< 1 minute read
Peer Reviews
Five pitfalls in decisions about diagnosis and prescribing
Jill G Klein Author’s Summary I wrote this article in late 2004. As a social psychologist I was very aware of the role of decision-making biases in our judgments, and found it interesting that there wasn’t much awareness or discussion of these biases in medicine. The biases I covered in the paper i
3 minute read
Executive
Clinical Decision Support in the Era of Artificial Intelligence
Edward H. Shortliffe, MD, PhD, Martin J. Sepúlveda, MD, ScD Author’s Summary Clinicians and researchers have long envisioned the day when computers could assist with difficult decisions in complex clinical situations, thereby making computer-based decision support a dominant topic of informatics re
2 minute read
Executive
Ten ways AI will transform primary care
Steven Y Lin, MD, Megan R Mahoney, MD and Christine A Sinsky, MD Author’s Summary Artificial intelligence (AI) is poised as a transformational force in healthcare. This paper presents a current environmental scan, through the eyes of primary care physicians, of the top ten ways AI will impact primar
3 minute read
Peer Reviews
An essential primer for radiologists
Gabriel Chartrand, PhD, Phillip M Cheng, MD, MS Eugene Vorontsov, BASc Eng Sci, Michal Drozdzal, PhD Simon Turcotte, MD, MSc, Christopher J Pal, PhD Samuel Kadoury, PhD, An Tang, MD, MSc Author’s Summary Deep learning is a class of machine learning methods that are gaining success and attracting int
2 minute read
AI in Medicine
Rethinking multi-scale cardiac electrophysiology with machine learning and predictive modelling
Abstract We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibrillation, are a major global healthcare challenge. Treatment is often through catheter ablation, which involves t
< 1 minute read
AI in Medicine
An overview of deep learning in medical imaging focusing on MRI
The latest developments in machine learning and what they mean for the future of medical image analysis?
< 1 minute read