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 ...

Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Frontiers

AI & Machine Learning for Injury Prediction: From Data to Preventive Strategies

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...
HealthDay on MSN

Proteomics-, AI-based prediction system developed for diabetic retinal neurodegeneration

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic retinal neurodegeneration (DRN), according to a study published online June 2 ...
Healio

CGM ‘substantially’ improves glycemia for adults with type 2 diabetes not using insulin

Please provide your email address to receive an email when new articles are posted on . CGM improved HbA1c, time in range and other metrics over 26 weeks. CONNECT trial suggests CGM can be considered ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...