Revolutionizing Histopathology: Utilizing Large Language Model for Report Interpretation and Medical Education
DOI:
https://doi.org/10.35845/abms.2024.1.349Abstract
The arrival of large language models like Open AI’s ChatGPT, Microsoft’s Copilot and Google’s Gemini AI heralds a revolutionary era in various medical fields including the interpretation of histopathology reports. Histopathology is a foundation in diagnostic medicine which traditionally depends on the skill of a histopathologist to interpret cytology and tissue biopsies. However, a fusion of large language models (artificial intelligence) has enhanced diagnostic accuracy and lessened the workload burden on pathologists especially in human resource-constrained setups. This editorial explores the merits and demerits of integrating large language models for interpreting histopathology reports supported by evidence.
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Copyright (c) 2024 Sadia Yaseen, Alishbah Saeed, Shafaq Mehmood
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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