Welcome to the upgraded BRAC University Institutional Repository. We are currently organizing collections after a recent system upgrade. Homepage category counters may temporarily show lower numbers while syncing, but over 27,000 repository items remain safe and accessible. Please use the search bar to find theses, scholarly outputs, and institutional documents.

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

Loading...
Thumbnail Image

Publisher

BRAC University Research For Development Club (BURED)

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.

Description

Cataloged from PDF version of the article.
Includes bibliographical references (pages 147-149).

Publisher Link

Department

Type

Article