Despite so, there is a lack of direct access to relevant ML education for clinicians and biomedical researchers. Various factors attribute to the failure of ML to be integrated within undergraduate and graduate medical education training. At present, there is no accreditation requirements related to retain curricular hours in the present schema with the emerging biomedical knowledge and demands for new content segments. In the United States, assessment in undergraduate medical education, places great emphasis on the preparation of licensing exams and a recent competency focus on entrustable professional activities (EPA's), none of which involves AI. In addition, medical schools fall short of faculty expertise needed to teach this content which is mainly conducted in computer science, mathematics and engineering faculties.