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.
