This seminar on Artificial Intelligence in Dermatology was held on February 2021 by the IADVL*. There are three presentations (see below for links).
Application of AI in Dermatology by Prof Somesh GUPTA – All India Institute of Medical Sciences (AIIMS) in New Delhi, India [LINK to presentation]
- The impact of AI is more profound than electricity and fire.
- In a survey 35years old seems to be the cutting point between a positive and negative view of AI….it’s not what you think !
- Learning points:
- Human vs machine reasoning. What applies to a doctor making a diagnosis ?
- Resistance from many in the medical community
- AI plays a role where pattern recognition is important: which specialties does this apply
- Presentation of the publication in JEADV published in Feb 2021 Pangti R el al. A machine learning-based, decision support, mobile phone based application for diagnosis of common dermatological diseases.
- Causes of poorer performance
- Accurate very well in skin cancer, but not yet well in inflammatory dermatology.
- Very accurate when the top 3 differential diagnosis’s added and not just the top diagnosis.
- Publications comments:
- BCC diagnosis machine-learning vs dermatologists & non dermatologists
- Covid19 recognition of skin rashes using ML
- Review of literature
Artificial Intelligence for the Medical Professional by Mr KUMAR Sharad – New Delhi, India [LINK to presentation]
- Learning points:
- Which medical specialties publish the most ?
- Regulation for AI in Health (Diagnosis, Validation, what is a device) ?
- New AI in Health tools validates by the FDA
- The hype cycle of digital health
- How to validate an AI solution into healthcare (validate in silico – validation in the real world and implementation in healthcare)
- Algorithmic bias and data biases
- Technology advances: taking an example from cars
- The model developed and how it learns and improves from an engineers perspective.
- Practical solutions
AI friend or foe by Dr Venkataram Mysore – ILDS** in Bangalore, India [LINK to presentation]
- Learning points:
- AI is everywhere an dermatology is no exception: list of changes
- Advantages of AI
- Lancet: the fate of medicine in the time of AI: what does it mean to be a doctor. When will it become so powerful. Is it that predictable ?
- Progress of AI in Health: where we are and where do we hope to be ?
- Role of clinicians and data scientists in the development of solutions using AI
- Uses in Dermatology, dermoscopy, dermatopathology
- Apps for consumers
- Apps for diagnostic aids
- Apps for treatment settings for lasers for example, surgery, hair transplantation, injection of fillers.
- Diagnosis: VisualDx
- Fear and Pessimistic views. Are these true ?
*IADVL: Indian Association of Dermatologists and Venerologists
**ILDS: International League of Dermatological Societies
