British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Medscape

Smartwatch-Based Algorithm May Predict Worsening HF Earlier Than Weight-Based Monitoring

A smartwatch-based AI algorithm shows high accuracy in predicting rises in levels of N terminal pro-B type natriuretic ...
British Journal of Ophthalmology

Commentary on ‘identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning’

The paper by Sajiki et al 1 gives us a fascinating glimpse of the potential benefits of applying machine learning to large ...
The Print on MSN

AI models to predict stroke, diabetes were built on unverifiable data, says study

The study published in the journal BMC Medicine was led by researchers at the Queensland University of Technology and the ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
E&E

Lawmakers press Forest Service on use of weed killer

Democrats asked Forest Service Chief Tom Schultz to explain the agency’s heavy use of glyphosate, alleged to have links to cancer. A pair of Democratic lawmakers is pressing the Forest Service to ...