Professor Eliza Konofagou of Columbia University discusses the potential and limitations of artificial intelligence (AI) in medical imaging. She emphasizes that AI must demonstrate superior accuracy compared to human specialists to be truly valuable in healthcare. Konofagou also highlighted the issue of algorithmic bias, a critical concern in AI applications, and the necessity for careful evaluation. Furthermore, she points to a significant gap in research specifically addressing women’s health within the broader field of medical AI. Her insights underscore the need for cautious optimism and rigorous validation as AI becomes increasingly integrated into medical diagnostics and treatment. The development of equitable and effective AI solutions requires addressing these challenges proactively.