Impact of machine learning and deep learning on biomedical applications and healthcare industry

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.issued2024-07-03
dc.descriptionCataloged from PDF version of the article.
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.
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.otherhttps://dspace.bracu.ac.bd/server/api/core/items/32f86276-56b0-4b91-99d3-243ac1a16423
dc.identifier.urihttp://hdl.handle.net/10361/24426
dc.language.isoen
dc.publisherBRAC University Research For Development Club (BURED)
dc.sourceBRAC University Institutional Repository
dc.subjectBiomedical engineering
dc.subjectMachine learning
dc.subjectDeep learning
dc.subjectHealthcare
dc.subjectData-driven insights
dc.subjectMedical diagnostics
dc.subjectArtificial intelligence
dc.titleImpact of machine learning and deep learning on biomedical applications and healthcare industry
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
REFLECTION_RTP115.pdf
Size:
1.42 MB
Format:
Adobe Portable Document Format