Holtercare-Bench - Presence (Text): 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 presence task asks for whether a given rhythm or abnormal waveform occurs in the recording; the ECG lead is given as text values in millivolts. Score is accuracy in percent; higher is better.
Metric: Accuracy (%; multiple-choice closed QA on whether a given rhythm or abnormal waveform occurs in the recording; the ECG lead given as text, values in millivolts to three decimals, truncated where it exceeds the input limit; 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 May 2027. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 Mini | 76.31 | #348 |
| 2 | Gemini 3 Flash | 67.32 | #164 |
| 3 | MedGemma 1.5 4B | 62.42 | #2562 |
| 4 | Phi-4 Mini Instruct | 52.78 | #6419 |
| 5 | Claude Haiku 4.5 | 51.63 | #568 |
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-presence-text · How It Works · Data refreshed daily, snapshot 2026-11-13.