Clinical multi-agent systems launder demographic triage disparity
On 120 MIMIC-IV cases, all 20 model-topology cells gave Black patients more acute triage; pooling perspectives cut the gap 67–94%.
21 stories, newest first · one card per story
On 120 MIMIC-IV cases, all 20 model-topology cells gave Black patients more acute triage; pooling perspectives cut the gap 67–94%.
Across 56 synthetic settings and three disease cohorts, standard entropy failed to protect minority patients.
A synthetic binational clinical simulation cut a minority node's loss from 0.857 to 0.340 despite under 3% of the data.

In a simulation of complex NEJM cases, MAI-DxO was correct 83% of the time versus 36% for generalists.

A Mayo Clinic sample of five cases was favorable, while a Nature paper found it trailed Gemini and GPT on clinical benchmarks.
False-improvement rates fell from about 12–26% under a naive rule to 0–1.7% across five dataset groups.
On the 48-participant ADReSS test set, a fixed SVM reached 80.88% mean accuracy over fifty seeds.
DeepSeek Flash and GPT-6-astra leaked in 10 of 10 unconstrained September runs and in none when an admission-time constraint was set.
On nearly 180,000 stays from MIMIC-IV, eICU, and MIMIC-III, authors report the highest AUROC in all nine settings.
MindEval2 benchmarks 18 language models on mental-health support using clinician rubrics and realistic simulated patients.
AI Consilium shows model choice beats format for clinical LLM second opinions on NEJM cases.
A two-level framework ranks 99,527 MIMIC-IV disease trajectories by literature novelty and clinical priority.
PRISM reports high AUROCs for emergency diagnosis, deterioration, ICU admission, and mortality.
Study of 127,833 clinician queries finds LLM benchmarks poorly match real clinical assistant use.

Healthleap raised $38 million to scale hospital AI that flags patients who may have undiagnosed conditions.
Frontier LLMs insert small talk into 35% of clinical notes and sometimes treat it as clinical fact.
Clinical LLM tests find accuracy outruns counterfactual validity, with frequent answer changes under demographic prefixes.
OpenTumorBoard benchmarks LLMs on 611 real multidisciplinary tumor-board cases and discussions.
Clinician-calibrated K-Bench evaluates 125 LLM configurations on 200 high-risk mental health vignettes, exposing wide variation in suicide and violence risk handling.
Clinical AI system Doctorina achieved 82.0% primary-care diagnostic concordance versus 57.0% for physicians across 150 synthetic consultations.
Google's AMIE research medical AI system demonstrates real-time clinical video consultations in a first-of-its-kind simulated study.
Today 1.5K readers · 2.4K views · 754 reads · all time 189K views