Article

Enhancing Doctor-Patient Communication Using Large Language Models for Pathology Report Interpretation

2024-07-03

Abstract excerpt

<title>Abstract</title> <p>Background Large language models (LLMs) are increasingly utilized in healthcare settings. Postoperative pathology reports, which are essential for diagnosing and determining treatment strategies for surgical patients, frequently include complex data that can be challenging for patients to comprehend. This complexity can adversely affect the quality of communication between doctors and...

Topics

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

Identifiers and source

Literature Corpus work: a5547434-e7de-5f08-a719-00ea897210fb
DOI: 10.21203/rs.3.rs-4557335/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Enhancing Doctor-Patient Communication Using Large Language Models for Pathology Report InterpretationDOI 10.21203/rs.3.rs-4557335/v1Read

Synoptic Reporting by Summarizing Cancer Pathology Reports using Large Language ModelsSemantic proximity Read

The Transformative Potential of Large Language Models in Mining Electronic Health Records DataSemantic proximity Read

Large language models in simplifying radiological reports: systematic reviewSemantic proximity Read

A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future DirectionsSemantic proximity Read

Systematic Literature Review of LLM-Large Language Model in Medical: Digital Health, Technology and ApplicationsSemantic proximity Read

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

Large Language Models in Radiology Reporting—A Systematic Review of Performance, Limitations, and Clinical ImplicationsSemantic proximity Read

Transforming Radiology Communication: The Impact of GPT-4 on Crafting Patient-Friendly Summaries - A Short ReviewSemantic proximity Read

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

On the limitations of large language models in clinical diagnosisSemantic proximity Read

Data Extraction from Oncology Imaging Reports by Large Language Models: A Comparative Accuracy StudySemantic proximity Read

A comparison of large language model versus manual chart review for extraction of data elements from the electronic health recordSemantic proximity Read