Link to presentation: Click Here
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
Presented by by Prof Somesh GUPTA seminar on Artificial Intelligence in Dermatology was held on February 2021 by the IADVL*
