Show 1434: Digital Doctoring: Will AI Save Lives or Cause Medical Mayhem?

ChIn this episode, Joe & Terry speak with two physicians who have examined ways that artificial intelligence might contribute to patient care. Can AI help with better diagnoses? Is robotic surgery better? Could AI save lives or is it more likely to cause trouble?

Digital Doctoring:

We begin our conversation with Dr. Jonathan Chen, who has found that chatting with a robot made him a better doctor. (He challenged ChatGPT with an ethically difficult conversation and was surprised at the sensitivity of the observations it offered.) When researchers studied diagnostic acumen pitting human doctors against AI, the results were surprising. Some doctors did the diagnosis without help, while others used ChatGPT-4 to help them. The investigators also had the AI do the diagnosis unaided (or unhindered) by humans. Doctors got a score of 74 percent on their own and 76 percent when using AI. But ChatGPT by itself scored 90 percent. (JAMA Network Open, Oct. 28, 2024). AI is certainly not perfect, and there are times when it is not the appropriate tool to use. But results like this suggest that we should be learning more about when it might be an indispensable technology for improving patient care. After all, human doctors are not perfect, either.

Paging Doctor Google:

Health care professionals are not the only ones who are putting artificial intelligence to use in health care settings. Many physicians dread the patient who arrives with a large stack of papers printed off the internet. Our guests suggest that doctors should welcome these patients and collaborate with them. Pointing them to more reliable sites and better search strategies, if the healthcare provider is able to do so, could yield better results overall. Who is more motivated to spend time researching the details of an unusual syndrome or its treatment? It may well be the patient.

There are, of course, some cautions that people should keep in mind. One is privacy. You may not want to disclose your medical history to the internet at large. Most sites are not constrained by HIPAA, which protects patient privacy in medical settings. Another consideration is the reliability of the information you find. Robots are designed to produce answers that will please the humans asking the questions. That might mean that they make things up. If the question is how to connect your camera to your computer, an invented (“hallucinated”) answer is inconvenient. When it concerns your health, a fabricated answer could be dangerous.

Could AI Save Lives in Dermatology?

Our second guest, Dr. Art Papier, has been involved in developing large libraries of images of skin problems. With artificial intelligence powering it, VisualDx helps doctors recognize dermatological problems such as skin cancers.

He describes one situation in which misdiagnosis is common and can cause harm. Cellulitis is a dangerous inflammation due to bacterial infection that can lead to sepsis. Red skin can be a signal of cellulitis, but sometimes it is caused by other problems. Misdiagnosis can lead to hospitalization and inappropriate antibiotics being administered. Utilizing a clinical decision tool like VisualDx reduced unnecessary hospital admission and antibiotic use (Journal of the American College of Emergency Physicians Open, June 8, 2023).

Another strength of the system Dr. Papier has helped build is that it offers doctors views of atypical presentations of common problems. Hopefully, this keeps them from focusing on a single feature of an illness, such as a bulls-eye rash, as the only defining characteristic. The builders of VisualDx have deliberately included many images of skin of many different shades, as rashes sometimes look different depending upon the background coloration.

Both our guests emphasize that AI is a tool. To get the best results, it must be used intelligently, not indiscriminately.

This Week's Guests:

Jonathan Chen, MD, PhD, assistant professor of medicine at Stanford Medicine, works at the intersection of artificial intelligence and medicine in the hopes that combining human knowledge with AI will deliver better care than either can alone. His expertise lies in developing innovative AI-driven solutions that enhance diagnostic accuracy, treatment efficiency, and patient outcomes. Dr. Chen focuses on integrating machine learning algorithms and predictive modeling into clinical practice, revolutionizing the way healthcare is delivered. His goal is to use real-world clinical data, such as electronic medical records, with machine learning and data analytics to reveal new clinical insights that will inform patient care.

[caption id="attachment_135605" align="alignnone" width="768"] Jonathan Chen, MD, PhD, Stanford Medicine[/caption]

Art Papier, MD, is a dermatologist and medical informatics expert and the co-founder and CEO of VisualDx. He has led the development of VisualDx, a professional, point of care decision support system as well as Aysa, a freely available consumer and patient facing AI app for dermatology (www.askaysa.com). A thought leader in clinical informatics, Dr. Papier maintains the overall vision for the company with a keen focus on product integration and impacting costs in healthcare through clinical accuracy.
https://www.visualdx.com/blog/our-team/art-papier/

[caption id="attachment_135606" align="alignnone" width="667"] Dr. Art Papier is founder & CEO of VisualDx[/caption]