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MedPhysBench: A Benchmark for Evaluating Language Models on Medical Physics Calculations and Error Detection

Paper recorded by Signals 4 on 2026-11-03 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.AI · 人工智能 · first seen 2026-11-04

Abstract

Medical physicists turn a prescription into a delivered dose and check one another's calculations, because one error in a beam calibration or a monitor-unit (MU) calculation can affect every patient treated with it. MedPhysBench has ten seeded generators of calculation items in radiation therapy, diagnostic imaging, nuclear medicine and radiation protection, up to clinical tasks such as a TG-51 ca

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#7 most recent of 920 cs.AI papers we have recorded · ↑ newer: Weight-space programming for auditing clinical decision networks · ↓ older: A simple adaptive accelerated optimistic dual averaging method for unc
Cite this page: MedPhysBench: A Benchmark for Evaluating Language Models on Medical Physics Calculations and Error Detection: the #7 most recent of 920 cs.AI papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/medphysbench-a-benchmark-for-evaluating-language-models-on-medical-physics-calcu.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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