Prof. Maha Ghanem

Biography:

International committee

  • A member of "Publication Ethics Subcommittee” EASTERN MEDITERRANEAN ASSOCIATION OF MEDICAL EDITORS -EMAME
  • A member of Committee of publication Ethics (COPE)

SCCRe

  • A member of Supreme council for review ethics of clinical medical research (EGYPT)

Supreme council of universities

  • A member of Medical Studies Sector Supreme council of universities

Alexandria University

  • Chairperson of IACUC - Alex (University of Alexandria)

Faculty of Medicine

  • Editor in chief  in Alexandria Medical Journal AJME
  • Prof  Of forensic medicine and clinical toxicology
  • Chairperson of IACUC faculty of medicine
  • Consultant  of Medical Ethics Committee at Faculty of Medicine Alexandria University

Medical syndicate

  • Consultant of medical responsibility committee – July 2021
  • Rapporteur of medical responsibilities and legal support committee
  • Vice president of medical syndicate

EGAC  

  • Assessor of forensic and toxicologic units in The Egyptian Accreditation Council

Abstract:

Responsible Use of Artificial Intelligence in Health Research

Scientific integrity, research governance, and human accountability in the AI era

Abstract

Artificial intelligence (AI) is increasingly integrated into health research, supporting literature searching, protocol development, data management, statistical analysis, scientific writing, image generation, and dissemination. Although these technologies may improve efficiency and expand research capacity, their use introduces important ethical and methodological challenges. These include inaccurate or fabricated information, automation bias, algorithmic bias, breaches of privacy and confidentiality, inappropriate use of copyrighted material, inadequate reproducibility, and unclear responsibility for AI-generated outputs.

This presentation examines the responsible use of AI in health research, with particular emphasis on maintaining scientific integrity and preserving human accountability. It considers the ethical implications of uploading clinical or research data to AI systems, the importance of informed consent and data governance, the need to assess fairness and generalizability, and the requirement for independent verification of AI-assisted analyses, references, images, and scientific interpretations. It also addresses AI-assisted authorship, publication ethics, transparency, disclosure, and the preservation of an appropriate audit trail.

A practical framework based on four principles—justify, verify, govern, and disclose—is introduced to support responsible decision-making throughout the research lifecycle. The presentation also discusses the responsibilities of individual researchers, principal investigators, research teams, institutions, ethics committees, and journals. The central message is that AI should function as a research assistant rather than an autonomous scientific authority. Human researchers remain responsible for the validity, originality, ethical acceptability, transparency, and consequences of the work. Responsible AI adoption therefore requires not only technical competence but also critical judgment, effective governance, and a sustained commitment to research integrity.

Keywords: artificial intelligence; health research; research integrity; research ethics; scientific accountability; data privacy; publication ethics; human oversight.