Artificial Intelligence (AI) is transforming global healthcare in unprecedented ways and reshaping how diseases are diagnosed, public health emergencies are managed, and patients receive care, according to AI and cloud infrastructure expert Oluwasanya Ogunsakin.
In a statement made available to journalists, Ogunsakin explained that the adoption of AI technologies is enabling faster medical decision-making, improving clinical outcomes, and supporting more efficient healthcare delivery across both advanced and developing nations.
“AI is being used to analyse vast amounts of medical data, forecast disease outbreaks, and personalise treatment strategies,” he said. “It empowers healthcare professionals and public health agencies to act more quickly and more effectively.”
Ogunsakin noted that the COVID-19 pandemic exposed critical gaps in healthcare infrastructure and demonstrated the urgency of adopting intelligent, data-driven tools. Since then, many governments and institutions have turned to AI-powered platforms to support diagnostics, hospital operations, and the expansion of virtual care.
He emphasized that AI has become a valuable tool in supporting telemedicine, automating diagnostic processes, and assisting mental health interventions, making high-quality care more accessible in both urban and rural settings.
“AI can bridge the healthcare divide by reaching communities that have traditionally been underserved,” Ogunsakin said. “With mobile apps and cloud-based platforms, patients can now receive timely health information, monitor chronic conditions, and get proactive care—even if there’s no hospital nearby.”
In many countries, AI is being used to forecast influenza trends, identify at-risk populations, and support vaccination planning. In others, it’s helping hospitals optimise their resources, predict patient admissions, and manage emergency response more efficiently.
“Machine learning models can spot early signs of disease clusters, identify risk factors from non-traditional data like air quality or social trends, and provide early warnings for health officials,” Ogunsakin explained.
He added that AI is not limited to high-income nations. “Emerging economies are making remarkable use of AI to support overburdened health systems. With the right infrastructure, AI can reduce inefficiencies, augment clinical expertise, and improve outcomes at scale.”
Beyond hospitals, the rise of AI-powered mobile tools is transforming how the general public engages with health information. These tools provide real-time alerts, symptom tracking, preventive guidance, and even mental wellness support.
“Today’s healthcare experience isn’t confined to the hospital bed, it’s in your pocket,” Ogunsakin said. “AI is helping people take control of their health like never before.”
However, he cautioned that while the benefits of AI in healthcare are vast, so are the challenges. Issues such as data privacy, algorithmic bias, and unequal access to technology must be addressed with careful regulation and ethical oversight.
“AI must be explainable, transparent, and used responsibly,” he stressed. “Patient data must be protected, and systems must be designed to serve all populations, not just those with access to the latest devices or fastest internet.”
According to Ogunsakin, collaboration between governments, healthcare providers, and the tech industry is essential to ensure that AI is deployed effectively and equitably.
“There is enormous potential for AI to improve global health, but only if we build the right frameworks to support it,” he said.
As AI continues to evolve, experts say its impact on healthcare will only deepen. From detecting cancer through image analysis to managing health crises with real-time data, the technology is becoming integral to how the world approaches care and prevention.
Ogunsakin concluded: “AI isn’t replacing healthcare professionals—it’s enhancing them. It’s giving them the tools to make faster, better, and more informed decisions. That’s the future of medicine.”
