Computer Vision and AI in Personalized Medicine: Exploring Machine Learning's Impact on Predicting Treatment Outcomes and Enhancing Therapeutic Approaches
Bui Thi Hoai
Abstract
Personalized medicine has emerged as a promising approach to healthcare, aiming to tailor medical interventions to individual patients based on their unique characteristics. Computer vision and artificial intelligence (AI) technologies, particularly machine learning, have the potential to revolutionize personalized medicine by enabling the prediction of treatment response and the optimization of therapeutic strategies. This research article explores the role of machine learning in personalized medicine, focusing on its applications in predicting treatment outcomes, identifying patient subgroups, and guiding treatment decisions. By examining the current state of research, case studies, and future prospects, we aim to highlight the transformative potential of machine learning in improving patient care and advancing precision medicine. The article also discusses the challenges and considerations associated with the implementation of machine learning in clinical practice, including data quality, interpretability, and ethical concerns.
Author Biography
Bui Thi Hoai
Bui Thi Hoai, Department of Computer Science, Phu Yen University, 42 Tran Phu Street, Tuy Hoa City, Phu Yen Province, Vietnam
