Antimicrobial resistance (AMR) poses a significant global health challenge, particularly in the Global South, where overburdened health systems frequently resort to antibiotic prescriptions due to limited diagnostics. This reliance on antibiotics stems from structural deficiencies in peripheral health systems, emphasizing the need for urgent intervention at the point of care. Emerging AI-enabled technologies are paving the way for effective AMR management. Innovations such as automated ambient listening, AI-driven cough analysis, and portable imaging tools provide healthcare workers with objective data to differentiate between viral and bacterial infections, thus reducing unnecessary antibiotic use. The integration of these technologies in low- and middle-income countries can revolutionize clinical decision-making, ultimately enhancing antibiotic stewardship and patient care. However, a multi-faceted approach involving regulation, behavioral change, and governance is essential to successfully combat AMR. Leveraging technology can facilitate faster, more equitable healthcare solutions in the ongoing fight against this pressing issue.
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