Recent Pediatrics coverage reveals a cohesive shift: AI is automating imaging diagnosis while simultaneously predicting how pediatric diseases unfold over time. Modern architectures enable both capabilities even when…

For predicting individual cognitive decline in Parkinson’s disease, this study argues that the bottleneck is not the algorithm. It is the fidelity of the cognitive measurements fed into…

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from NPJ digital medicine. MAIN Today we’re looking at “Human-AI co-design for clinical prediction models,” by Jean…

A large cohort study suggests that plasma proteomic aging clocks can capture biologic signals relevant to ocular aging and major age-related eye diseases.

Fundus2Video converts a routine color fundus photograph into a dynamic fluorescein angiography video, offering an AI-synthesized approximation of vascular phase information without dye injection.

Making computer-aided detection available in routine VA colonoscopy practice was associated with a meaningful increase in adenoma detection, even where baseline detection rates were already high.

RenalCLIP is a kidney cancer-focused vision-language foundation model designed to assess renal masses from CT without invasive sampling. In this multicenter retrospective study, it outperformed conventional CNNs and…

Noisy doctor-patient transcripts can limit medical LLM training. Qin, Tang, Huang et al. show that an agent-based pipeline can reconstruct clinical conversations into structured transcripts and improve downstream…

Wang, Tsao, Hsieh et al. report ANTIBIOTIC, a deep learning system that analyzes raw MALDI-TOF spectra to identify bacteria and predict antimicrobial resistance. The headline result is clear:…

Medicine is shifting from diagnosis to prediction. Cancer detected five years early. Sleep apnea from infrared video. Prostate cancer detection that beats experts. This week's papers show AI…