Recent Developments in Healthcare Through Machine Learning and Artificial Intelligence

This research is a review of recent advancements in the utilization of Machine Learning (ML) and Artificial Intelligence (AI), emphasizing their significant developments across diverse application domains. The purpose of this study is to provide a comprehensive understanding of these technologies and their transformative potential. To achieve this, we conducted an extensive analysis of scholarly literature and case studies, focusing on key applications and recent trends in AI and ML. Our findings reveal critical advancements, particularly in sectors such as business, healthcare, and automation, showcasing the profound impact of these technologies on innovation and operational efficiency. The review also highlights persistent challenges, including ethical concerns, data privacy, and infrastructure requirements. These insights are intended to assist stakeholders in identifying opportunities for the effective implementation and future development of AI and ML applications, ensuring their continued contribution to technological progress.

Authors

Publication Details

Journal
IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Published
2024-10-24
DOI
https://doi.org/10.34306/itsdi.v6i1.680
Citations
5
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.64
Controls
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article

Recent Developments in Healthcare Through Machine Learning and Artificial Intelligence

Royani Royani, Brigitta Callula, Sugiyono Sugiyono, Rio Wahyudin Anugrah et al.
5 citations
IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Big Data and Business Intelligence
2.64
article

Recent Developments in Healthcare Through Machine Learning and Artificial Intelligence

Royani Royani, Brigitta Callula, Sugiyono Sugiyono, Rio Wahyudin Anugrah, Sondang Deri Maulina
article en
5 citations

Abstract

This research is a review of recent advancements in the utilization of Machine Learning (ML) and Artificial Intelligence (AI), emphasizing their significant developments across diverse application domains. The purpose of this study is to provide a comprehensive understanding of these technologies and their transformative potential. To achieve this, we conducted an extensive analysis of scholarly literature and case studies, focusing on key applications and recent trends in AI and ML. Our findings reveal critical advancements, particularly in sectors such as business, healthcare, and automation, showcasing the profound impact of these technologies on innovation and operational efficiency. The review also highlights persistent challenges, including ethical concerns, data privacy, and infrastructure requirements. These insights are intended to assist stakeholders in identifying opportunities for the effective implementation and future development of AI and ML applications, ensuring their continued contribution to technological progress.

IAIC Transactions on Sustainable Digital Innovation (ITSDI)Vol. 6(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Big Data and Business Intelligence
2.64
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