Tech & Innovation

There’s a reason we don’t know much about AI – Politico (free)


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Liquid versus tissue biopsy for detecting acquired resistance and tumor heterogeneity in gastrointestinal cancers – Nature Medicine (link to abstract – $ for full-text)

Commentary: Liquid biopsies reveal genetic alterations linked to cancer drug resistance – Broad Institute of MIT and Harvard (free)


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Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests – JAMA Network Open (free)

Commentary: Is that blood test really necessary? AI could help decide – Stanford Medicine (free)


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An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis – Nature Medicine (free for a limited period)


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Artificial intelligence in intensive care: are we there yet? – Intensive Care Medicine (free PDF)


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Assessment of Deep Natural Language Processing in Ascertaining Oncologic Outcomes From Radiology Reports – JAMA Oncology (free for a limited period)

Commentaries: The Tipping Point for Deep Learning in Oncology – JAMA Oncology (free for a limited period) AND Deep Natural Language Processing of Oncology Radiology Reports – The ASCO Post (free)


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Digital Health: A Path to Validation

29 May, 2019 | 10:42h | UTC

Healthcare in The Age Of Personalization

20 Apr, 2019 | 14:29h | UTC

Effect of Text Messaging on Risk Factor Management in Patients With Coronary Heart Disease: The CHAT Randomized Clinical Trial – Circulation: Cardiovascular Quality and Outcomes (free)

Editorial: The CHAT Trial:Time for a Heart to Heart Talk (free)

Very important negative study.


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3 Ways AI is Already Changing Medicine

17 Mar, 2019 | 18:16h | UTC

Opinion: The A.I. Diet

7 Mar, 2019 | 13:14h | UTC

The A.I. Diet – The New York Times (10 articles per month are free)

“Forget government-issued food pyramids. Let an algorithm tell you how to eat.”


The Topol Review: Preparing the healthcare workforce to deliver the digital future – NHS Health Education England (free report and related resources)


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Artificial Intelligence in Health Care – AMA Journal of Ethics (free articles)


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A.I. Could Worsen Health Disparities – The New York Times (free)

“In a health system riddled with inequity, we risk making dangerous biases automated and invisible.”


Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks – Radiology (free for a limited period)

Commentary: AI interprets chest x-rays, prioritizes critical findings – Radiology Business (free)


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Questions for Artificial Intelligence in Health Care – JAMA (free for a limited period)

Related: Humanizing Artificial Intelligence – JAMA (free for a limited period)


First Human Patients Receive Remote PCI

13 Dec, 2018 | 17:58h | UTC

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.”


Report: The Future of Healthcare

5 Oct, 2018 | 02:39h | UTC

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.”


3-D Color X-Rays in Development

20 Jul, 2018 | 02:05h | UTC

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”.