Akademik Veri Yönetim Sistemi
TURKISH JOURNAL OF MEDICAL SCIENCES, cilt.54, sa.3, ss.483-492, 2024 (SCI-Expanded)
Abstract: The aim of this study is to examine the risks associated with the use of artificial intelligence (AI) in medicine and to offer policy
suggestions to reduce these risks and optimize the benefits of AI technology. AI is a multifaceted technology. If harnessed effectively,
it has the capacity to significantly impact the future of humanity in the field of health, as well as in several other areas. However, the
rapid spread of this technology also raises significant ethical, legal, and social issues. This study examines the potential dangers of AI
integration in medicine by reviewing current scientific work and exploring strategies to mitigate these risks.
Biases in data sets for AI systems can lead to inequities in health care. Educational data that is narrowly represented based on a
demographic group can lead to biased results from AI systems for those who do not belong to that group. In addition, the concepts of
explainability and accountability in AI systems could create challenges for healthcare professionals in understanding and evaluating
AI-generated diagnoses or treatment recommendations. This could jeopardize patient safety and lead to the selection of inappropriate
treatments. Ensuring the security of personal health information will be critical as AI systems become more widespread. Therefore,
improving patient privacy and security protocols for AI systems is imperative.
The report offers suggestions for reducing the risks associated with the increasing use of AI systems in the medical sector. These include
increasing AI literacy, implementing a participatory society-in-the-loop management strategy, and creating ongoing education and
auditing systems. Integrating ethical principles and cultural values into the design of AI systems can help reduce healthcare disparities
and improve patient care. Implementing these recommendations will ensure the efficient and equitable use of AI systems in medicine,
improve the quality of healthcare services, and ensure patient safety.
Key words: Artificial intelligence, medicine, society-in-the-loop, bias, ChatGPT, accountability