Artificial intelligence in melanoma diagnosis: Three scenarios, shifts in competencies, need for regulation, and reconciling dissent between humans and AI

Artificial intelligence in melanoma diagnosis: Three scenarios, shifts in competencies, need for regulation, and reconciling dissent between humans and AI

Blog Article

Tools based on machine learning (so-called artificial intelligence, AI) are increasingly being developed promotional-material to diagnose malignant melanoma in dermatology.This contribution discusses (1) three scenarios for the use of AI in different medical settings, (2) shifts in competencies from dermatologists to non-specialists and empowered patients, (3) regulatory frameworks to ensure safety and effectiveness and their consequences for AI tools, and (4) cognitive dissonance and potential delegation of human decision-making to AI.We conclude that AI systems should not replace human medical expertise but play a supporting role.We identify needs for regulation and provide recommendations for action to help all (human) 5.60/5RRR actors navigate safely through the choppy waters of this emerging market.Potential dilemmas arise when AI tools provide diagnoses that conflict with human medical expertise.

Reconciling these conflicts will be a major challenge.