Artificial Intelligence in Dermatology: Current Uses, Shortfalls, and Potential Opportunities for Further Implementation in Diagnostics and Care

Sanjay Satya-Akunuri Koka1, 2, *, Craig G. Burkhart3, 4
1 Department of Medicine, Division of Dermatology, University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
2 Department of Precision Medicine, Precision Pundits, Northville, MI, USA
3 Department of Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
4 Department of Medicine, Ohio University of Osteopathic Medicine, Athens, OH, USA

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Creative Commons License
© 2023 Koka and Burkhart

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Medicine, Division of Dermatology, University of Toledo College of Medicine and Life Sciences, Toledo 4720 Glendale Avenue, APT 301, Toledo, OH 43614, USA; E-mail:


Artificial Intelligence (AI) has the potential to transform medical delivery by improving patient care and provider experience. Implementing AI into health care is limited in scale, but the projected demand for health care, combined with the shortfall in practitioners, will necessitate the inclusion of AI-based technology in clinical medicine to maintain quality care. AI applications may range from enhancing clinical diagnosis to managing population health through big data. In today’s world, AI scaling in health care is at phase one: AI is either utilized for administrative tasks or imaging. Although the implementation of AI will be difficult, the need for the adoption of AI in the coming years will lead the technology to be a vital aspect of diagnosis and care in and out of the hospital. Dermatology is one medical specialty in which AI applications are in use and in which medical care will evolve. Dermatology has progressed over the years in correspondence with advancements in AI-based technologies such as imaging and medical speech recognition. To better equip future dermatologists, exposure to AI through medical education is necessary for dermatologists to utilize AI effectively. There are hurdles to overcome, but AI is necessary, and it will change health care through effective time management and clinical decision-making. This review, created in collaboration with Precision Pundits, was developed to achieve an understanding of AI in the present-day medical landscape; this project explored the impact AI technology has on dermatology and medical care.

Keywords: Dermatology, BMI, AI, Disease, Healthcare services, Diagnostics.