{
  "abstract": "The rapid advancement of artificial intelligence (AI) has significantly impacted various fields, including medicine. As AI integration in medicine expands, medical students and professionals need to develop a comprehensive understanding of its applications. This study aimed to explore the self-reported knowledge and attitudes of undergraduate Egyptian medical students regarding artificial intelligence application in medical practice. A multicenter cross-sectional study was conducted between June and August 2025 among undergraduate medical students from seven Egyptian medical schools. Participants were recruited using convenience sampling. Data were collected via a validated structured web-based questionnaire distributed through social media to assess students’ demographics, knowledge, and attitudes toward AI applications in medical practice. This study included 1438 medical students with a mean age of 20.3 years ± 1.9 years. Overall, 55.3% demonstrated good knowledge and 66.8% showed a positive attitude toward AI applications in medical practice. Good knowledge was significantly higher among students in higher academic years (3rd year AOR = 1.88, P = 0.006; 4th year AOR = 2.02, P = 0.007; 5th year AOR = 1.86, P = 0.034) and among those reporting peers and mentors (AOR = 1.35, P = 0.017), scientific papers and books (AOR = 1.71, P < 0.001), training courses (AOR = 1.43, P = 0.004), and mass media (AOR = 1.32, P = 0.036) as their main sources of AI information. A positive attitude toward AI was significantly more common among male students (AOR = 1.50, P = 0.001), 4th-year students (AOR = 1.97, P = 0.014), and those willing to enroll in an AI course (AOR = 1.30, P = 0.039). YouTube was perceived as the most valuable social media source for AI-related information (90.4%), followed by Telegram (86.6%) and WhatsApp (65.2%). Although the Egyptian medical students who participated in this study demonstrated generally positive attitudes toward AI and a willingness to learn, they may be navigating this transition with limited institutional guidance. These findings suggest that medical schools should consider integrating AI-related technical literacy and ethical reasoning into the core curriculum.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "name": "Mohamed El-Helaly",
      "orcid": "0000-0002-8415-2639"
    },
    {
      "name": "Abdelaziz M. Hussein",
      "orcid": "0000-0002-0239-175X"
    },
    {
      "name": "Amira Taman",
      "orcid": "0000-0002-4965-449X"
    },
    {
      "name": "Nesrine Saad Farrag",
      "orcid": "0000-0003-4073-1855"
    },
    {
      "name": "Asmaa Ali Elfeky",
      "orcid": "0000-0001-8633-4105"
    },
    {
      "name": "Ahmed Mohamed Elhelaly",
      "orcid": "0009-0009-8855-1192"
    },
    {
      "name": "Noha Essam",
      "orcid": "0000-0002-3930-0428"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9dn8qmq9rw69e.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-72964-3",
  "fulltext_url": "https://doi.org/10.1038/s41598-026-72964-3",
  "id": "9dn8qmq9rw69e",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://www.nature.com/articles/s41598-026-72964-3",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "Q"
    ],
    [
      "lcc",
      "R"
    ],
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
    ]
  ],
  "openalex": "W7161554480",
  "pdf_url": "https://www.nature.com/articles/s41598-026-72964-3.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/9dn8qmq9rw69e.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:33Z",
      "native_id": "10.1038/s41598-026-72964-3",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s41598-026-72964-3"
    },
    {
      "first_seen": "2026-10-30T13:45:56Z",
      "native_id": "0388c110cf2d4f5bb08950fbcffb5586",
      "source": "doaj",
      "url": "https://doi.org/10.1038/s41598-026-72964-3"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Knowledge and attitudes of Egyptian medical students towards artificial intelligence application in medical practice: a multicenter cross‑sectional study",
  "title_text": "Knowledge and attitudes of Egyptian medical students towards artificial intelligence application in medical practice: a multicenter cross‑sectional study",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T14:20:44Z",
  "url": "https://research.draconitic.com/paper/9dn8qmq9rw69e",
  "venue": "Scientific Reports",
  "versions": []
}