Kabir, Md SaifAlam, Shahed2024-10-282024-10-28©20242024-07-03Kabir, M. S., & Alam, S. (2024). Impact of machine learning and deep learning on biomedical applications and healthcare industry. REFLECTION, 1, 142–149.9789849906995http://hdl.handle.net/10361/24426Cataloged from PDF version of the article.Includes bibliographical references (pages 147-149).A new era of innovation and change in healthcare and medical diagnostics has started as a result of the advancements in Machine Learning (ML) and Deep Learning (DL). Machine learning and deep learning are not just supplemental tools. They are also the catalysts for a paradigm shift in healthcare industry that promises more efficient and individualized healthcare solutions in the nearby future. The substantial impacts of these cutting-edge algorithms on the biomedical applications have been explored in this research paper. With the help of Artificial Intelligence (AI) and its related field, researchers and healthcare professionals now have access to technologies that can analyze large and complicated datasets, extract insightful knowledge, diagnose medical conditions and make incredibly precise predictions.8 pagesenThe BRAC University Research For Development Club (BURED) retains all rights. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Biomedical engineeringMachine learningDeep learningHealthcareData-driven insightsMedical diagnosticsArtificial intelligenceArtificial intelligence.Data mining.Healthcare.Medical care.Biomedical engineering.Machine learning.Article