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William Wasswa
Mbarara University of Science and Technology, Mbarara University of Science and Technology Faculty of Applied Sciences and Technology, University of Cape Town Department of Medicine
Research areas: Computer Science · Artificial Intelligence · Artificial Intelligence in Healthcare and Education · Artificial Intelligence in Healthcare · AI in cancer detection
0000-0002-0202-1230
Employment
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Mbarara University of Science and Technology Senior Lecturer2013 - Present
Education
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Mbarara University of Science and Technology Faculty of Applied Sciences and Technology PhD (Biomedical Engineering)2016 - 2018
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University of Cape Town Department of Medicine MMed.Sci.Biomedical Engineering2015 - 2016
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Mbarara University of Science and Technology Institute of Computer Science BSc.Computer Engineering2009 - 2014
Projects & Funding
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Unpacking Design Thinking Principles through Biomedical Engineering Student’s Innovation Cafes Wellcome Trust2019 - 2020
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Automated Diagnosis of Cervical cancer from pap-smear images Commonwealth Scholarship Commission
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Integrating Biomedical Engineering into Pediatric Nursing ICATCH
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PapsAI USAID, RAN Innovation Scaling Program (RISP)
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PapsAI Royal Academy of Engineering
Publications (25)
- The CAM-CAI-RCHE Model: An Adoption Model for Conversational AI in Career Guidance for Resource-Constrained Higher Education Settings Save
- Towards the Application of an NLP-driven Conversational Model for Efficient and Affective Career Guidance for Students: A Scoping Review Save
- Medical Ethics of Large Language Models in Medicine Save
- Scaling up delivery of HIV services in Africa through harnessing trends across global emerging innovations Save
- Legacy of COVID-19 Innovations: Strengthening African Primary Health Care through Pandemic Innovations Save
- Unveiling the vision: exploring the potential of image analysis in Africa Save
- Leveraging innovation technologies to respond to malaria: a systematized literature review of emerging technologies. Save
- A Neonatal Sepsis Prediction Algorithm Using Electronic Medical Record (EMR) Data from Mbarara Regional Referral Hospital (MRRH) Save
- Evaluation of screening parameters and machine learning models for the prediction of neonatal sepsis: A systematic review Save
- Critical Bias in Critical Care Devices Save
- Towards a Healthcare Innovation Scaling Framework—The Voice of the Innovator Save
- Moving towards vertically integrated artificial intelligence development Save
- A Neonatal Sepsis Prediction Algorithm Using Electronic Medical Record (EMR) Data from Mbarara Regional Referral Hospital (MRRH) Save
- Evaluation of screening parameters and machine learning models for the prediction of neonatal sepsis: A systematic review Save
- Automated Segmentation of Nucleus and Cytoplasm of Cervical Cells from Pap-smear Images using A Quadtree Decomposition Approach Save
- Let all know: insights from a digital storytelling facilitator training in Uganda Save
- Automated segmentation of nucleus and cytoplasm of cervical cells from pap-smear images using a quadtree decomposition approach Save
- A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images Save
- Automated Diagnosis and Classification of Cervical Cancer from pap-smear Images Save
- Automated Segmentation of Nucleus, Cytoplasm and Background of Cervical Cells from Pap-smear Images using a Trainable Pixel Level Classifier Save