Article

Challenges in AI Based Tumor Board Case Summarization and Recommendations

2026-06-16

Abstract excerpt

<title>Abstract</title> <p>Tumor boards, recurring meetings at hospital institutions, assemble multiple cancer specialties (e.g. medical oncology, pathology) to discuss oncological care for patients. In this work, we formally describe the tasks of tumor board case summarization, options generation, and meeting outcomes prediction as AI problems. We study datasets from 4+ medical institutions, providing the perfor...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3554bd70-d4ec-5ed5-b644-98ba38a79ad6
DOI: 10.21203/rs.3.rs-9916397/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Challenges in AI Based Tumor Board Case Summarization and RecommendationsDOI 10.21203/rs.3.rs-9916397/v1Read

Multidisciplinary large language model agent teams for precision oncology enhance complex gynecologic oncology decision supportSemantic proximity Read

CLEVER: Clinical Large Language Model Evaluationby Expert ReviewSemantic proximity Read

Almanac: Retrieval-Augmented Language Models for Clinical MedicineSemantic proximity Read

Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-JudgeSemantic proximity Read

A Retrospective Evaluation of the Microsoft Healthcare Agent Orchestrator for Tumor Board Patient SummariesSemantic proximity Read

Generation of guideline-based clinical decision trees in oncology using large language modelsSemantic proximity Read

Entity-centric evaluation of large language model responses for medical question-answering tasksSemantic proximity Read

Auditing frontier general-purpose large language models in biomedical tasks: reasoning gains, extraction limits, and benchmark reliabilitySemantic proximity Read

Using GPT-4 to Automate the Generation of Lay Summaries for Cancer PublicationsSemantic proximity Read

Understanding Clinical Reasoning Variability in Medical Large Language Models: A Mechanistic Interpretability StudySemantic proximity Read

Patient Centric Summarization of Radiology Findings using Large Language ModelsSemantic proximity Read

Systematic Evaluation of Multilingual Retrieval-Augmented Generation for Gastrointestinal Tumor Board Decision SupportSemantic proximity Read