Myura Nagendran, Yang Chen, Christopher A Lovejoy, Anthony C Gordon, Matthieu Komorowski, Hugh Harvey, Eric J Topol, John P A Ioannidis, Gary S Collins, Mahiben Maruthappu Summary This is a good systematic review of medical imaging studies that utilize diagnostic deep learning algorithms with a focu
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
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
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
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
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
The latest developments in machine learning and what they mean for the future of medical image analysis?
Despite a newfound wealth of data and information, the healthcare sector is lacking in actionable knowledge. This is largely because healthcare data, though plentiful, tends to be inherently complex and fragmented. Health data analytics, with an emphasis on predictive analytics, is emerging as a tra
The key landmarks of the vital role of innovation in delivering better healthcare