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Abstract
Precision medicine is being transformed by artificial intelligence, which now allows for predictive diagnostics and personalized therapies. Machine learning (ML) has made tremendous strides in the medical field of genetics, creating classification models for the identification of autoimmune liver diseases (AiLDs), psoriasis, lesions, and skin cancer. AI is emerging as a crucial tactic in digital pathology to get over the limitations of black-box AI models, especially when it comes to rare pediatric endocrine illnesses. AI has the potential to improve diagnostics, identify susceptible genes, and customize treatment for autoimmune hepatitis. Artificial intelligence has potential for revolutionizing the diagnosis, treatment, and management of thyroid, pituitary, adrenal, and pancreatic cancers in endocrinology. This review discusses the use of artificial intelligence in screening, diagnosis, risk assessment, translational research, and preventative medicine.
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