Darlington Akogo is a global leader in Artificial Intelligence. He’s the Founder and Chief Executive Officer at minoHealth AI Labs; an AI Healthtech company; karaAgro AI; an AI-powered Plant & Pest Disease Detection and Precision Agriculture platform, Runmila AI Institute; an AI and Data Science training institute, and Gudra AI Studio; an organisation broadly exploring AI and Exponential Technologies applied various domains including Transportation, Sanitation and Energy.
He’s the Lead (Topic Driver) for Topic Group on AI for Radiology under the United Nations International Telecommunications Union (ITU) and World Health Organization (WHO) Focus Group on ‘Artificial Intelligence for Health’ (FG-AI4H). At UN FG-AI4H, Akogo leads the development of global regulations and standards for AI in radiology.
He’s the co-chair of the Digital Health & AI Global Health Strategy Group, created by University of Oxford and 13 partners from around the world including minoHealth AI Labs, Robert Koch Institute, Charité – Universitätsmedizin Berlin, London School of Hygiene & Tropical Medicine, Oxford University Clinical Research Unit – OUCRU Vietnam, Financial Times, Technische Universität Berlin, Clinical Information Network – KEMRI / Wellcome Trust Programme, Aga Khan Development Network. He’s also the chair of the Data WP, under the UKRI-funded Digital Diagnostics for Africa network being led by Imperial College London in partnership with minoHealth AI Labs and other organisations. He serves as the Lead (Ghana) for the Lacuna Fund project, Crop Disease & Pest Image Data, by Makerere University and KaraAgro AI, he Nelson-Mandela African Institution of Science and Technology, and Namibia University of Science and Technology, where he leads a team of 40 people across industry, academia and government towards the creation of large robust datasets for computer vision solutions towards early disease and pest detection. In addition to this work, Akogo is also a member of the MIT Tech Review Global Panel.