ChatGPT-4o-Generated Exercise Plans for Patients with Type 2 Diabetes Mellitus—Assessment of Their Safety and Other Quality Criteria by Coaching Experts

In this discussion paper based on preliminary data, the safety and other quality criteria of ChatGPT-4o-generated exercise plans for patients with type 2 diabetes mellitus (T2DM) are evaluated. The study team created three fictional patient profiles varying in sex, age, body mass index, secondary diseases/complications, medication, self-rated physical fitness, weekly exercise routine and personal exercise preferences. Three distinct prompts were used to generate three exercise plans for each fictional patient. While Prompt 1 was very simple, Prompt 2 and Prompt 3 included more detailed requests. Prompt 3 was optimized by ChatGPT itself. Three coaching experts reviewed the exercise plans for safety and other quality criteria and discussed their evaluations. Some of the exercise plans showed serious safety issues, especially for patients with secondary diseases/complications. While most exercise plans incorporated key training principles, they showed some deficits, e.g., insufficient feasibility. The use of more detailed prompts (Prompt 2 and Prompt 3) tended to result in more elaborate exercise plans with better ratings. ChatGPT-4o-generated exercise plans may have safety issues for patients with T2DM, indicating the need to consult a professional coach for feedback before starting a training program.

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Publication Details

Journal
Sports
Published
2025-03-24
DOI
https://doi.org/10.3390/sports13040092
Citations
4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
2.62
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article

ChatGPT-4o-Generated Exercise Plans for Patients with Type 2 Diabetes Mellitus—Assessment of Their Safety and Other Quality Criteria by Coaching Experts

Thorsten Kreutz, Samir Akrimi, Christian Brinkmann, Leon Schwensfeier et al.
4 citations
Sports
Artificial Intelligence in Healthcare and Education
2.62
article

ChatGPT-4o-Generated Exercise Plans for Patients with Type 2 Diabetes Mellitus—Assessment of Their Safety and Other Quality Criteria by Coaching Experts

Thorsten Kreutz, Samir Akrimi, Christian Brinkmann, Leon Schwensfeier, Peter Düking
article en
4 citations

Abstract

In this discussion paper based on preliminary data, the safety and other quality criteria of ChatGPT-4o-generated exercise plans for patients with type 2 diabetes mellitus (T2DM) are evaluated. The study team created three fictional patient profiles varying in sex, age, body mass index, secondary diseases/complications, medication, self-rated physical fitness, weekly exercise routine and personal exercise preferences. Three distinct prompts were used to generate three exercise plans for each fictional patient. While Prompt 1 was very simple, Prompt 2 and Prompt 3 included more detailed requests. Prompt 3 was optimized by ChatGPT itself. Three coaching experts reviewed the exercise plans for safety and other quality criteria and discussed their evaluations. Some of the exercise plans showed serious safety issues, especially for patients with secondary diseases/complications. While most exercise plans incorporated key training principles, they showed some deficits, e.g., insufficient feasibility. The use of more detailed prompts (Prompt 2 and Prompt 3) tended to result in more elaborate exercise plans with better ratings. ChatGPT-4o-generated exercise plans may have safety issues for patients with T2DM, indicating the need to consult a professional coach for feedback before starting a training program.

SportsVol. 13(4)
German Sport University Cologne (DE), Hochschule Düsseldorf University of Applied Sciences (DE), Technische Universität Braunschweig (DE)
Good health and well-being
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
2.62
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ChatGPT-4o-Generated Exercise Plans for Patients with Type 2 Diabetes Mellitus—Assessment of Their Safety and Other Quality Criteria by Coaching Experts — Thorsten Kreutz, Samir Akrimi, et al. · Sports (2025) | TGRS Research Map | TGRS