Pai 的 AI 雷达

生信医疗

今天:Scaling Clinical Judgment(arXiv:2609),When Rubrics Fail(arXiv:2609)。并行还有 A Multimodal Explainable、Anchoring Clinical Events、Assessment of Non-In。

日期
2026/09/15
今日条目
74
当前类目
6
#01

Scaling Clinical Judgment to Evaluate Medical AI

arXiv:2609.12822v1 Announce Type: new Abstract: Blinded physician evaluation has been considered by many to be the gold standard for assessing clinical reasoning in large language models (LLMs). This is difficult to scale; thus, prior studies typically rely on small physician pan

推荐理由Scaling Clinical Judgment to Evaluate:arXiv:2609.12822v1 Announce Type: new Abstract: Blinded physician evaluation has been。
模型与评测生信医疗arXiv cs.AI 官方
#02

When Rubrics Fail: Hallucinations Reveal Blind Spots in Medical AI Evaluation

arXiv:2609.12718v1 Announce Type: new Abstract: Hallucinations can undermine clinician trust in LLMs, making it important that evaluation methods capture clinically relevant errors. Rubric-based evaluation has become the leading approach for assessing LLMs in medicine, but it is

推荐理由When Rubrics Fail: Hallucinations:arXiv:2609.12718v1 Announce Type: new Abstract: Hallucinations can undermine clinician。
模型与评测生信医疗arXiv cs.AI 官方
#03

A Multimodal Explainable Deep Learning Framework for Alzheimer's Disease Diagnosis using 3D Magnetic Resonance Imaging and Clinical Data

arXiv:2609.12410v1 Announce Type: new Abstract: Dementia is a major and growing global health burden, with Alzheimer's disease (AD) accounting for most cases. Timely and accurate diagnosis is central to managing this burden and increasingly depends on integrating complementary cl

推荐理由A Multimodal Explainable Deep Learning:arXiv:2609.12410v1 Announce Type: new Abstract: Dementia is a major and growing global。
模型与评测生信医疗arXiv cs.CV 官方
#04

Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstruction and Source-Grounded Adjudication

arXiv:2609.13062v1 Announce Type: new Abstract: Clinical timelines support treatment-window analysis and leakage-free modeling, but discharge summaries often obscure chronology and structured EHR tables describe only part of the patient course. We present a UID-preserving framewo

推荐理由Anchoring Clinical Events in Time:arXiv:2609.13062v1 Announce Type: new Abstract: Clinical timelines support。
模型与评测生信医疗arXiv cs.AI 官方
#05

Assessment of Non-Institutional AI Tool Usage Among Clinicians

arXiv:2609.11990v1 Announce Type: cross Abstract: Generative artificial intelligence (AI) tools are increasingly accessible and have the potential to improve efficiency across clinical workflows. However, clinicians may also use non-institutional AI tools that are not provided, m

推荐理由Assessment of Non-Institutional AI Tool:arXiv:2609.11990v1 Announce Type: cross Abstract: Generative artificial intelligence。
模型与评测生信医疗arXiv cs.AI 官方
#06

Beyond Accuracy: Uncertainty-Guided Boundary Refinement for Reliable Biomedical Image Segmentation

arXiv:2609.12892v1 Announce Type: new Abstract: Accurate biomedical image segmentation requires not only high global overlap but also reliable delineation of clinically meaningful boundaries. In blood-smear microscopy, cytoplasm and nucleus contours provide the structural basis f

推荐理由Beyond Accuracy: Uncertainty-Guided:arXiv:2609.12892v1 Announce Type: new Abstract: Accurate biomedical image segmentation。
模型与评测生信医疗arXiv cs.CV 官方