Narges Syam | AI in Healthcare | Best Researcher Award

Best Researcher Award

Narges Syam
Affiliation Faculty of Nursing, Alexandria University
Country Egypt
Scopus ID 58703469500
Documents 16
Citations 60
h-index 5
Subject Area AI in Healthcare
Event International AI Data Scientists Award
ORCID 0009-0001-4660-0138

Narges Syam

Faculty of Nursing, Alexandria University, Egypt

Narges Syam is an academic researcher affiliated with the Faculty of Nursing at Alexandria University, Egypt. Her scholarly activities are primarily focused on the application of artificial intelligence and digital health technologies within healthcare environments. Through interdisciplinary research, she has contributed to the advancement of evidence-based healthcare practices, nursing informatics, and technology-assisted patient care. Her publication record, citation profile, and emerging research impact demonstrate sustained engagement with contemporary healthcare challenges and innovation-driven solutions.[1]

Abstract

This article presents a concise academic overview of Narges Syam and her contributions to AI-enabled healthcare research. Her work explores the integration of intelligent technologies into clinical and nursing environments, emphasizing quality improvement, patient outcomes, healthcare efficiency, and digital transformation. The researcher has established a growing scholarly presence through peer-reviewed publications and collaborative investigations that support innovation in healthcare delivery.[1]

Keywords

Artificial Intelligence, Healthcare Informatics, Nursing Research, Clinical Decision Support, Digital Health, Patient Care, Medical Technology, Healthcare Innovation.

Introduction

The rapid adoption of artificial intelligence in healthcare has created new opportunities for improving clinical practice, patient monitoring, and healthcare management. Researchers working at the intersection of healthcare and technology play a critical role in evaluating the effectiveness and implementation of these innovations. Narges Syam’s academic activities contribute to this evolving field by addressing practical and research-oriented challenges associated with healthcare digitization and intelligent systems.[2]

Research Profile

According to available scholarly metrics, the researcher has authored 16 indexed documents, received approximately 60 citations, and attained an h-index of 5. These indicators reflect active participation in academic research and growing recognition within relevant healthcare and nursing domains. Her institutional affiliation with Alexandria University further supports engagement in education, clinical research, and interdisciplinary collaboration.[1]

Research Contributions

  • Application of AI methodologies in healthcare settings.
  • Research supporting nursing informatics and digital transformation.
  • Evaluation of technology-assisted patient care models.
  • Promotion of evidence-based healthcare decision-making.

Publications

The publication portfolio of Narges Syam includes peer-reviewed studies addressing healthcare innovation, nursing practice, patient outcomes, and technology integration. These publications contribute to ongoing discussions regarding the responsible adoption of digital tools and AI-supported systems within modern healthcare environments.[3]

Research Impact

The citation record associated with the researcher’s publications indicates academic engagement and knowledge dissemination among scholars working in healthcare, nursing, and digital health. Research outputs addressing practical healthcare challenges may support improved clinical workflows, patient safety initiatives, and future technology adoption strategies.[1]

Award Suitability

The Best Researcher Award recognizes scholarly excellence, research productivity, and meaningful contributions to a specialized field. Based on her publication record, citation performance, institutional engagement, and focus on AI in Healthcare, Narges Syam demonstrates characteristics aligned with the objectives of the International AI Data Scientists Award. Her research activities reflect dedication to advancing healthcare knowledge through innovative and evidence-based approaches.[1]

Conclusion

Narges Syam represents an emerging contributor to the field of AI-enabled healthcare research. Through publications, academic collaboration, and a commitment to healthcare innovation, she continues to support the advancement of digital health and nursing science. Her achievements and research profile provide a foundation for continued scholarly development and recognition within the international research community.

References

  1. Elsevier. (n.d.). Scopus author details: Narges Syam, Author ID 58703469500. Scopus.
    https://www.scopus.com/pages/authors/58703469500
  2. World Health Organization. (2024). Artificial Intelligence and Digital Health in Healthcare Systems.
    https://www.who.int/
  3. International Journal of Medical Informatics. (2023). Applications of Artificial Intelligence in Healthcare Research.
    https://doi.org/10.1016/j.ijmedinf.2023.105123

Ester Gilart Cantizano | AI in Healthcare | Best Researcher Award

Prof. Dr. Ester Gilart Cantizano | AI in Healthcare | Best Researcher Award

Department of Nursing and Physiotherapy, University of Cadiz, Spain

Ester Gilart Cantizano is a dedicated academic and healthcare researcher whose work bridges innovative nursing education and applied clinical research. With a strong background in nursing sciences, she has developed a robust academic profile integrating research, teaching, and international collaboration. Her scholarly output reflects a commitment to advancing nursing knowledge and contributing to the mental health and professional well-being of healthcare providers. Ester’s active participation in international congresses and scientific publications has positioned her as a significant contributor to evidence-based nursing education and practice.

Profile

Scopus

Education

Ester began her academic journey with a Bachelor’s degree in Nursing in 2016, followed by a Master’s in Nursing Research and Advanced Professional Practice in 2018. She later earned two postgraduate expert qualifications—one in Surgical Anesthesiology for Nurses (2019) and another in Gynecological Nursing Care (2020). Currently, she is completing a PhD in Health Sciences, with a dissertation focused on the post-COVID-19 emotional impacts on nursing professionals, including the development and validation of a professional traumatic grief inventory. Her academic training is supplemented by more than 50 specialized courses that reflect her commitment to continuous education.

Experience

Professionally, Ester has cultivated a multifaceted career combining clinical practice, teaching, and research. Her clinical experience in both public and private hospitals has enriched her teaching approach, allowing her to merge practical skills with theoretical instruction. At the University of Cádiz, she has taught over 600 hours across subjects such as pharmacology, community nursing, occupational health, and bioethics. Her commitment to academic excellence extends to coordinating and evaluating undergraduate theses, conducting specialized training sessions, and implementing active learning strategies in university classrooms. She also served as a mentor for practicum courses and developed evaluation rubrics to assess communication skills.

Research Interest

Ester’s primary research interests include mental health in healthcare professionals, professional grief, nursing education methodologies, and diagnostic label validation. She is a key member of the research group “Present, Past, and Future of Nursing: Innovation, Teaching, and Development” at the University of Cádiz. Her research focuses on designing psychometric instruments and exploring psychological stressors such as unemployment syndrome and grief among nurses. Her current doctoral research investigates the psychological effects of COVID-19 on nurses, aiming to create tools that enhance mental well-being and workplace support structures.

Award

Her contributions to nursing education and mental health research have earned her national and international recognition. She has presented findings at over 20 scientific congresses, including the prestigious Sociedade Espanhola de Epidemiología and Associação Portuguesa de Epidemiologia. She also undertook a notable research stay at the University of Naples in 2024, where she studied the impact of the COVID-19 pandemic on hospital staff’s mental health. This international collaboration enriched her doctoral work and expanded her methodological toolkit for assessing psychological resilience and trauma.

Publication

  1. Healthcare, 2023 – “Identifying Hate Speech and Attribution of Responsibility” – cited by 2 articles.

  2. International Journal of Environmental Research and Public Health, 2022 – “Bereavement Needs Assessment in Nurses” – cited by 5 articles.

  3. International Journal of Nursing Knowledge, 2021 – “Psychometric Properties of Unemployment Syndrome Scale” – cited by 1 article.

  4. International Journal of Environmental Research and Public Health, 2021 – “Unemployment Syndrome During COVID-19” – cited by 9 articles.

  5. International Journal of Nursing Knowledge, 2019 – “Development of a Scale to Measure Unemployment Syndrome” – cited by 2 articles.

  6. Healthcare, 2021 – “When Nurses Become Patients” – cited by 8 articles.

  7. Nursing Reports, 2024 – “Predictive Model for Resilience in Family Caregivers” – recent publication, citations pending.

Conclusion

Ester Gilart Cantizano embodies the synthesis of practice, pedagogy, and research in modern nursing. Her academic journey, rich with advanced degrees and specialized training, reflects her drive to improve healthcare delivery and professional resilience. Through validated psychometric tools and innovative teaching methods, she has significantly influenced both her students and the broader healthcare community. Her leadership in traumatic grief research and her ongoing efforts in international collaboration highlight her as a prominent figure in the evolution of nursing science.