Manziuk, EduardBarmak, OleksandrKrak, IuriiPetliak, N.Jin, Zh.Radiuk, Pavlo2024-11-262024-11-262024-06-23Manziuk E., Barmak O., Krak I.2,3, Petliak N., Jin Zh., Radiuk P. Interpretable deep learning method for medical image diagnosis // Intelligent Systems Of Decision-Making And Problems Of Computational Intelligence (ISDMCI’2024) : Conference proceedings, Khmelnytskyi, Ukraine; Usti nad Labem, Czech Republic, 20–23 June 2024 / ed. by V. Lytvynenko, S. Babichev. Kherson, 2024. P. 26–28. URL: https://www.isdmci.ks.ua/978-617-8187-21-7https://elar.khmnu.edu.ua/handle/123456789/17117Incorporating artificial intelligence into the medical field holds immense potential, but it also raises significant challenges that must be addressed to ensure patient safety and ethical practices. While AI can enhance efficiency and support decision-making processes, its application in healthcare demands utmost caution and rigorous safeguards.enInterpretable deep learningMedical image diagnosisExplainable artificial intelligence (XAI)Тези доповідей004.89