MRI-based dementia classifiers showed systematic performance gaps across racial and ethnic groups. Fairness-aware adaptation, especially RegAlign, reduced those gaps most consistently.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from Nature communications. MAIN The study we’re discussing is titled “Rising tree mortality in France is associated…

A multiplex plasma proteomics panel combined with supervised machine learning showed promise for distinguishing major dementia etiologies in a cohort study.

AI-assisted dermoscopy improved dermatology residents’ diagnostic accuracy for challenging facial pigmented lesions, particularly lentigo maligna.

A new Radiology: Artificial Intelligence study shows that chest radiograph AI can exploit acquisition exposure parameters as hidden shortcut features, with clinically meaningful performance bias.

In the LUNA25 challenge, a top-performing AI system outperformed the average radiologist in estimating malignancy risk for indeterminate 5-15 mm lung nodules on screening CT.

A large linked-record study has produced a validated tool to estimate serious muscle disorder risk in people eligible for statins in England.

A data-efficient annotation loop using nnU-Net substantially reduced expert time and estimated costs for medical image segmentation across diverse CT and MRI tasks.

Near-real-time AI abstraction paired with physician feedback improved performance on a national sepsis quality measure in a randomized trial.

This study tested whether depression progression can be divided into actionable biological states before full disease onset. In mice, an AI-guided multimodal framework identified a reversible pre-disease window…