Advancing Healthcare: The Power of AI in Robotics, Diagnostics, and Precision Medicine

Authors

  • Syed farooq Mohi-U-din University of engineering and technology, Email: syedfarooq758@gmail.com Author
  • Mehtab Tariq University of Engineering and technology, Email: mehtab.cheema123@gmail.com Author
  • Usman khalid Department of CS, COMSATS, Email: usmanchoudhary0000@gmail.com Author
  • Iftikhar Bhatti Heller School for Social Policy and Management, Brandies University, Waltham, MA, USA, Email: Iftikharbhatti@brandeis.edu Author
  • AFTAB TARIQ Department of information and technology, American National University, Salem Virginia, Email: tariqa@students.an.edu Author
  • Yawar Hayat Institute of Business Administration, University Rd, Karachi City, Sindh 75270, Pakistan, Email: yawar.hayat@khi.iba.edu.pk Author

Keywords:

AI, robotics, diagnostic image analysis, precision medicine, healthcare transformation

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare, offering unprecedented advancements in robotics, diagnostic image analysis, and precision medicine. This book, "Advancing Healthcare: The Power of AI in Robotics, Diagnostics, and Precision Medicine," delves into the transformative impact of AI technologies on modern medical practices. In the realm of robotics, AI enhances surgical precision, automates routine tasks, and facilitates complex procedures with minimal invasiveness, improving patient outcomes and reducing recovery times. Diagnostic image analysis, powered by AI, provides faster, more accurate interpretations of medical images, aiding in early disease detection and personalized treatment plans. Precision medicine benefits from AI's ability to analyze vast datasets, identifying patterns and predicting individual responses to therapies, leading to customized healthcare strategies that maximize efficacy and minimize side effects. Despite these advancements, the integration of AI in healthcare faces significant challenges. Ethical concerns, data privacy issues, and the need for robust validation of AI algorithms are critical barriers that must be addressed. Additionally, the healthcare workforce requires training to effectively collaborate with AI technologies, ensuring seamless implementation and maximizing benefits. Future trends indicate a continued evolution of AI, with emerging technologies such as quantum computing and advanced machine learning models poised to further enhance healthcare capabilities. This book also provides comprehensive guidelines on the development and implementation of Computer-Aided Diagnosis (CAD) systems, emphasizing the importance of regulatory compliance, user-centric design, and interdisciplinary collaboration. "Advancing Healthcare" serves as a crucial resource for healthcare professionals, researchers, and policymakers, offering insights into the current state of AI in medicine, its potential future developments, and practical guidelines for harnessing its power to improve patient care and healthcare outcomes.

Downloads

Download data is not yet available.

Downloads

Published

2024-06-28

Similar Articles

1-10 of 165

You may also start an advanced similarity search for this article.