Pitfalls of Artificial Intelligence in Medicine.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with challenges. Over-reliance on AI systems can lead to automation bias, necessitating human oversight. Ethical considerations, transparency, and collaboration between healthcare providers and AI developers are crucial. Pursuing ethical frameworks, bias mitigation techniques, and transparency measures is key to advancing AI's role in healthcare while upholding patient safety and quality care.

Authors

  • Bakheet Aldosari
    Department of Health Informatics, College of Public Health & Health Informatics, King Saud Bin Abdul-Aziz University for Health Sciences, Riyadh, Saudi Arabia.
  • Abdullah Alanazi
    Department of Health Informatics, College of Public Health & Health Informatics, King Saud Bin Abdul-Aziz University for Health Sciences, Riyadh, Saudi Arabia.