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Remaining Predictions for the Year Revealed

Remaining Predictions for the Year Revealed

“Outwork your potential, don’t fear failure, and create something timeless.”

                                                                      Kobe Bryant, NBA basketball player
 
The world mourned the loss of star basketball player, Kobe Bryant, whose helicopter crashed near Los Angeles along with 8 others, including his daughter Gianna. He is most famous for his extreme work ethic (his “Mamba Mentality”) as well as his relentless curiosity about everything. We can all aspire to his supreme dedication in our work in AI in medicine and healthcare.
 
As a follow on from my previous newsletter, here are the remaining five of my predictions for this year for AI in medicine and healthcare:

  • There will be less hype about deep learning and its ability to predict with superior results and more focus on patient outcome and behaviour.
  • There will be more application of AI in altered realities of virtual reality, augmented reality, and mixed reality.
     
  • Certain surgical and procedure-based subspecialties will incorporate image interpretation and deep learning more during procedures.
     
  • Important issues in AI in medicine such as bias, inequity, and particularly data privacy will be even more in the forefront.
     
  • Regulatory policies regarding AI technology in medicine and healthcare will start to reflect the exponential rise of AI capabilities.
Anthony Chang

Anthony Chang

After his cardiology training at the Children’s Hospital of Philadelphia with his research interest in mathematics and chaos theory in biomedicine, Dr. Anthony Chang was an attending cardiologist in the cardiovascular intensive care unit of Boston Children’s Hospital and an assistant professor at Harvard Medical School. Throughout his career as a pediatric cardiac intensive care physician, he has been interested in applications of biomedical data to decision-making. He completed his Masters of Science (MS) in Data Science with a sub-specialization in artificial intelligence from Stanford School of Medicine. He is also a computer scientist-in-residence at Chapman University. He is currently the Chief Intelligence and Innovation Officer and Medical Director of the Heart Failure Program at Children’s Hospital of Orange County. He is the founder and medical director of the Medical Intelligence and Innovation Institute (MI3) that is supported by the Sharon Disney Lund Foundation. The institute, founded in 2015, is dedicated to the introduction and implementation of artificial intelligence in medicine and was the first institute of its kind in a hospital. He intends to build a clinician-computer scientist interface with a nascent society (the Medical Intelligence Society) and is the editor-in-chief of Intelligence-based Medicine, the accompanying journal for his book, Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare. He is the organizing chair for Artificial Intelligence in Medicine (AIMed) meetings around the world, the largest and most comprehensive clinician-led meetings that focus on applications of artificial intelligence in medicine and the dean of the nascent American Board of Artificial Intelligence in Medicine (ABAIM).
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