Challenges of Artificial Intelligence in Medicine and Dermatology

Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bias, transparency, ethics, security, and inequality. Bias in AI algorithms can arise from biased training data or decision-making processes, leading to disparities in healthcare outcomes. Addressing bias requires carefully examining the data used to train AI models and implementing strategies to mitigate bias during algorithm development. Transparency is another critical challenge, as AI systems often operate as black boxes, making it difficult to understand how decisions are reached.
Source: Clinics in Dermatology - Category: Dermatology Authors: Source Type: research