Ocular
@Ocular_Project
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Pioneering accessible and efficient disease diagnosis through cutting edge AI-powered mobile microscopy.
Joined November 2023
Traditional expert smear examinations take around 15 minute to yield reliable results Our AI-based decision support tool promises to reduce this to just 2-3 minutes—cutting the time required by at least 25%. This frees up time for lab techs to process more samples.
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Celebrating #WorldCancerDay. We're tackling cervical cancer in Uganda, a leading cause of death among women. We're leveraging computer vision to improve diagnosis, especially in rural areas with limited screening services. #AIForGlobalGoals
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Uganda has a high TB burden & relies on traditional smear microscopy for diagnosis. Ocular is improving TB detection by integrating AI into this process. Our AI-powered solution analyzes smears, identifying Mycobacterium tuberculosis more efficiently. #AIforGlobalGoals
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We held a TB image capture training to equip lab techs with imaging skills for automated diagnosis. Participants learned proper slide prep, lighting, & magnification. High-quality images are crucial for training our mobile microscopy models to represent the people we serve.
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RT @AI_HealthLabMak: #FBF to the inaugural AI in Health Africa Conference! A huge thank you to our incredible host partners, funders, and…
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RT @SabrinaKitaka: The Principal of @MakCoCIS Prof Oyana giving an inspiring speech on the importance of education;futuristic ideas and d…
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RT @SabrinaKitaka: Attending the AI in Health Africa Conference,the Conference Chair Rose Nakasi,PhD from @MakCoCIS emphasizes the importan…
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RT @AI_HealthLabMak: 📷PICTURE MOMENT Some snippets from our inaugural #AIinHealthAfrica conference. 🔗- #AIfroGlob…
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RT @AI_HealthLabMak: The Permanent Secretary of the @MoICT_Ug shared valuable insights on attracting institutional support to scale AI inno…
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RT @SunbirdAI: Great to see our Directors, @iBaino and @emwebaze, representing us at the #AIinHealthAfrica conference. They participated i…
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RT @AI_HealthLabMak: Addressing Africa's Healthcare Challenges with AI Our first panel at #AIinHealthAfrica delved into the power of AI to…
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Great start to #AIinHealthAfrica! Our technical lead, @snsumba, shared the incredible journey of Ocular over the past year. He highlighted our progress in enhancing the accuracy of our AI models for malaria, cervical cancer & TB diagnosis, especially in real-world settings.
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Tomorrow's the big day! We're excited to be part of the #AIinHealthAfrica Conference. Our team will be sharing how we've used AI to support lab technicians in disease diagnosis decisions Almost a year on, we we can't wait to show you what we've achieved. #AIforGlobalGoals
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Be sure to pass by our stall at the #ICTJobFair2024 to learn about our work supporting lab technicians with a decision support tool that leverages computer vision to automate disease diagnosis for malaria, TB and cervical cancer. #AIForGlobalGoals
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RT @AI_HealthLabMak: Thrilled to have @MoICT_Ug as a partner for the #AIinAfricanHealth conference. We'll discuss the importance of buildi…
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RT @AI_HealthLabMak: Collecting representative datasets is crucial for developing AI solutions that serve our specific needs. At the #AIin…
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RT @AI_HealthLabMak: Collaboration is key. At the AI in Health Africa Conference, we'll discuss how to engage end-users when developing AI…
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Glad to have been featured in @Nature’s article on how AI is transforming Africa's healthcare landscape. The article highlights innovative projects using AI to deliver affordable and context-specific healthcare solutions. #AIforGlobalGoals 🔗-
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