Morphological research in the context of artificial intelligence: analysis of key dilemmas of implementation in medicine Dilemmas of implementing artificial intelligence in medicine

Abstract

This review article examines the merits, problems, and future prospects of AI in morphological research for medicine. The research outlines important issues that AI application in medicine faces, such as a lack of standardized and labeled data, algorithm interpretability, and ethical considerations. To resolve these quandaries and assure the ethical, transparent, and effective deployment of AI in morphological research, the essay underlines the need of collaboration between stakeholders and interdisciplinary teams. The paper concludes that while the successful implementation of AI in morphological research has enormous potential for improving patient outcomes, lowering healthcare costs, and enabling more personalized healthcare, it will necessitate ongoing research and development to ensure ethical guidelines and best practices are followed.