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Background: Industry 4.0 aims to increase the productivity in all aspects and to create simultaneously effectivity and efficiency by using Artificial Intelligence (AI), Machine Learning (ML) and Hypoconnectivity; to achieve these objectives in medical education and health service it needs collective big data, algorithms and statistic tools. Purpose: The purpose of these study is to look for the possibility the utilization of AI, ML in medical education and health service in Indonesia. Methods: Literature Study Results: Data required by ML is a thousand of predictor variable such: physiology data, anatomy, biochemistry, patient data sourcing from anamnesis, physical examination and supporting data examination. All kind of those data process using algorithm and statistical standard model. With the result of that we have record for data and information to make diagnosis and prognosis. In biomedicine, ML are able to determine the optimum diet based on function and protein structure from genetic sequences. AI, ML and matric curriculum capable to made excellent format as “click-on”. Curriculum matrix can be explored by the expected learning outcomes, Curriculum contents of expertise covered, Students Assessment, Learning Opportunities, Learning Location, Learning Resources, Time Table, Staff, Curriculum management and Students. The matrix provides one way of tracing the link between curriculum level as planned, as delivered and as experienced. A curriculum has at least four important elements: contents, teaching, learning strategy, assessment process and evaluation process. Implementation ML not only limited to curriculum but also virtual patient, virtual teacher, virtual environment. Conclusion: Human physician and AI doctors will work together to create the best hospital services. “Click-on” easily identified: what, when, where, how students and staff, also curriculum elements.