Developing accessible and efficient disease diagnosis and surveillance tools for low-resource contexts. @AI_HealthLabMak flagship projectocular-project.comJoined November 2023
In many rural clinics, one lab tech may serve dozens of patients, with each test taking 20–30 mins.
Ocular AI cuts this to 5–8 mins, works online & offline, and serves as a second opinion streamlining workflows & improving care where it’s needed most.
🔗 ocular-project.com/about
Our team had the privilege of presenting the AI teaching aid to lab techs from the Departments of Medicine and Pediatrics at Mulago Referral Hospital last week.
This AI-driven disease diagnosis tool is designed to standardize teaching methodologies.
#AIForGlobalGoals
Meet @MarkhBalam, a second-year computer science student, was selected for the @AI_HealthLabMak Internship Program.
During his internship, Mr. @MarkhBalam contributed to the development of predictive models for tuberculosis and participated in the integration of data from…
True innovation happens when tech meets the realities of care.
With support from local & regional partners, our AI diagnostic tool is shaped by real-world use tested in high-volume clinics, refined by lab tech feedback, and built to fit the context.
📎-ocular-project.com/about…
Happy to have joined @ICTAUg’s Annual Summit
Our lab lead, Dr. @RoseNakasikiire, joined the Health Tech panel to discuss the importance of cross-sector collaboration in building locally relevant datasets and policies to advance responsible AI in Uganda’s health sector.
We also…
The Ministry of Youth, Sports and Arts - Buganda, led by Chairperson Owek.
Robert Serwanga, accompanied by Youth Council representatives from all 18 counties, led by Chairperson Owek. Derrick Kavuma, visited our AI Health lab.
We had a forward-looking discussion on how…
Meet @DeniseMuwa16902 , one of four students selected for the Makerere AI Health Lab Internship Program.
Denise Priscila Muwanguzi shares her reflections and key takeaways from the program, highlighting the importance of introducing machine learning to improve healthcare…
One of the key challenges in developing AI for healthcare in Africa?
Access to contextually relevant data.
At @AI_HealthLabMak, we’re addressing this head-on. We collect our own data and train local annotators to ensure our diagnostic tool truly serves the demographic it’s…
Call for Abstracts: AI in Health Africa Conference 2025.
Hosted by Makerere AI Health Lab, Infectious Diseases Institute (IDI) and Health AI for All Network
Under the Theme:
* AI Policy, Governance & Ethics
* Localization of AI Solutions
* AI Capacity Building
* AI Integration…
Join our friends at @AI_HealthLabMak for an insightful conversation on aligning AI innovations with Africa's rich traditional health knowledge.
We're excited to attend & engage as we build momentum towards the upcoming AI in Health Africa Conference.
us06web.zoom.us/meeting/regist…
Reminder: AI in Health Africa Pre-Conference Webinar
Don't miss this insightful discussion on AI
Topic: Ethically Co-Designing AI Tools with African Indigenous Health Systems.
Explore how AI can uplift Africa's healing traditions and community-based care.
📅 Date: July 10th
🕙…
Our Lab Lead Dr @RoseNakasikiire will be speaking at the 2nd Edition of ICT National Summit 2025 hosted by @ICTAUg.
Under the theme “Harnessing Digital Innovation for Sustainable Economic Growth,” this two-day event will bring together government officials, policymakers,…
Happy to have hosted the Global Health Lab team at Makerere AI Health Lab.
We had a productive session discussing the progress on our flagship Ocular diagnostic tool to revolutionize disease surveillance and serve as an innovative teaching aid in healthcare settings.
Our…
Join us for our AI in Health Africa Pre-Conference Webinar
Topic: Ethically Co-Designing AI Tools with African Indigenous Health Systems
As AI increasingly shapes the future of healthcare, how can we ensure it uplifts Africa’s rich traditions of healing and community-based…
Our app is built for both online & offline use especially for areas with limited internet & overstretched lab staff. It cuts diagnosis time from 30 to just 5–8 mins, serving as a “second opinion” to support faster, better care.
🔗 ocular-project.com/about#AIForGlobalGoals
🌐 The Africa Health ExCon 2025 (@Africahealthex1) is happening next week from 24–27 June in Cairo!
Which innovation do you believe will have the biggest impact on Africa’s health future in the next 5 years?
Take the poll and learn more about the event: ow.ly/K46750W9xMZ…
In her latest research, Grancia Mugalula highlights AI as key to achieving Universal Health Coverage in Uganda tackling gaps like rural access.
She cites our work as a promising example of AI's impact. Proud to be part of this journey
🔗-equityhealthj.biomedcentral.com/articles/10.11…
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