| Learning to make rare and complex diagnoses with generative AI assistance: qualitative study of popular large language models T Abdullahi, R Singh, C Eickhoff JMIR Medical Education 10 (1), e51391, 2024 | 32 | 2024 |
| Predicting diarrhoea outbreaks with climate change T Abdullahi, G Nitschke, N Sweijd Plos one 17 (4), e0262008, 2022 | 12 | 2022 |
| Predicting disease outbreaks with climate data T Abdullahi, G Nitschke 2021 IEEE congress on evolutionary computation (CEC), 989-996, 2021 | 8 | 2021 |
| Retrieval augmented zero-shot text classification T Abdullahi, R Singh, C Eickhoff Proceedings of the 2024 ACM SIGIR international conference on theory of …, 2024 | 7 | 2024 |
| Retrieval-Based Diagnostic Decision Support: Mixed Methods Study T Abdullahi, L Mercurio, R Singh, C Eickhoff JMIR Medical Informatics 12, e50209, 2024 | 3* | 2024 |
| Disease outbreaks: tuning predictive machine learning T Abdullahi, G Nitschke Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 1 | 2021 |
| AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset T Olatunji, C Nimo, A Owodunni, T Abdullahi, E Ayodele, M Sanni, C Aka, ... arXiv preprint arXiv:2411.15640, 2024 | | 2024 |
Geoff NitschkeAssociate Professor, University of Cape TownVerified email at cs.uct.ac.za