The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
2UrbanGirls on MSNOpinion

Neel Somani on formal methods and the future of machine learning safety

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
Open Heart

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

AI Patent Eligibility Has Shifted With One Machine-Learning Case

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
Healio

AI, machine learning, oculomics will change the way ophthalmologists practice

Please provide your email address to receive an email when new articles are posted on . AI and machine learning are becoming household terms. Anyone who invests in the U.S. stock market is familiar ...
Clinical Pain Advisor

Novel Machine Learning Model Accurately Predicts OUD Risk in Chronic Noncancer Pain

Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.
TheServerSide

AWS Machine Learning Associate Practice Exams

Community driven content discussing all aspects of software development from DevOps to design patterns. Over the past few months, I have been helping data engineers, developers, and machine learning ...