The Application of Machine Learning in the Medical Industry

DOI

10.2991/978-2-38476-277-4_103How to use a DOI?

Keywords

Artificial Intelligence; Machine learning; Medical; Pharmaceutical industry; Healthcare industry; Innovation

Abstract

In the rapidly evolving landscape of the information age, the integration of machine learning has become indispensable within the medical industry. This essay delves into the application of machine learning within two key branches: pharmaceutical and healthcare. It explores how machine learning drives advancements in various stages of drug development, such as target identification, lead generation and optimization, and streamlining clinical trials, thereby enhancing efficiency and cost-effectiveness. Within the healthcare sector, machine learning revolutionizes traditional workflows and diagnostic methods, offering valuable guidance for medical professionals in their diagnoses. This transformative technology extends its benefits to a broad spectrum of stakeholders, including researchers, physicians, and patients, thereby significantly improving healthcare outcomes. Drawing upon a synthesis of literature on machine learning in the medical domain and insights from reports by leading healthcare companies, this essay underscores the tangible impact of machine learning. A compelling real-world case study, such as that of Flatiron Health, further illustrates the profound enhancements facilitated by machine learning in healthcare delivery. However, challenges accompany the widespread adoption of machine learning, such as determining its appropriate use, addressing infrastructure limitations, ensuring the quality of training data, and mitigating issues of overfitting and underfitting. Despite these challenges, research indicates that the overarching benefits of machine learning outweigh the drawbacks. As exploration, adaptation, and cross-industry learning continue to shape the evolution of machine learning in medicine, its potential to revolutionize the field remains promising.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shouhe Chen
PY  - 2024
DA  - 2024/09/02
TI  - The Application of Machine Learning in the Medical Industry
BT  - Proceedings of the 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024)
PB  - Atlantis Press
SP  - 932
EP  - 941
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-277-4_103
DO  - 10.2991/978-2-38476-277-4_103
ID  - Chen2024
ER  -