Peer-Reviewed Publication
JMIR Hum Factors2026;13e97869.September 30, 2026Journal Article
Conversational AI in Hereditary Cancer Care: Sociotechnical Study of Responsible Design Requirements.
Dominic Lammert1, Jacqueline Lammert2, Justin Hofenbitzer2, Tristan Radtke3, Yingping Sun1,4, Martin Haimerl5, Stefanie Betz6,7, Doran Holger Scholl1, Jürgen Pfeffer1
1Chair of Computational Social Science, TUM School of Social Science and Technology, Technical University of Munich, Hochschule für Politik München, Richard-Wagner-Straße 1, Munich, Bavaria, 80333, Germany, +49 89907793200.
2Chair of Medical Informatics, Institute for AI and Informatics in Medicine, TUM School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany.
3Chair of Law and Regulation of the Digital Transformation, Department of Governance, TUM School of Social Sciences and Technology, Technical University of Munich, Munich, Germany.
4School of Business, Shandong Normal University, Jinan, Shandong, China.
5Faculty II: Engineering and Technology, Furtwangen University, Furtwangen, Baden-Wurttemberg, Germany.
6Faculty I:, Computer Science and Applications, Furtwangen University, Furtwangen, Baden-Wurttemberg, Germany.
7School of Engineering Sciences, Software Engineering, Lappeenranta-Lahti University of Technology (LUT), Lappeenranta, Finland.
Abstract
BACKGROUND: Individuals with BRCA1/2 germline variants face complex, preference-sensitive medical decisions under psychological distress. Structural constraints in genetic counseling create support gaps during waiting periods, prompting patients to rely on fragmented or misleading online information. Conversational AI may offer low-threshold, continuous informational support, yet methods for its r…
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