Zawiah, Mohammed
Northern Border University
8 papers on CoChatORCID 0000-0002-3325-1442
Most cited papers
- Verified
Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023
Hay, S. I., Ong, K. L., Santomauro, D. F., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abate, B. B., Abbafati, C., et al. (2025) · The Lancet
Global Health and EpidemiologyCardiovascular Health and Risk Factors
Cited by 916
- Verified
Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023
Naghavi, M., Kyu, H. H., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abafita, B. J., Abaraogu, U. O., Abbafati, C., Abbasi, M., et al. (2025) · The Lancet
Insurance, Mortality, Demography, Risk ManagementGlobal Health and Epidemiology
Cited by 595
- Verified
Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023
Schumacher, A. E., Zheng, P., Barber, R. M., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abbafati, C., Abbas, N., et al. (2025) · The Lancet
Insurance, Mortality, Demography, Risk ManagementGlobal Cancer Incidence and Screening
Cited by 209
- Verified
Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023
Haeuser, E., Byrne, S., Nguyen, J., Raggi, C., McLaughlin, S. A., Bisignano, C., Harris, A. A., Smith, A. E., Lindstedt, P. A., Smith, G., et al. (2025) · The Lancet
Vaccine Coverage and HesitancyGlobal Maternal and Child Health
Cited by 143
- Verified
Evaluating the sensitivity, specificity, and accuracy of ChatGPT-3.5, ChatGPT-4, bing AI, and bard against conventional drug-drug interactions clinical tools
Al-Ashwal, F. Y., Zawiah, M., Gharaibeh, L., Abu-Farha, R., & Bitar, A. N. (2023) · Drug Healthcare and Patient Safety
Artificial Intelligence in Healthcare and EducationPharmaceutical Practices and Patient Outcomes
Cited by 125
- Verified
Updated trends in the global prevalence and burden of mental disorders, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023
Santomauro, D. F., Miller, P. A., Shadid, J., Wulf Hanson, S., Vo, A., Roy, D. J., Hagins, H., Mantilla Herrera, A. M., Scott, J. G., Erskine, H. E., et al. (2026) · The Lancet
Mental Health Treatment and AccessGlobal Health and Epidemiology
Cited by 83
- Verified
ChatGPT and Clinical Training: Perception, Concerns, and Practice of Pharm-D Students
Zawiah, M., Al-Ashwal, F., Gharaibeh, L., Abu Farha, R., Alzoubi, K., Abu Hammour, K., Qasim, Q. A., & Abrah, F. (2023) · Journal of Multidisciplinary Healthcare
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Education
Cited by 51
- Verified
Evaluation of community pharmacists’ perceptions and willingness to integrate ChatGPT into their pharmacy practice: A study from Jordan
Abu-Farha, R., Fino, L., Al-Ashwal, F. Y., Zawiah, M., Gharaibeh, L., Harahsheh, M. M., & Darwish Elhajji, F. (2023) · Journal of the American Pharmacists Association
Artificial Intelligence in Healthcare and EducationPharmacy and Medical Practices
Cited by 32
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