Skip to content
  • About
  • Contact
  • Contribute
  • Book
  • Careers
  • Podcast
  • Recommended
  • Speaking
  • All
  • Physician
  • Practice
  • Policy
  • Finance
  • Conditions
  • .edu
  • Patient
  • Meds
  • Tech
  • Social
  • Video
    • All
    • Physician
    • Practice
    • Policy
    • Finance
    • Conditions
    • .edu
    • Patient
    • Meds
    • Tech
    • Social
    • Video
    • About
    • Contact
    • Contribute
    • Book
    • Careers
    • Podcast
    • Recommended
    • Speaking

How artificial intelligence (AI) is transforming dermatology diagnosis and treatment

Hannah Kopelman, DO, MBA
Tech
July 10, 2023
Share
Tweet
Share

The rise of artificial intelligence (AI) is no less than a modern revolution. As we progress in the digital age, the capabilities of AI continue to expand, facilitating advancements in countless fields. One such field is health care, where AI has the potential to significantly enhance diagnostic accuracy and treatment efficiency. A shining example of this is the utilization of large language models, such as OpenAI’s Generative Pre-trained Transformer (GPT), the latest iteration being ChatGPT-4, and BERT-based models like BARD.

These AI models are becoming increasingly adept at generating text that closely mimics human-like responses. Trained on extensive datasets, they can grasp the subtleties of human language, offering nuanced, insightful, and coherent responses. But how do these AI tools translate to a specialized field like dermatology, which requires a comprehensive understanding of skin conditions and diseases? Could these AI models provide reliable solutions to dermatological concerns and even assist in clinical decision-making?

ChatGPT-4, BARD, and dermatology

The potential application of AI models like GPT-4 and BARD in dermatology is fascinating. Initial analyses hint at these AI models’ ability to offer accurate, informed responses to a majority of dermatological questions. While the current capabilities of these AI models do not yet extend to visually differentiating skin conditions that appear similar, they show immense promise in various other aspects of dermatology.

A particularly exciting possibility is their potential use in primary care. For example, ChatGPT-4 or BARD could be used as a triage service, where primary care physicians share their observations and symptoms with the AI. The AI could then assist in understanding potential diagnoses, providing initial treatment suggestions, and identifying cases that require immediate referral to a specialist.

In rural or remote areas with limited access to dermatologists, these AI models could prove instrumental. They could allow more cases to be addressed efficiently and improve early diagnosis and treatment of skin conditions. The possibility of creating such new tools for dermatologists and general physicians could change the face of dermatology and contribute to better patient outcomes.

The challenges ahead

Despite these exciting possibilities, the application of AI in dermatology presents several challenges. One key challenge is ensuring clear and accurate communication with AI models. The output of AI models like ChatGPT-4 or BARD heavily depends on the quality and clarity of the input they receive. Any ambiguity or vagueness could lead to less accurate outputs.

Moreover, while these AI models have been trained on a broad range of data, they lack access to ongoing medical research beyond their last training cut-off. This limitation underscores the need for continuous training updates to keep AI models abreast of the latest medical knowledge.

The future of AI in dermatology

The implications of AI models like ChatGPT-4 and BARD in dermatology are significant. These tools have demonstrated their ability to offer reliable responses to dermatological questions, indicating their potential as valuable clinical decision-support tools. However, it’s important to remember that while these AI models can aid in clinical decision-making, they cannot replace the nuanced judgment and experience of health care professionals.

The potential of AI in health care is immense, but careful and thoughtful implementation is crucial. Continuous evaluation of AI’s strengths, limitations, and ethical considerations will be key to maximizing its benefits, such as enhanced efficiency and accessibility, while minimizing potential risks.

As we look ahead, it’s clear that ChatGPT-4, BARD, and other large language models have an exciting role to play in the development of new dermatological tools. The potential to improve the speed and accuracy of diagnoses, enable earlier intervention, and transform the delivery of care is significant. The future is undoubtedly promising, but careful navigation is necessary to ensure these AI tools deliver on their full potential without compromising patient safety and care.

Hannah Kopelman is a dermatologist.

ADVERTISEMENT

Prev

Modern medicine is disappointing to many of us at the later end of our careers

July 10, 2023 Kevin 5
…
Next

Uncovering the truth about genetic mutations and weight loss

July 10, 2023 Kevin 0
…

Tagged as: Dermatology

Post navigation

< Previous Post
Modern medicine is disappointing to many of us at the later end of our careers
Next Post >
Uncovering the truth about genetic mutations and weight loss

ADVERTISEMENT

ADVERTISEMENT

ADVERTISEMENT

More by Hannah Kopelman, DO, MBA

  • Navigating the rising challenges of dermatology residency applications

    Hannah Kopelman, DO, MBA
  • Disparities in DO vs. MD applicants to subspecialties: Identifying challenges and bridging the gap

    Hannah Kopelman, DO, MBA
  • Dermatology at a crossroads: an urgent case for value-based care

    Hannah Kopelman, DO, MBA

Related Posts

  • The evolution of medical training in dermatology and the impact of technology

    Peter Lio, MD
  • How to match into dermatology: A medical student shares her success story

    Jenny Wang
  • More than skin deep: the importance of culturally competent care in medical education

    Grace Shadid
  • Cancer of the future: diagnosis, treatment, and impact on the health care system and patients

    Eugene Chan, MD
  • Stop stigmatizing medication-assisted treatment

    Brandon Jacobi
  • Don’t blame Big Pharma for insulin’s problems

    Rushi Nagalla

More in Tech

  • Why interoperability is key to achieving the quintuple aim in health care

    Steven Lane, MD
  • How Mark Twain would dismantle today’s flawed medical AI

    Neil Baum, MD and Mark Ibsen, MD
  • 9 domains that will define the future of medical education

    Harvey Castro, MD, MBA
  • Key strategies for smooth EHR transitions in health care

    Sandra Johnson
  • Why flashy AI tools won’t fix health care without real infrastructure

    David Carmouche, MD
  • Why innovation in health care starts with bold thinking

    Miguel Villagra, MD
  • Most Popular

  • Past Week

    • Why removing fluoride from water is a public health disaster

      Steven J. Katz, DDS | Conditions
    • When did we start treating our lives like trauma?

      Maureen Gibbons, MD | Physician
    • Why male fertility needs to be part of every health conversation

      Hoag Memorial Hospital Presbyterian | Conditions
    • How home-based AI can reduce health inequities in underserved communities [PODCAST]

      The Podcast by KevinMD | Podcast
    • Inside human trafficking: a guide to recognizing and preventing it [PODCAST]

      The Podcast by KevinMD | Podcast
    • Graduating from medical school without family: a story of strength and survival

      Anonymous | Education
  • Past 6 Months

    • Why tracking cognitive load could save doctors and patients

      Hiba Fatima Hamid | Education
    • What the world must learn from the life and death of Hind Rajab

      Saba Qaiser, RN | Conditions
    • The silent toll of ICE raids on U.S. patient care

      Carlin Lockwood | Policy
    • My journey from misdiagnosis to living fully with APBD

      Jeff Cooper | Conditions
    • Addressing the physician shortage: How AI can help, not replace

      Amelia Mercado | Tech
    • Why does rifaximin cost 95 percent more in the U.S. than in Asia?

      Jai Kumar, MD, Brian Nohomovich, DO, PhD and Leonid Shamban, DO | Meds
  • Recent Posts

    • How home-based AI can reduce health inequities in underserved communities [PODCAST]

      The Podcast by KevinMD | Podcast
    • Adriana Smith’s story: a medical tragedy under heartbeat laws

      Nicole M. King, MD | Physician
    • What if medicine had an exit interview?

      Lynn McComas, DNP, ANP-C | Conditions
    • Why U.S. health care pricing is so confusing—and how to fix it

      Ashish Mandavia, MD | Physician
    • From survival to sovereignty: What 35 years in the ER taught me about identity, mortality, and redemption

      Kenneth Ro, MD | Physician
    • When doctors forget how to examine: the danger of lost clinical skills

      Mike Stillman, MD | Physician

Subscribe to KevinMD and never miss a story!

Get free updates delivered free to your inbox.


Find jobs at
Careers by KevinMD.com

Search thousands of physician, PA, NP, and CRNA jobs now.

Learn more

Leave a Comment

Founded in 2004 by Kevin Pho, MD, KevinMD.com is the web’s leading platform where physicians, advanced practitioners, nurses, medical students, and patients share their insight and tell their stories.

Social

  • Like on Facebook
  • Follow on Twitter
  • Connect on Linkedin
  • Subscribe on Youtube
  • Instagram

ADVERTISEMENT

ADVERTISEMENT

ADVERTISEMENT

ADVERTISEMENT

  • Most Popular

  • Past Week

    • Why removing fluoride from water is a public health disaster

      Steven J. Katz, DDS | Conditions
    • When did we start treating our lives like trauma?

      Maureen Gibbons, MD | Physician
    • Why male fertility needs to be part of every health conversation

      Hoag Memorial Hospital Presbyterian | Conditions
    • How home-based AI can reduce health inequities in underserved communities [PODCAST]

      The Podcast by KevinMD | Podcast
    • Inside human trafficking: a guide to recognizing and preventing it [PODCAST]

      The Podcast by KevinMD | Podcast
    • Graduating from medical school without family: a story of strength and survival

      Anonymous | Education
  • Past 6 Months

    • Why tracking cognitive load could save doctors and patients

      Hiba Fatima Hamid | Education
    • What the world must learn from the life and death of Hind Rajab

      Saba Qaiser, RN | Conditions
    • The silent toll of ICE raids on U.S. patient care

      Carlin Lockwood | Policy
    • My journey from misdiagnosis to living fully with APBD

      Jeff Cooper | Conditions
    • Addressing the physician shortage: How AI can help, not replace

      Amelia Mercado | Tech
    • Why does rifaximin cost 95 percent more in the U.S. than in Asia?

      Jai Kumar, MD, Brian Nohomovich, DO, PhD and Leonid Shamban, DO | Meds
  • Recent Posts

    • How home-based AI can reduce health inequities in underserved communities [PODCAST]

      The Podcast by KevinMD | Podcast
    • Adriana Smith’s story: a medical tragedy under heartbeat laws

      Nicole M. King, MD | Physician
    • What if medicine had an exit interview?

      Lynn McComas, DNP, ANP-C | Conditions
    • Why U.S. health care pricing is so confusing—and how to fix it

      Ashish Mandavia, MD | Physician
    • From survival to sovereignty: What 35 years in the ER taught me about identity, mortality, and redemption

      Kenneth Ro, MD | Physician
    • When doctors forget how to examine: the danger of lost clinical skills

      Mike Stillman, MD | Physician

MedPage Today Professional

An Everyday Health Property Medpage Today
  • Terms of Use | Disclaimer
  • Privacy Policy
  • DMCA Policy
All Content © KevinMD, LLC
Site by Outthink Group

Leave a Comment

Comments are moderated before they are published. Please read the comment policy.

Loading Comments...