diabetic retinopathy screening program increased overall rates of screening by 16.3%, and wait times for screening were reduced by 89.2%.



28 Mar,2017

A.I. VERSUS M.D – What happens when diagnosis is automated? – The New Yorker (free) (RT @EricTopol)

“In some trials, “deep learning” systems have outperformed human experts.”


Telehealth Doctor Visits May Be Handy, But Aren’t Cheaper Overall – NPR Health News (free)

Link to original article abstract ($ required for full-text): Direct-To-Consumer Telehealth May Increase Access to Care But Does Not Decrease Spending – Health Affairs

Costs have increased in this study because 88 percent of telehealth visits represented people who would not have gone to a doctor otherwise.


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