The Role of Empathy in Critical Reasoning and the Limitations of Medical AI Systems

The recent developments of medical AI systems (MAIS) open up questions as to whether and to what extent MAIS can be modeled to include empathetic understanding, as well as what impact MAIS' lack of empathetic understanding would have on its ability to perform the necessary critical analyses for reaching a diagnosis and recommending medical treatment. In this article, we argue that current medical AI systems' ability to empathize with patients is severely limited due to its lack of first-person experiences with human interests and that efforts to correct for this deficit-by having MAIS interpret patients' medical and non-medical interests-will encounter significant obstacles. Finally, we demonstrate how MAIS' lack of empathy is likely to hinder its performance in crucial aspects of the processes through which useful medical diagnoses are reached and through which appropriate treatment recommendations for patients are determined.

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Publication Details

Journal
The Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine
Published
2025-08-07
DOI
https://doi.org/10.1093/jmp/jhaf022
Primary Topic
Empathy and Medical Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Empathy in Critical Reasoning and the Limitations of Medical AI Systems

Martina Favaretto, Kyle Stroh
The Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine
Empathy and Medical Education
article

The Role of Empathy in Critical Reasoning and the Limitations of Medical AI Systems

Martina Favaretto, Kyle Stroh
article en

Abstract

The recent developments of medical AI systems (MAIS) open up questions as to whether and to what extent MAIS can be modeled to include empathetic understanding, as well as what impact MAIS' lack of empathetic understanding would have on its ability to perform the necessary critical analyses for reaching a diagnosis and recommending medical treatment. In this article, we argue that current medical AI systems' ability to empathize with patients is severely limited due to its lack of first-person experiences with human interests and that efforts to correct for this deficit-by having MAIS interpret patients' medical and non-medical interests-will encounter significant obstacles. Finally, we demonstrate how MAIS' lack of empathy is likely to hinder its performance in crucial aspects of the processes through which useful medical diagnoses are reached and through which appropriate treatment recommendations for patients are determined.

The Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of MedicineVol. 50(6)
University of Toronto (CA), The Ohio State University (US)
Openalex Percentile: Top 68%
Empathy and Medical Education
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