Impact of machine learning and deep learning on biomedical applications and healthcare industry
Loading...
Date
Publisher
BRAC University Research For Development Club (BURED)
Authors
Citation
Kabir, M. S., & Alam, S. (2024). Impact of machine learning and deep learning on biomedical applications and healthcare industry. REFLECTION, 1, 142–149.
Abstract
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.
LC Subject Headings
Description
Cataloged from PDF version of the article.
Includes bibliographical references (pages 147-149).
Includes bibliographical references (pages 147-149).
Publisher Link
Department
Type
Article