This claim was made at the third public health grand round table organised by the School of Public Health, Ondo State University of Medical Sciences, Ondo, where medical experts were gathered for deliberations on the future of public health.
At the programme, themed, “Preventing the Next Pandemic: Use of Artificial Intelligence for Epidemic Monitoring and Alerts,” the guest lecturer, Prof Oluwadiya Kehinde, who is a surgeon and information technology guru, said: “AI used machine learning methods can be leveraged upon to prevent the spread of deadly infectious disease outbreak.
“AI helps to process medical data which health care workers can interpret to improve health outcomes. It can be applied to public health in the area of predicting communicable disease outbreak, and the direction that surveillance will take towards disease prevention and control.”
Speaking at the event, the Vice-Chancellor, University of Maiduguri (UNIMED), Prof Adesegun Fatusi described “Artificial Intelligence as a computer- driven modern and innovative method that every health care worker should embrace and learn its operations. AI can pre-scan medical images and flag those of them that are unusual and direct the line of management.”
The Dean of the School of Public Health, Prof Olalekan Adebimpe, observed that “pathogens or microbes are struggling with humans for survival. Part of their strategy is to catch humans unaware, like it did during COVID 19. Artificial intelligence can help to predict future disease outbreaks and position us for efficient epidemic preparedness.”
At the programme, themed, “Preventing the Next Pandemic: Use of Artificial Intelligence for Epidemic Monitoring and Alerts,” the guest lecturer, Prof Oluwadiya Kehinde, who is a surgeon and information technology guru, said: “AI used machine learning methods can be leveraged upon to prevent the spread of deadly infectious disease outbreak.
“AI helps to process medical data which health care workers can interpret to improve health outcomes. It can be applied to public health in the area of predicting communicable disease outbreak, and the direction that surveillance will take towards disease prevention and control.”
Speaking at the event, the Vice-Chancellor, University of Maiduguri (UNIMED), Prof Adesegun Fatusi described “Artificial Intelligence as a computer- driven modern and innovative method that every health care worker should embrace and learn its operations. AI can pre-scan medical images and flag those of them that are unusual and direct the line of management.”
The Dean of the School of Public Health, Prof Olalekan Adebimpe, observed that “pathogens or microbes are struggling with humans for survival. Part of their strategy is to catch humans unaware, like it did during COVID 19. Artificial intelligence can help to predict future disease outbreaks and position us for efficient epidemic preparedness.”
Website: International Research Awards on Computer Vision
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