Dr. Eric Topol: 10 potential AI applications for clinicians, hospitals

Eric Topol, MD, digital health expert and director of the Scripps Research Translational Institute in La Jolla, Calif., published an evidence-based review of potential applications for artificial intelligence in healthcare in Nature Medicine Jan. 7.

"The excitement that lies ahead, albeit much further along than many have forecasted, is for software that will ingest and meaningfully process massive sets of data quickly, accurately and inexpensively, and for machines that will see and do things that are not humanly possible," he wrote.

"This capability will ultimately lay the foundation for high-performance medicine, which is truly data-driven, decompressing our reliance on human resources, and will eventually take us well beyond the sum of the parts of human and machine intelligence."

The review covers potential opportunities and limitations — such as bias and privacy — associated with commonly discussed AI applications, which Dr. Topol categorized based on their use by hospitals, clinicians or patients.

Ten clinician and hospital applications outlined in Dr. Topol's evidence review:

AI for clinicians

  • Radiology
  • Pathology
  • Dermatology
  • Ophthalmology
  • Cardiology
  • Gastroenterology
  • Mental health

AI for health systems

  • Machine vision
  • Wearables
  • Increased efficiencies

To read Dr. Topol's article in Nature Medicine, click here.

More articles on artificial intelligence:
Facebook backs AI ethics institute with $7.5M
3M, M*Modal customers relatively favorable toward acquisition deal, survey finds
6 clinical quality, safety issues to consider before deploying AI in the hospital

© Copyright ASC COMMUNICATIONS 2020. Interested in LINKING to or REPRINTING this content? View our policies by clicking here.