Article

Comparative Evaluation the Knowledge of Large Language Models about Response Evaluation Criteria in Solid Tumors?

2025-05-07

Abstract excerpt

<title>Abstract</title> <p><bold>PURPOSE:</bold> To evaluate the diagnostic prowess of eight cutting‐edge large language models (LLMs) in applying the RECIST 1.1 guidelines for oncologic imaging and to compare their performance with that of board‐certified radiologists. This study explores the potential of LLMs as transformative adjuncts in cancer follow‐up imaging. <bold>MATERIAL AND METHOD:</bold> In this exper...

Topics

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

Identifiers and source

Literature Corpus work: 8484a4cd-0e15-5d13-889f-fcfacfc4a037
DOI: 10.21203/rs.3.rs-6122883/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Comparative Evaluation the Knowledge of Large Language Models about Response Evaluation Criteria in Solid Tumors?DOI 10.21203/rs.3.rs-6122883/v1Read

Diagnostic Performance of Large Language Models and Radiologists in Case-Based Radiology QuestionsSemantic proximity Read

Comparison of Large Language Models’ Performance on Neurosurgical Board Examination QuestionsSemantic proximity Read

Diagnostic Performances of GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro in “Diagnosis Please” CasesSemantic proximity Read

Empowering Radiologists with ChatGPT-4o: Comparative Evaluation of Large Language Models and Radiologists in Cardiac CasesSemantic proximity Read

Hybrid Intelligence in Oncology: Superior Accuracy and Convergence of Large Language Models Over Human Experts in InterpretingSemantic proximity Read

Clinical Safety of Large Language Models in Oral Cancer–Related Patient Communication: A Longitudinal StudySemantic proximity Read

Comparative Performance of Large Language Model-Based Chatbots, Dental Students, and Postgraduate Specialty Students in Text-Based Oral and Maxillofacial Radiology QuestionsSemantic proximity Read

Beyond Accuracy: Multidimensional Evaluation of Large Language Models in Hepatocellular Carcinoma Management Emphasizing PromptingSemantic proximity Read

The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models UseSemantic proximity Read

Board-Level Performance of Leading Open-Weight Vision-Language Models on the Japanese Diagnostic Radiology Board Examination: Reasoning, Image-Input, and Language EffectsSemantic proximity Read

Comparative Performance of General-Purpose Large Language Models and a Specialized Clinical AI Tool on OKAP-Style Ophthalmology QuestionsSemantic proximity Read

Empowering PET Imaging Reporting with Retrieval-Augmented Large Language Models and Reading Reports Database: A Pilot Single Center StudySemantic proximity Read