Promise and Perils of Large Language Models for Cancer Survivorship and Supportive Care-Reference-Cited by-同舟云学术

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Promise and Perils of Large Language Models for Cancer Survivorship and Supportive Care

Published:2024-05-10 Issue:14 Volume:42 Page:1607-1611
ISSN:0732-183X
Container-title:Journal of Clinical Oncology
language:en
Short-container-title:JCO

Author:

Bitterman Danielle S.¹²^ORCID,Downing Andrea³,Maués Julia⁴^ORCID,Lustberg Maryam⁵

Affiliation:

1. Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA

2. Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA

3. The Light Collective, Eugene, OR

4. GRASP, Washington, DC

5. Department of Medical Oncology, Yale School of Medicine, New Haven, CT

Abstract

A call to action to bring stakeholders together to plan for the future of LLM-enhanced cancer survivorship.

Publisher

American Society of Clinical Oncology (ASCO)

Link

https://ascopubs.org/doi/pdfdirect/10.1200/JCO.23.02439

Reference52 articles.

1. Mitigating long-term and delayed adverse events associated with cancer treatment: implications for survivorship

2. Symptoms experienced by cancer patients and barriers to symptom management

3. Effect of Perceived Barriers to Symptom Management on Quality of Life in Older Breast Cancer Survivors

4. Perceived barriers to symptoms management among family caregivers of cancer patients

5. Barriers to symptom management care pathway implementation in pediatric Cancer

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1. The Most Disruptive Near-Term Use of AI in Cancer Care: Patient Empowerment Through Software Agents;AI in Precision Oncology;2024-08-30

2. When Bad News Comes Through the Portal: Strengthening Trust and Guiding Patients When They Receive Bad Results Before Their Clinicians;American Society of Clinical Oncology Educational Book;2024-06

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