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dc.contributor.authorKabir, Md Saif
dc.contributor.authorAlam, Shahed
dc.date.accessioned2024-10-28T05:00:15Z
dc.date.available2024-10-28T05:00:15Z
dc.date.copyright©2024
dc.date.issued2024-07-03
dc.identifier.citationKabir, M. S., & Alam, S. (2024). Impact of machine learning and deep learning on biomedical applications and healthcare industry. REFLECTION, 1, 142–149.
dc.identifier.isbn9789849906995
dc.identifier.urihttp://hdl.handle.net/10361/24426
dc.descriptionCataloged from PDF version of the article.en_US
dc.descriptionIncludes bibliographical references (pages 147-149).
dc.description.abstractA 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.en_US
dc.description.statementofresponsibilityMd Saif Kabir
dc.description.statementofresponsibilityShahed Alam
dc.format.extent8 pages
dc.language.isoenen_US
dc.publisherBRAC University Research For Development Club (BURED)en_US
dc.rightsThe 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.
dc.subjectBiomedical engineeringen_US
dc.subjectMachine learningen_US
dc.subjectDeep learningen_US
dc.subjectHealthcareen_US
dc.subjectData-driven insightsen_US
dc.subjectMedical diagnosticsen_US
dc.subjectArtificial intelligenceen_US
dc.subject.lcshArtificial intelligence.
dc.subject.lcshData mining.
dc.subject.lcshHealthcare.
dc.subject.lcshMedical care.
dc.subject.lcshBiomedical engineering.
dc.subject.lcshMachine learning.
dc.titleImpact of machine learning and deep learning on biomedical applications and healthcare industryen_US
dc.typeArticleen_US


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