Evaluating artificial intelligence in decision-making for surgical treatment of benign breast conditions.

Introduction Determining the ideal surgical strategy for breast pathologies can sometimes be challenging, in particular if personalized solutions are required. Moreover, acquiring the necessary expertise takes years. Artificial intelligence (AI) may help streamline decision-making and improve treatment approaches. This study assessed the potential role of AI in therapeutic planning for common breast pathologies.Methods Five clinical cases representing common breast pathologies were presented to ChatGPT-4o, an advanced AI model. Its responses were evaluated by 16 board-certified plastic surgeons and 9 residents for accuracy, relevance, and completeness using a Likert scale. Readability scores were also assessed by considering word length, syllable count, and sentence complexity.Results AI-generated responses were found to be medically accurate, well-structured, and comprehensible. However, they lacked depth in surgical planning and risk assessment. The readability scores were Flesch Reading Ease (27.9), Flesch-Kincaid Grade Level (14.3), and Coleman-Liau Index (15.0), indicating a relatively high reading level.Conclusion ChatGPT-4o can assist in analyzing breast pathologies; however, it does not account for individual patient factors and surgical nuances. Although ChatGPT-4o is not yet suitable for independent decision-making, further refinement, training, and expert validation could enhance the AI's role in future clinical applications.

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-05-09
DOI
https://doi.org/10.48620/87917
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating artificial intelligence in decision-making for surgical treatment of benign breast conditions.

Open Access CRIS of the University of Bern
Artificial Intelligence in Healthcare and Education
article

Evaluating artificial intelligence in decision-making for surgical treatment of benign breast conditions.

article en

Abstract

Introduction Determining the ideal surgical strategy for breast pathologies can sometimes be challenging, in particular if personalized solutions are required. Moreover, acquiring the necessary expertise takes years. Artificial intelligence (AI) may help streamline decision-making and improve treatment approaches. This study assessed the potential role of AI in therapeutic planning for common breast pathologies.Methods Five clinical cases representing common breast pathologies were presented to ChatGPT-4o, an advanced AI model. Its responses were evaluated by 16 board-certified plastic surgeons and 9 residents for accuracy, relevance, and completeness using a Likert scale. Readability scores were also assessed by considering word length, syllable count, and sentence complexity.Results AI-generated responses were found to be medically accurate, well-structured, and comprehensible. However, they lacked depth in surgical planning and risk assessment. The readability scores were Flesch Reading Ease (27.9), Flesch-Kincaid Grade Level (14.3), and Coleman-Liau Index (15.0), indicating a relatively high reading level.Conclusion ChatGPT-4o can assist in analyzing breast pathologies; however, it does not account for individual patient factors and surgical nuances. Although ChatGPT-4o is not yet suitable for independent decision-making, further refinement, training, and expert validation could enhance the AI's role in future clinical applications.

Open Access CRIS of the University of Bern
Plastic Surgery Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 58%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.