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CC BY 4.0 · Brazilian Journal of Oncology 2025; 21: s00451809360
DOI: 10.1055/s-0045-1809360
Original Article

Suffering-based Medicine in the Age of Artificial Intelligence

Auro del Giglio 
1   Centro Universitário Faculdade de Medicina do ABC (FMABC), Santo André, SP, Brazil
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Abstract

The present paper delves into suffering-based medicine (SBM) and its potential use with artificial intelligence (AI). Suffering-based medicine provides a hermeneutical approach to patient care, allowing a deeper understanding of the subjective experiences and meaning behind a patient's suffering. With the rise of large language models (LLMs) based on deep learning, the integration of AI in the medical field has become increasingly frequent. The current study explores two cases of physicians diagnosed with cancer, utilizing SBM and an LLM, to analyze their narratives and provide a hermeneutical understanding of their suffering. Through this integration, AI can offer valuable insights into the multidimensional nature of suffering and enhance the patient-physician relationship. Further research is needed to assess the practical application and impact of this integration on patient outcomes.

Keywords

physician-patient relations - artificial intelligence - deep learning - neoplasms/psychology - medicine - narrative


Publication History

Received: 20 February 2025

Accepted: 15 March 2025

Article published online:
02 June 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/)

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Bibliographical Record
Auro del Giglio. Suffering-based Medicine in the Age of Artificial Intelligence. Brazilian Journal of Oncology 2025; 21: s00451809360.
DOI: 10.1055/s-0045-1809360
 

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