A Comprehensive Examination of the Advancements in Deep Learning Models for Enhanced Disease Prediction

The field of human disease prediction holds great promise for revolutionizing healthcare through early diagnosis and customized treatment plans. Therefore, studies on thisregion are crucial. A short time ago, deep learning has been increasingly incorporated into many different sectors of artificial intelligence, owing to its exceptional performance and ability to autonomously acquire features. In the field of medicine, particularly in the realm of deep neural learning, the accuracy rate surpasses that of doctors. This paper provides an outline of the challenges faced by deep learning systems in predicting human diseases. Despite these challenges, deep learning has great promise for enhancing human disease detection and prediction. Addressing these issues will require collaboration between machine learning researchers, healthcare professionals, and policymakers in order to guarantee that deep learning models in healthcare are safe, effective, and morally sound.