The Use of ChatGPT in Diagnosing Tularemia– A Case Report on the Associated Challenges and Treatment

Josef Kim*, Nicole Müller, Tobias Wagelöhner, Daniel Köppen, Daniela Jacob, Klaus Heuner, Abedalrazag Ahmad Khalifa and Lars Uwe Stephan

Department of Internal Medicine, Bundeswehrkrankenhaus Berlin, Germany Department of General and Visceral Surgery, Bundeswehrkrankenhaus Berlin, Germany National Consultant Laboratory for Francisella tularensis, Centre for Biological Threats and Special Pathogens, Robert Koch Institute, Germany Pathology practice, MVZ Pathologie Berlin Berger Fietze Linke Nadjari GmbH, 10115 Berlin, Germany Department of Hematology, Oncology and Tumor Immunology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Germany

^*Correspondance to: Josef Kim 

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Abstract:

The increasing use of Artificial Intelligence (AI) requires heightened sensitivity, especially in medical applications. We report a case of tularemia with a prolonged disease course, where the diagnosis was made through the pioneering use of AI by the patient himself. In this context, the use, opportunities, and risks of AI in medicine are examined in the context of rare diseases. Furthermore, the challenges of diagnosing and treating tularemia are discussed, especially as rising incidences are lately being reported in Germany.

Keywords:

Tularemia, Francisella tularensis, AI, ChatGPT, Rare diseases

Cite the Article:

Kim J, Müller N, Wagelöhner T, Köppen D, Jacob D, Heuner K, et al. The Use of ChatGPT in Diagnosing Tularemia– A Case Report on the Associated Challenges and Treatment. Ann Clin Case Rep. 2025; 10: 2729..