Artificial intelligence: Essentials for nursing
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Artificial intelligence (AI) is a transformational technology that will affect all healthcare providers. This article offers an overview of basic AI concepts and the role of nurses in embracing this technology in healthcare settings.
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Nurses and nursing students are potential users of AI-based technology and are in a pivotal position to shape and lead the use of AI within the nursing field.
“Nurses and nursing students are potential users of AI-based technology and are in a pivotal position to shape and lead the use of AI within the nursing field [14].”
From Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions (2022) · cites this paper as [14]
Cites
Predicting the future - big data, machine learning, and clinical medicine
Obermeyer, Z., & Emanuel, E. J. (2016) · New England Journal of Medicine · doi:10.1056/nejmp1606181 · Cited by 3,652 · see citing works
Heading toward Artificial Intelligence 2.0
Pan, Y. (2016) · Engineering · doi:10.1016/j.eng.2016.04.018 · Cited by 432 · see citing works
On Syntactic Pattern Recognition
Fu, K. S., & Swain, P. H. (1971) · Report - Software Engineering · doi:10.1016/b978-0-12-696202-4.50017-6 · Cited by 89 · see citing works
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Ronquillo, C. E., Peltonen, L., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., Cato, K., Hardiker, N., Junger, A., Michalowski, M., et al. (2021) · Journal of Advanced Nursing · doi:10.1111/jan.14855 · Cited by 453 · see citing works
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence
von Gerich, H., Moen, H., Block, L. J., Chu, C. H., DeForest, H., Hobensack, M., Michalowski, M., Mitchell, J., Nibber, R., Olalia, M. A., et al. (2022) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2021.104153 · Cited by 360 · see citing works
Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review
Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2021) · JMIR Nursing · doi:10.2196/23933 · Cited by 326 · see citing works
Kwak, Y., Ahn, J.-W., & Seo, Y. H. (2022) · BMC Nursing · doi:10.1186/s12912-022-01048-0 · Cited by 291 · see citing works
Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review
Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2020) · JMIR Nursing · doi:10.2196/23939 · Cited by 238 · see citing works
Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future
Rony, M. K. K., Parvin, M. R., & Ferdousi, S. (2024) · Nursing Open · doi:10.1002/nop2.2070 · Cited by 202 · see citing works
Rony, M. K. K., Kayesh, I., Bala, S. D., Akter, F., & Parvin, M. R. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e25718 · Cited by 190 · see citing works
The role of artificial intelligence in enhancing clinical nursing care: A scoping review
Ng, Z. Q. P., Ling, L. Y. J., Chew, H. S. J., & Lau, Y. (2022) · Journal of Nursing Management · doi:10.1111/jonm.13425 · Cited by 184 · see citing works
Applications of Artificial Intelligence in Nursing Care: A Systematic Review
Martinez‐Ortigosa, A., Martinez-Granados, A., Gil-Hernández, E., Rodríguez-Arrastia, M. J., Ropero‐Padilla, C., & Román, P. (2023) · Journal of Nursing Management · doi:10.1155/2023/3219127 · Cited by 151 · see citing works
The disruptive power of Artificial Intelligence. Ethical aspects of gerontechnology in elderly care
Rubeis, G. (2020) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2020.104186 · Cited by 139 · see citing works
Cho, K. A., & Seo, Y. H. (2024) · BMC Nursing · doi:10.1186/s12912-024-01887-z · Cited by 137 · see citing works
Harmon, J., Pitt, V., Summons, P., & Inder, K. J. (2021) · Nurse Education Today · doi:10.1016/j.nedt.2020.104700 · Cited by 111 · see citing works
Bodur, G., Çakır, H., Turan, S., Seren, A. K. H., & Göktaş, P. (2025) · BMC Nursing · doi:10.1186/s12912-025-03775-6 · Cited by 99 · see citing works
Gala, D., & Makaryus, A. N. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20156438 · Cited by 94 · see citing works
Can digital leadership transform AI anxiety and attitude in nurses?
Tarsuslu, S., Ağaoğlu, F. O., & Baş, M. (2024) · Journal of Nursing Scholarship · doi:10.1111/jnu.13008 · Cited by 93 · see citing works
Sommer, D., Schmidbauer, L., & Wahl, F. (2024) · BMC Nursing · doi:10.1186/s12912-024-01884-2 · Cited by 91 · see citing works
Hwang, G.-J., Tang, K.-Y., & Tu, Y.-F. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2022.2086579 · Cited by 87 · see citing works
Taskiran, N. (2023) · Nurse Educator · doi:10.1097/nne.0000000000001446 · Cited by 75 · see citing works
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Zhong, N., Wang, H., Huang, X., Li, Z., Cao, L., Huo, F., Liu, B., & Bu, L. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.07.002 · Cited by 71 · see citing works
Chen, Y., Moreira, P., Liu, W., Monachino, M. S., Nguyen, T. L. H., & Wang, A. (2022) · Journal of Nursing Management · doi:10.1111/jonm.13851 · Cited by 67 · see citing works
Kaymak, Z. D., Turan, Z., Bıdık, N. Ü., & Ünkazan, S. (2024) · Nurse Education in Practice · doi:10.1016/j.nepr.2024.103994 · Cited by 66 · see citing works
Examining the Role of AI in Changing the Role of Nurses in Patient Care: Systematic Review
Khatib, I. A., & Ndiaye, M. (2024) · JMIR Nursing · doi:10.2196/63335 · Cited by 65 · see citing works
Challenges of AI Adoption in the UAE Healthcare
Badi, F. K. A., Hosani, K. A. A., Jabeen, F., Stachowicz-Stanusch, A., Shehzad, N., & Amann, W. (2021) · Vision The Journal of Business Perspective · doi:10.1177/0972262920988398 · Cited by 59 · see citing works
Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review
Buchanan, C., Howitt, L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2020) · JMIR Research Protocols · doi:10.2196/17490 · Cited by 52 · see citing works
Makhlouf, E., Alenezi, A., & Shokr, E. A. (2024) · Nurse Education Today · doi:10.1016/j.nedt.2024.106159 · Cited by 51 · see citing works
Yi, N., Baik, D., & Baek, G. (2024) · Journal of Nursing Scholarship · doi:10.1111/jnu.13024 · Cited by 51 · see citing works
Transforming clinical data into wisdom: Artificial intelligence implications for nurse leaders
Cato, K. D., McGrow, K., & Rossetti, S. C. (2020) · Nursing Management · doi:10.1097/01.numa.0000719396.83518.d6 · Cited by 49 · see citing works
Self-citationUsing Generative AI in nursing education: Students’ perceptions
Khlaif, Z. N., Salameh, N., Ajouz, M., Mousa, A., Itmazi, J. A., Alwawi, A. A., & Alkaissi, A. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07416-z · Cited by 48 · see citing works
He, T., Huang, J., Li, Y., Wang, L., Liu, J., Zhang, F., Fu, S., & Gong, S. (2025) · Nurse Education in Practice · doi:10.1016/j.nepr.2025.104499 · Cited by 48 · see citing works
The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review
Milasan, L. H., & Scott, D. (2025) · International Journal of Mental Health Nursing · doi:10.1111/inm.70003 · Cited by 47 · see citing works
Yiğit, D., & Açıkgöz, A. (2024) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.14062 · Cited by 46 · see citing works
Artificial Intelligence Literacy Levels of Perioperative Nurses: The Case of Türkiye
Kahraman, H., Akutay, S., Kaçmaz, H. Y., & Taşçı, S. (2025) · Nursing and Health Sciences · doi:10.1111/nhs.70059 · Cited by 46 · see citing works
Mejías, M., Coronado, Y. C. G., & Peralta, A. L. J. (2022) · Salud Ciencia y Tecnología · doi:10.56294/saludcyt202288 · Cited by 46 · see citing works
Fan, J., Zhang, L., Li, N., & Man, S. (2025) · BMC Nursing · doi:10.1186/s12912-025-03265-9 · Cited by 45 · see citing works
Guardians of humanity? The challenges of nursing practice in the digital age
Rubeis, G. (2020) · Nursing Philosophy · doi:10.1111/nup.12331 · Cited by 44 · see citing works
Mikkonen, K., Tuunainen, S., Oikarinen, A., Jansson, M. M., Woo, B., Zhou, W., Tam, W., Tuomikoski, A., Kaakinen, P., Juntunen, J., et al. (2025) · Journal of Clinical Nursing · doi:10.1111/jocn.70156 · Cited by 42 · see citing works
Kim, M. T., Heitkemper, E., Hébert, E. T., Hecht, J. P., Crawford, A. D., Nnaka, T., Hutson, T. S., Rhee, H., & Radhakrishnan, K. (2022) · Nursing Outlook · doi:10.1016/j.outlook.2022.05.015 · Cited by 41 · see citing works
Wangpitipanit, S., Lininger, J., & Anderson, N. (2024) · BMC Nursing · doi:10.1186/s12912-024-02170-x · Cited by 39 · see citing works
Huang, K., Jiao, Z., Cai, Y., & Zhong, Z. (2022) · Journal of Nursing Management · doi:10.1111/jonm.13787 · Cited by 38 · see citing works
Nurses perceptions and use of artificial intelligence in healthcare
Areshtanab, H. N., Rahmani, F., Vahidi, M., Saadati, S. Z., & Pourmahmood, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-11002-0 · Cited by 37 · see citing works
Application of Artificial Intelligence in Oncology Nursing
Zhou, T., Luo, Y., Li, J., Zhang, H., Meng, Z., Xiong, W., & Zhang, J. (2023) · Cancer Nursing · doi:10.1097/ncc.0000000000001254 · Cited by 34 · see citing works
Hemşirelik Eğitimi ve Hemşirelik Süreci Perspektifinden Yapay Zeka Teknolojilerine Farklı Bir Bakış
Aslan, F., & Subaşı, A. (2022) · Sağlık Bilimleri Üniversitesi Hemşirelik Dergisi · doi:10.48071/sbuhemsirelik.1109187 · Cited by 32 · see citing works
Ünal, A. S., & Avcı, A. (2024) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2024.09.012 · Cited by 33 · see citing works
Content validation and usability of a chatbot of guidelines for wound dressing
da Silva Lima Roque, G., Roque de Souza, R., Araújo do Nascimento, J. W., de Campos Filho, A. S., de Melo Queiroz, S. R., & Ramos Vieira Santos, I. C. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104473 · Cited by 31 · see citing works
Li, X., Zong, Q., & Cheng, M. (2024) · Journal of Nursing Management · doi:10.1155/2024/8885760 · Cited by 31 · see citing works
Eminoğlu, A., & Çelikkanat, Ş. (2024) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2024.105386 · Cited by 30 · see citing works
Seo, Y. H., & Ahn, J. (2022) · The Journal of Korean Academic Society of Nursing Education · doi:10.5977/jkasne.2022.28.4.357 · Cited by 28 · see citing works
Artificial Intelligence Anxiety of Nurses and Related Factors
Çobanoğlu, A., & Oğuzhan, H. (2023) · Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi · doi:10.37989/gumussagbil.1274522 · Cited by 28 · see citing works
Ayed, A., Batran, A., Aqtam, I. F., Malak, M. Z., Ejheisheh, M. A., Farajallah, M., Farraj, L., & Alkhatib, S. G. (2025) · BMC Nursing · doi:10.1186/s12912-025-03318-z · Cited by 28 · see citing works
Potential uses of AI for perioperative nursing handoffs: a qualitative study
King, C. R., Shambe, A., & Abraham, J. (2023) · JAMIA Open · doi:10.1093/jamiaopen/ooad015 · Cited by 27 · see citing works
“The most common approach applying AI to EHR data for nursing is supervised machine learning (ML), in which algorithms use EHR data as inputs to predict unknown or unrecorded characteristics of a patient, such as future adverse events, current patient condition, or undocumented comorbidities.(34) Although often discuss…”
MethodImplications of artificial intelligence for nurse managers
Ross, A., Freeman, R., McGrow, K., & Kagan, O. (2024) · Nursing Management · doi:10.1097/nmg.0000000000000143 · Cited by 27 · see citing works
Self-citationContributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol
Fernandes, F., Santos, P., de Sá, L. O., & Neves, J. (2023) · Nursing Reports · doi:10.3390/nursrep13010007 · Cited by 26 · see citing works
Ethical and Institutional Readiness for Artificial Intelligence in Nursing: An Umbrella Review
Almagharbeh, W. T., Alharrasi, M., Rony, M. K. K., Kabir, S., Ahmed, S. K., & Alrazeeni, D. M. (2025) · International Nursing Review · doi:10.1111/inr.70111 · Cited by 25 · see citing works
Colomer‐Lahiguera, S., Gentizon, J., Christofis, M., Darnac, C., Serena, A., & Eicher, M. (2024) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2024.151629 · Cited by 24 · see citing works
Perspectives on Artificial Intelligence in Nursing in Asia
Lukkahatai, N., & Han, G. (2024) · Asian/Pacific Island Nursing Journal · doi:10.2196/55321 · Cited by 24 · see citing works
Navigating the future: artificial intelligence's impact on transformational nurse leadership
Sullivan, D., Hall, V. P., & Morrison, J. (2024) · Teaching and learning in nursing · doi:10.1016/j.teln.2024.04.017 · Cited by 23 · see citing works
Morales-García, W. C., Sairitupa-Sanchez, L. Z., Morales-García, S. B., & Morales-García, M. (2024) · Behavioral Sciences · doi:10.3390/bs14060437 · Cited by 21 · see citing works
AI and IoT Enabled Smart Hospital Management Systems
Gourisaria, M. K., Agrawal, R., Singh, V., Rautaray, S. S., & Pandey, M. (2022) · Studies in big data · doi:10.1007/978-981-19-5154-1_6 · Cited by 21 · see citing works
Effect of Mixed Variation of Magnesium Carbonate and Bottom Ash for Stabilization of Subgrade Soils
Firdaus, N. A. A., Ismanti, S., & Rifa'i, A. (2024) · The Open Civil Engineering Journal · doi:10.2174/0118749445304699240416074458 · Cited by 20 · see citing works
Polish Nurses’ Attitude to e-Health Solutions and Self-Assessment of Their IT Competence
Bartosiewicz, A., Burzyńska, J., & Januszewicz, P. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10204799 · Cited by 20 · see citing works
Craig, K. J., & Day, M. P. (2019) · Nursing · doi:10.1097/01.nurse.0000552705.65749.a0 · Cited by 18 · see citing works
Palomares, S. M., Ferrara, G., Sguanci, M., Gazineo, D., Godino, L., Palmisano, A., Paderno, A., Vrenna, G., Faraglia, E., Petrelli, F., et al. (2026) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2025.06.002 · Cited by 17 · see citing works
Foundation Models, Generative AI, and Large Language Models
Ross, A., McGrow, K., Zhi, D., & Rasmy, L. (2024) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000001149 · Cited by 16 · see citing works
Self-citationAlkan, S. A., Kirmaci, N. D., & Koç, Z. (2025) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2025.01.009 · Cited by 16 · see citing works
Raeve, P. D., Davidson, P. M., Shaffer, F. A., Pol, E., Pandey, A. K., & Adams, E. (2021) · Open Research Europe · doi:10.12688/openreseurope.13231.1 · Cited by 15 · see citing works
Hierarchical learning of robotic contact policies
Simonič, M., Ude, A., & Nemec, B. (2023) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2023.102657 · Cited by 15 · see citing works
Yeung, J. W. Y., Ho, K. H. M., Cheung, J., Tsang, J. T. Y., & Chong, D. K. Y. (2025) · Journal of Professional Nursing · doi:10.1016/j.profnurs.2025.04.011 · Cited by 15 · see citing works
Yaseen, M. M., Alsharif, F. H., Altaf, R. A., Asiri, T. W., Bagies, R. M., Alharbi, S. B., & Altaf, B. A. S. (2025) · Nursing Research and Practice · doi:10.1155/nrp/9371969 · Cited by 13 · see citing works
Shankar, R., Devi, F., Ang, E. N. K., & Er, J. B. T. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-099875 · Cited by 14 · see citing works
Batran, A., Ayed, A., Aqtam, I. F., Al-Amer, R. M., Othman, E. H., Ejheisheh, M. A., daamsa, H. N. A., Alkhatib, S. G., & Farajallah, M. (2025) · SAGE Open Nursing · doi:10.1177/23779608251376177 · Cited by 12 · see citing works
Karacan, E. (2024) · Journal of Nursing Care Quality · doi:10.1097/ncq.0000000000000766 · Cited by 12 · see citing works
Bai, N., Yu, Y., Chun-yan, L., Zhou, S. C., Wang, Q., Zou, H., Liu, Q., Fu, G., Zhai, W., Zhao, Q. Y., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/78132 · Cited by 11 · see citing works
Comparing ChatGPT and Google Bard: Assessing AI-Powered Information Retrieval in Nursing
Mahmood, Y. M., Mohammed, R. O., Habibullah, I. J., Rahim, H. M.-A., & Salih, A. M. (2024) · Barw Medical Journal · doi:10.58742/hsn32c73 · Cited by 11 · see citing works
In the face of confounders: Atrial fibrillation detection – Practitioners vs. ChatGPT
Avidan, Y., Tabachnikov, V., Court, O. B., Khoury, R., & Aker, A. (2024) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2024.153851 · Cited by 11 · see citing works
Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review
Fernandes, F., Shinners, L., Mota, M., Santos, P., & Sá, L. (2026) · Nursing and Health Sciences · doi:10.1111/nhs.70308 · Cited by 12 · see citing works
Scope of technology in health care, special focus on nursing
Malla, A. M., & Amin, U. (2023) · Journal of Integrative Nursing · doi:10.4103/jin.jin_92_23 · Cited by 10 · see citing works
Artificial Intelligence (AI) in Nursing Services: A Literature Review
Kurniawan, M. H., Handiyani, H., Nuraini, T., & Hariyati, R. T. S. (2023) · Faletehan Health Journal · doi:10.33746/fhj.v10i01.556 · Cited by 9 · see citing works
Digital resilience of clinical nurses: a concept analysis
Mo, Y., Zhang, H., Bai, X., Lei, S., & Han, L. (2025) · BMC Nursing · doi:10.1186/s12912-025-03713-6 · Cited by 8 · see citing works
Mersal, F. A., Mersal, N. A., Ibrahim, N. M., Elgazzar, S. E., Alanazi, A. M., Alzughaibi, S., Alanazi, E. M., & Elsayed, E. A. H. (2026) · Digital Health · doi:10.1177/20552076261429671 · Cited by 8 · see citing works
Proposing Technology-Enhanced Wisdom
Vyas, P., & Gephart, S. M. (2025) · Advances in Nursing Science · doi:10.1097/ans.0000000000000585 · Cited by 7 · see citing works
Inteligência artificial e enfermagem: reflexão sobre o uso de tecnologias no processo de cuidar
Aydoğdu, A. L. F. (2022) · Revista de Enfermagem da UFJF · doi:10.34019/2446-5739.2020.v6.37017 · Cited by 7 · see citing works
Wiedbrauck, D., Karczewski, M., Schoenberg, S. O., Fink, C., & Kayed, H. (2023) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0000000000001572 · Cited by 7 · see citing works
Geçmişten Günümüze Cerrahi ve Cerrahi Hemşireliğinin Yeri
Aygın, D., & Gül, A. (2021) · İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi · doi:10.38079/igusabder.973827 · Cited by 7 · see citing works
AI Integration in Behavioral Healthcare: A Practical Framework for Clinicians
Sadeh‐Sharvit, S., & Hollon, S. D. (2025) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-025-00532-z · Cited by 7 · see citing works
Countering myths and harms of artificial intelligence and big data
Walker, R. (2022) · Teaching and learning in nursing · doi:10.1016/j.teln.2022.07.009 · Cited by 6 · see citing works
Özbay, S. Ç., Gelin, D., & Sarıkahya, S. D. (2025) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2025.152082 · Cited by 5 · see citing works
Artificial intelligence to predict bed bath time in Intensive Care Units
Toledo, L. V., Bhering, L. L., & Ercole, F. F. (2024) · Revista Brasileira de Enfermagem · doi:10.1590/0034-7167-2023-0201 · Cited by 5 · see citing works
Aközlü, Z., & Erkut, Z. (2024) · Indian Journal of Medical and Paediatric Oncology · doi:10.1055/s-0044-1788701 · Cited by 5 · see citing works
Exploring the Evolution of the Term “Presence” in Nursing
Moreno, J. T. M. (2024) · Holistic Nursing Practice · doi:10.1097/hnp.0000000000000719 · Cited by 5 · see citing works
Acceptance of Digital Health Care Technology and the Role of Nursing Education
Han, J.-Y., Kim, M., Ryu, K. H., & Shin, K. (2024) · The Journal of Continuing Education in Nursing · doi:10.3928/00220124-20241107-03 · Cited by 4 · see citing works
Anggreni, N. K. I. S., Kristianto, H., Handayani, D., Yueniwati, Y., Irawan, P. L. T., Rosandi, R., Kapti, R. E., & Purnama, A. D. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251317521 · Cited by 4 · see citing works
Hemşirelik Öğrencilerinin Yapay Zekâya Yönelik Tutumlarının İncelenmesi
Saydamlı, Ş., Şahin, S., & Er, M. N. (2025) · İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi · doi:10.61399/ikcusbfd.1548434 · Cited by 4 · see citing works
Jing, J., Fu, Y., Liu, D., Ma, Z., Qiu, H., Zhang, H., Liu, J. C., & Chen, C. (2026) · International Nursing Review · doi:10.1111/inr.70150 · Cited by 4 · see citing works
Naik, S., & Grinspun, D. R. (2024) · Medunab · doi:10.29375/01237047.4633 · Cited by 3 · see citing works
Yiğit, D., & Açıkgöz, A. (2024) · Genel Tıp Dergisi · doi:10.54005/geneltip.1561529 · Cited by 3 · see citing works
Aktura, S. Ç., & Dertli, S. (2026) · İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi · doi:10.61399/ikcusbfd.1640227 · Cited by 3 · see citing works
Sayed, Z. A., Alnjadat, R. M., Khwaldeh, A., & Alqudah, L. M. M. (2026) · Nursing in Critical Care · doi:10.1111/nicc.70477 · Cited by 3 · see citing works
The applications and challenges of artificial intelligence in nursing
Su, C., Liu, Y., Zhou, X., Tang, R., Yang, M. H., Wang, J., Zhang, S., Chen, Z., Ma, X., Wang, J., et al. (2024) · Interdisciplinary Nursing Research · doi:10.1097/nr9.0000000000000077 · Cited by 3 · see citing works
Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?
Avidan, Y., Naoum, I., Khoury, R., Zahra, S., Ben‐Dov, N., Schliamser, J. E., Danon, A., & Aker, A. (2025) · Heart & Lung · doi:10.1016/j.hrtlng.2025.04.032 · Cited by 3 · see citing works
Artificial intelligence: Challenges & opportunities for the nursing profession
Karkhah, S., Javadi‐Pashaki, N., Farouji, A. F., Jafaraghaee, F., Zeydi, A. E., & Ghazanfari, M. J. (2022) · Journal of Clinical Nursing · doi:10.1111/jocn.16455 · Cited by 3 · see citing works
- Authors
- McGrow, K.
- Affiliations
- Microsoft (United States) (US)
- Corresponding author
- McGrow, Kathleen
- ORCID
- McGrow, Kathleen
- Venue
- Nursing
- Published
- 2019-09
- Volume
- 49
- Issue
- 9
- Pages
- 46-49
- ISSN
- 0360-4039 (ISSN-L)
- PMC
- PMC6716553
- OpenAlex
- W2965120908
- Cited by
- 146
- References
- 3
- Citations by year
- 2026: 22 · 2025: 35 · 2024: 35 · 2023: 17 · 2022: 16 · 2021: 10 · 2020: 7 · 2019: 2 · 2018: 1
- FWCI
- 2.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Nursing (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- artificial intelligence, nursing role, health technology adoption, AI concepts, healthcare workers
- MeSH terms
- Artificial Intelligence, Humans, Nursing, Nurse's Role
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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