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

Tools based on machine learning (so-called artificial intelligence, AI) are increasingly being developed 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 Thermos dermatologists to non-specialists and empowered patients, (3)

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Separate and combined associations of physical activity and obesity with lipid-related indices in non-diabetic and diabetic patients

Abstract Background This study evaluated the separate and combined associations of physical activity and obesity with blood Extension Cable lipids in Chinese adults with and without diabetes.Methods Data of 17,535 participants aged 18 to 78 years old were collected.Physical activity was categorized as inactive (low) or active (moderate or high) acc

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