Inconsistent power supply, unstable internet access impede AI deployment in rural health facilities

Inconsistent power supply and unstable internet connectivity are hindering the effective deployment of Artificial Intelligence (AI) in rural healthcare facilities, according to Professor Jerry John Kponyo, Principal Investigator of the Responsible Artificial Intelligence Lab (RAIL) at Kwame Nkrumah University of Science and Technology (KNUST).

During a presentation at the International Conference on AI in Healthcare and Pharmacy in Ho, Volta Region, Prof. Kponyo highlighted several challenges to the integration of AI into Ghana's healthcare system. He identified algorithmic bias as a significant barrier, noting that many diagnostic tools have been trained on foreign datasets, which fail to account for the unique genetic markers and lifestyle factors of local populations.

Trust and adoption issues were also cited, with cultural resistance, fears of workforce displacement, and the use of opaque AI tools posing challenges. Prof. Kponyo further emphasized the importance of addressing data fragmentation and security concerns, including non-standardized records, interoperability issues, and gaps in patient data privacy.

Responsible AI, he explained, refers to smart tools that support medical decision-making safely, fairly, and transparently, while respecting human dignity. The expert stressed that AI tools should assist doctors rather than function as "black boxes", as biased or unclear systems could lead to dangerous medical errors and jeopardize patient safety.

Prof. Kponyo stressed the necessity of effective governance to ensure equitable access to high-quality healthcare for all citizens, regardless of their location. He stressed the need for clear clinical rules, explainable models to enhance transparency, rigorous real-world testing, and robust security measures to safeguard patient data.