Huda Eid

ORCID: 0000-0002-2804-1942
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About
Contact & Profiles
Research Areas
  • Vaccine Coverage and Hesitancy
  • Misinformation and Its Impacts
  • Artificial Intelligence in Healthcare and Education
  • COVID-19 diagnosis using AI
  • SARS-CoV-2 and COVID-19 Research
  • Oral and Maxillofacial Pathology
  • Tumors and Oncological Cases
  • COVID-19 and Mental Health
  • Oral Health Pathology and Treatment
  • Topic Modeling
  • Poxvirus research and outbreaks
  • Influenza Virus Research Studies
  • Cervical Cancer and HPV Research
  • Hepatitis B Virus Studies
  • Explainable Artificial Intelligence (XAI)
  • Viral Infections and Outbreaks Research
  • Radiomics and Machine Learning in Medical Imaging

Danube Private University
2023-2025

University of Jordan
2020-2024

RWTH Aachen University
2024

Jordan Hospital
2022

Vaccination could be an effective strategy for slowing the spread of current coronavirus disease 2019 (COVID-19) pandemic. Vaccine hesitancy pose a serious problem COVID-19 prevention, due to misinformation surrounding ongoing The aim this study was assess attitudes towards prospective vaccines among general public in Jordan, Kuwait and other Arab countries. We also aimed association between vaccine acceptance conspiracy beliefs. This used online survey distributed December 2020, with items...

10.3390/vaccines9010042 article EN cc-by Vaccines 2021-01-12

Vaccination to prevent coronavirus disease 2019 (COVID-19) emerged as a promising measure overcome the negative consequences of pandemic. Since university students could be considered knowledgeable group, this study aimed evaluate COVID-19 vaccine acceptance among group in Jordan. Additionally, we examine association between conspiracy beliefs and hesitancy. We used an online survey conducted January 2021 with chain-referral sampling approach. Conspiracy were evaluated using validated...

10.3390/ijerph18052407 article EN International Journal of Environmental Research and Public Health 2021-03-01

Since the emergence of recent coronavirus disease 2019 (COVID-19) and its spread as a pandemic, media was teeming with misinformation that led to psychologic, social economic consequences among global public. Probing knowledge anxiety regarding this novel infectious is necessary identify gaps in sources which can help public health efforts design implement more focused interventional measures. The aim study evaluate knowledge, attitude effects about COVID-19 on level general residing Jordan....

10.1371/journal.pone.0243264 article EN cc-by PLoS ONE 2020-12-03

Vaccination to prevent influenza virus infection and lessen its severity is recommended among healthcare workers (HCWs). Health professionals have a higher risk of exposure viruses could transmit the vulnerable patients who are prone severe disease mortality. The aim current study was evaluate levels vaccine acceptance uptake as well determinants, Jordanian HCWs over last season 2021/2022. This based on self-administered electronic survey that distributed in March 2022. Psychological...

10.3390/vaccines10081355 article EN cc-by Vaccines 2022-08-19

Abstract Since the emergence of recent coronavirus disease 2019 (COVID-19) and its spread as a pandemic, media was teeming with misinformation that led to psychologic, social economic consequences among global public. Probing knowledge anxiety regarding this novel infectious is necessary identify gaps sources which can help public health efforts design implement more focused interventional measures. The aim study evaluate knowledge, attitude effects about COVID-19 on level general residing...

10.1101/2020.07.13.20152694 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-07-15

Cervical cancer is a leading cause of morbidity and mortality in women worldwide. The availability prophylactic vaccines for high-risk types human papillomavirus (HPV) infection represents an important advancement the prevention cervical cancer. In Jordan, HPV vaccination restricted to individuals who are willing pay. aim current study was evaluate willingness attitude female university students health schools/faculties Jordan get their knowledge about virus. A self-administered online...

10.3390/vaccines9121432 article EN cc-by Vaccines 2021-12-03

Artificial intelligence (AI) chatbots excel in language understanding and generation. These models can transform healthcare education practice. However, it is important to assess the performance of such AI various topics highlight its strengths possible limitations. This study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master's level Medical Laboratory Sciences.

10.2147/amep.s479801 article EN cc-by-nc Advances in Medical Education and Practice 2024-09-01

Conspiracy theories accompany the emergence of infectious diseases and 2022 multi-country monkeypox (MPX) outbreak is no exception. It possible that adoption conspiracy beliefs negatively impacts health behavior. We aimed to assess prevalence conspiratorial attitudes towards emerging virus infections (EVIs) response measures aiming control these among general public in Jordan. In addition, we assessed MPX knowledge belief role men who have sex with (MSM) spread. The online survey data were...

10.3390/tropicalmed7120411 article EN cc-by Tropical Medicine and Infectious Disease 2022-11-30

Abstract The advances in large language models (LLMs) are evolving rapidly. Artificial intelligence (AI) chatbots based on LLMs excel understanding and generation, with potential utility to transform healthcare education practice. However, it is important assess the performance of such AI various topics highlight its strengths possible limitations. Therefore, this study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master’s (MSc) level Medical...

10.1101/2024.01.08.24300995 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2024-01-09

Background: The emergence of Chinese generative AI (genAI) models, such as DeepSeek and Qwen, has introduced strong competition to Western genAI models. These advancements hold significant potential in healthcare education. However, benchmarking the performance models specialized medical disciplines is crucial assess their strengths limitations. This study builds on prior research evaluating ChatGPT (GPT-3.5 GPT-4), Bing, Bard against human postgraduate students Medical Laboratory Sciences,...

10.58496/bjai/2025/001 article EN other-oa Deleted Journal 2025-02-08

Abstract Background The advances in large language models (LLMs) are evolving rapidly. Artificial intelligence (AI) chatbots based on LLMs excel understanding and generation, with potential utility to transform healthcare education practice. However, it is important assess the performance of such AI various topics highlight its strengths possible limitations. Therefore, this study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master’s (MSc)...

10.21203/rs.3.rs-3880412/v1 preprint EN cc-by Research Square (Research Square) 2024-01-23

Background Aims: Diseases of the oral cavity are heterogenous regarding their etiology, pathogenesis, histogenesis and clinical outcomes. The aim this study was to examine frequency diseases encountered in our experience.
 Methods: archives pathology at Jordan University Hospital were retrospectively searched for specimens from 2013–2020. Fisher’s exact test performed statistical difference between pathologic diagnosis variables. One-way ANOVA used analyze differences mean age different...

10.35516/jmj.v57i1.1098 article EN Jordan Medical Journal 2023-04-05
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