Work

Streamlining the Abstract Selection Process for the American Society of Breast Surgeons’ Annual Meeting by Utilizing Large Language Models

Year: 2026

Type: article

Source: Annals of Surgical Oncology

DOI: 10.1245/s10434-026-20138-w

Authors: Lauren N. Cohen, Drake Seibert, Thomas Kosten, Nathan Wolfrath, Zahraa Al-Hilli, Olga Kantor, Puneet Singh, Mediget Teshome, Sarah Blair, Tina J. Hieken, Lee G. Wilke, Anai Kothari, Chandler S. Cortina

Institutions: Medical College of Wisconsin, Cleveland Clinic, Northwestern University, The University of Texas MD Anderson Cancer Center, University of California, Los Angeles, University of California San Diego, Mayo Clinic, Mayo Clinic Comprehensive Cancer Center (Minnesota), University of Wisconsin–Madison, Medical College of Wisconsin Cancer Center

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: Understanding the Influence of Hormone Therapy on Breast Cancer Risk and Screening through Mixed Methods, A National Cohort Study Examining Breast Cancer Diagnostics, Treatments, and Outcomes in Individuals on Hormone Therapy

OpenAlex ID: W7167495208

FWCI: 1.954

Cites: 22

Cited by: 1

Related to: 10