Healthcare Revolution: How AI and Machine Learning Are Changing Medicine


  • Ayesha Saeed University of Lahore, Pakistan
  • Ali Husnain Chicago State University, USA
  • Saad Rasool Department of computer science, Concordia university Chicago, 7400 Augusta St, River Forest, IL 60305, United States
  • Ahmad Yousaf Gill American National University, USA
  • Amelia Universitas Catur Insan Cendekia (UCIC) Cirebon, Indonesia



artificial intelligence, machine learning, healthcare, disease diagnosis, treatment optimization, pharmaceutical development, personalized medicine, data privacy, bias mitigation, ethical considerations, predictive analytics, medical imaging, robotics, automation, mental healthcare, global accessibility, patient-centric healthcare


This essay examines the enormous effects of machine learning and artificial intelligence (AI) on healthcare. Through data analysis, AI is transforming disease detection and prediction and improving the precision of diagnoses. By accelerating medication discovery and improving individualized treatment programs, it is revolutionizing both treatment and drug development. AI is promoting customized medicine by using genetic information to customize therapies. Through automation and optimized resource allocation, it is streamlining hospital processes. The importance of ethical considerations is significant; they center on data privacy, bias reduction, and accountability. The study highlights potential avenues for AI development, such as AI-driven drug discovery, predictive and preventative healthcare, advances in genomic medicine, enhanced medical imaging, and more robotics and automation. Predictive analytics, telehealth, AI virtual assistants, and AI in mental healthcare are all expected to grow. These developments have the potential to improve health care, streamline processes, and boost scientific inquiry. To use AI in healthcare in a fair and ethical manner, however, and usher in a future that is more patient-centric, accurate, and accessible internationally, difficulties related to data quality, ethics, regulation, and prejudice must be addressed.



How to Cite

Saeed, A., Husnain, A. ., Rasool, S. ., Yousaf Gill, A. ., & Amelia. (2023). Healthcare Revolution: How AI and Machine Learning Are Changing Medicine. Journal Research of Social Science, Economics, and Management, 3(3).