Artificial Intelligence (AI), now gaining attention, has evolved over 75 years, yet many still struggle to grasp its implications, particularly in healthcare. The World Economic Forum urges faster AI adoption in medical fields, yet barriers like regulatory fragmentation and complexity slow progress. Recent publications emphasize AI’s vital role in diagnostics and basic research, surpassing previous technologies. Notable advancements include AI diagnosing bacterial infections and enhancing medical imaging. Companies like ACL Digital and AIdoc exemplify successful AI applications, whereas others like IBM’s Watson for Oncology faced challenges. AI also excels in epidemiological surveillance, leveraging vast data to predict disease outbreaks and manage resources effectively. The rise in AI-related publications indicates burgeoning interest in its potential, especially in combating neglected tropical diseases, and fostering a One Health approach. As healthcare integrates AI deeper, innovations promise to transform clinical practices and research outcomes, essential for future health advancements.
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