Artificial intelligence integration in healthcare

The integration of artificial intelligence into public health and clinical practice is being explored through various research and professional frameworks.

Initial efforts focus on the broad potential for AI to enhance disease detection, prevention, and interdisciplinary research. In Malawi, professionals are looking at AI to monitor water quality and manage outbreaks of diseases such as cholera and malaria. Meanwhile, in the United States, academic frameworks are being proposed to bridge the gap between public health and computer science to create an “AI-ready workforce.”

Subsequent developments show a shift toward practical clinical applications and professional training. In Puerto Rico, research demonstrated that AI agents can assist in real-time auditing and coding of clinical information to improve the quality of medical histories. Additionally, healthcare seminars in the Dominican Republic have addressed the implementation of AI in diagnostics and decision-making, emphasizing the use of technology as a “responsible support tool” that complements rather than replaces human clinical judgment.

Recent developments in Brazil highlight specific clinical implementations, such as the Santa Joana Group’s introduction of ‘Madrinha Joana,’ an AI designed to assist pregnant women with non-clinical inquiries and medical alerts. This aligns with perspectives from medical professionals like Dr. Eduardo Cordioli, who maintains that AI must function as a support tool rather than a replacement for clinicians.