Holtercare-Bench - Diagnosis (Video): leaderboard
Holtercare-Bench (2026) asks multimodal models closed multiple-choice questions about long-term dynamic ECG (Holter) recordings of 13 to 24 hours from real hospital cases. The diagnosis task asks for the overall diagnosis of the long-term strip among similar arrhythmia options; the ECG is rendered as a sliding-window video. Score is accuracy in percent; higher is better.
Metric: Accuracy (%; multiple-choice closed QA on the overall diagnosis of the long-term strip among similar arrhythmia options; the ECG rendered as a sliding-window video, accelerated or truncated to fit input limits; zero-shot on the held-out test cases of Holtercare-23K, 20 percent of 788 clinical Holter recordings of 13-24 hours). Source: arxiv.org. Saturation forecast: Around March 2027. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Flash | 39.76 | #164 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=holtercare-bench-diagnosis-video · How It Works · Data refreshed daily, snapshot 2026-11-13.