The Civil Liability of Physicians for Misdiagnosis Using Artificial Intelligence

Abstract

This study examines the civil liability of physicians for misdiagnosis resulting from the use of artificial intelligence technologies in the medical field, in light of the rapid technological development witnessed by modern healthcare systems. Artificial intelligence has become a pivotal tool in supporting medical decision-making, particularly in diagnosis, through the analysis of medical images

and clinical data, and the prediction of diseases with a level of speed and accuracy that often exceeds human capabilities (Tantawy, 2020; Boden, 2018).

I

The research aims to clarify the conceptual framework of artificial intelligence by reviewing its linguistic, doctrinal, technical, and legal definitions, as well as its growing role in medical diagnosis and its practical advantages in improving healthcare quality and reducing human error. At the same time, it discusses the legal challenges raised by reliance on these technologies, especially when a diagnostic error occurs that causes harm to the patient (Hassan, 2022; Abdul Razzag, 2020).

The study further analyzes the extent of physicians civil liability when relying on artificial intelligence systems, distinguishing between professional fault-resulting from misuse or failure to verify outputs and technical fault—arising from defects in system design, programming, or data. It also addresses the scope of compensation and the practical difficulties in proving fault, causation, and identifying the liable party.

The study concludes by emphasizing the need to develop legislative frameworks that keep pace with artificial intelligence in medical diagnosis while balancing technological innovation with patient

protection.