This presentation discusses the importance of machine learning in medicine and its ethical acceptance. It also evaluates examples of its applications in the healthcare sector, such as the Brain Age Project. The research methodology includes a positivism philosophy, inductive research approach, primary and secondary data collection, and simple random sampling. The conclusion highlights the need for sophisticated algorithms to train machine learning models using healthcare data. The recommendations suggest significant use of artificial intelligence and effective input, while also emphasizing the need for human intervention.