| Modeling predictors of acceptance and use of electronic medical record system in a resource limited setting: Using modified UTAUT model KB Shiferaw, EA Mehari Informatics in Medicine Unlocked 17, 100182, 2019 | 163 | 2019 |
| Knowledge and attitude of health professionals toward telemedicine in resource‐limited settings: a cross‐sectional study in North West Ethiopia K Biruk, E Abetu Journal of healthcare engineering 2018 (1), 2389268, 2018 | 139 | 2018 |
| Healthcare providers’ acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model KB Shiferaw, SA Mengiste, MK Gullslett, AA Zeleke, B Tilahun, T Tebeje, ... Plos one 16 (4), e0250220, 2021 | 138 | 2021 |
| E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey KB Shiferaw, BC Tilahun, BF Endehabtu, MK Gullslett, SA Mengiste BMC medical informatics and decision making 20, 1-9, 2020 | 134 | 2020 |
| Internet use and eHealth literacy among health-care professionals in a resource limited setting: a cross-sectional survey KB Shiferaw, EA Mehari Advances in medical education and practice, 563-570, 2019 | 78 | 2019 |
| Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting KB Shiferaw, BC Tilahun, BF Endehabtu BMC health services research 20, 1-7, 2020 | 64 | 2020 |
| eHealth literacy and internet use among undergraduate nursing students in a resource limited country: A cross-sectional study KB Shiferaw, EA Mehari, T Eshete Informatics in Medicine Unlocked 18, 100273, 2020 | 39 | 2020 |
| Validation of the Ethiopian version of eHealth literacy scale (ET-eHEALS) in a population with chronic disease KB Shiferaw Risk Management and Healthcare Policy, 465-471, 2020 | 20 | 2020 |
| The coexistence of maternal overweight or obesity and child stunting in low-income country: Further data analysis of the 2016 Ethiopia demographic health survey (EDHS) T Eshete, G Kumera, Y Bazezew, T Marie, S Alemu, K Shiferaw Scientific African 9, e00524, 2020 | 19 | 2020 |
| Occupational injury and associated factors among construction workers in Ethiopia: a systematic and meta-analysis M Meseret, T Ehetie, G Hailye, Z Regasa, K Biruk Archives of Environmental & Occupational Health 77 (4), 328-337, 2022 | 7 | 2022 |
| Treatment Satisfaction and Its Associated Factors of Dolutegravir Based Regimen in a Resource Limited Setting EA Mehari, EA Muche, KA Gonete, KB Shiferaw Patient preference and adherence, 1177-1185, 2021 | 7 | 2021 |
| Disparities in regional publication trends on the topic of artificial intelligence in biomedical science over the last five years: a bibliometric analysis KB Shiferaw, D Waltemath, A Zeleke Challenges of Trustable AI and Added-Value on Health, 609-613, 2022 | 6 | 2022 |
| Validation of the Ethiopian version of eHealth Literacy Scale (ET-eHEALS) in a population with chronic disease. Risk Manag Healthc Policy. 2020; 13: 465–71 KB Shiferaw | 5 | |
| Guidelines and standard frameworks for AI in medicine: protocol for a systematic literature review KB Shiferaw, M Roloff, D Waltemath, AA Zeleke JMIR Research Protocols 12 (1), e47105, 2023 | 4 | 2023 |
| Navigating the AI Frontiers in Cardiovascular Research: A Bibliometric Exploration and Topic Modeling KB Shiferaw, P Wali, D Waltemath, AA Zeleke Frontiers in Cardiovascular Medicine 10, 1308668, 2024 | 3 | 2024 |
| Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review KB Shiferaw, M Roloff, I Balaur, D Welter, D Waltemath, AA Zeleke JAMIA open 8 (1), ooae155, 2025 | 2 | 2025 |
| Empowering child health: Harnessing machine learning to predict acute respiratory infections in Ethiopian under-fives using demographic and health survey insights MH Kalayou, AAK Kassaw, KB Shiferaw BMC Infectious Diseases 24 (1), 338, 2024 | 2 | 2024 |
| Assessing the FAIRness of deep learning models in cardiovascular disease using computed tomography images: data and code perspective KB Shiferaw, A Zeleke, D Waltemath Caring is Sharing–Exploiting the Value in Data for Health and Innovation, 63-67, 2023 | 2 | 2023 |
| CALIFRAME: a proposed method of calibrating reporting guidelines with FAIR principles to foster reproducibility of AI research in medicine KB Shiferaw, I Balaur, D Welter, D Waltemath, AA Zeleke JAMIA open 7 (4), ooae105, 2024 | | 2024 |
| Towards metadata for machine learning - Crosswalk tables Castro, Leyla Jael1, Beuttenmüller, Fynn, Chen, Zongxiong, Efeoglu, Sefika ... https://zenodo.org/records/10407320, 2023 | | 2023 |