Transforming Healthcare

View at publisher
Authors: Pallavi Sharma, Rupeena Kumra, Ekta Bhaggi
Cited by: 0
References: 8

Abstract

Artificial Intelligence (AI) and Machine learning (ML) has the potential to revolutionize personalized healthcare by facilitating the creation of individualized treatment plans and data-driven decisions to optimize patient outcomes. That is because AI and ML algorithms can predict illness opportunities, identify patterns, and insisting the treatment options faster and accurately by analyzing the data from different data sets like genetic traits, medical histories, lifestyle factors, and real-time health indicators. This study examines the many uses of AI and ML in customized healthcare, such as medication discovery, precision medicine, early diagnosis, and real-time wearable device monitoring. By minimizing trial-and-error treatment, improving clinical decision-making, and enabling personalized treatment, AI and ML has the potential to totally revolutionize healthcare delivery and make way for more effective, efficient, and patient-centered healthcare.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Internet of Things and AI

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
413–430
Publication date
15 January 2026
Document type
Book chapter