Artificial intelligence: Essentials for nursing

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

Heading toward Artificial Intelligence 2.0

Pan, Y. (2016) · Engineering · doi:10.1016/j.eng.2016.04.018 · Cited by 493

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

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative

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

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

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

Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions

Kwak, Y., Ahn, J.-W., & Seo, Y. H. (2022) · BMC Nursing · doi:10.1186/s12912-022-01048-0 · Cited by 291

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

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

Artificial intelligence in future nursing care: exploring perspectives of nursing professionals - a descriptive qualitative study

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

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

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

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

Dual mediating effects of anxiety to use and acceptance attitude of artificial intelligence technology on the relationship between nursing students’ perception of and intention to use them: a descriptive study

Cho, K. A., & Seo, Y. H. (2024) · BMC Nursing · doi:10.1186/s12912-024-01887-z · Cited by 137

Use of artificial intelligence and virtual reality within clinical simulation for nursing pain education: A scoping review

Harmon, J., Pitt, V., Summons, P., & Inder, K. J. (2021) · Nurse Education Today · doi:10.1016/j.nedt.2020.104700 · Cited by 111

Artificial intelligence in nursing practice: a qualitative study of nurses’ perspectives on opportunities, challenges, and ethical implications

Bodur, G., Çakır, H., Turan, S., Seren, A. K. H., & Göktaş, P. (2025) · BMC Nursing · doi:10.1186/s12912-025-03775-6 · Cited by 108

The Utility of Language Models in Cardiology: A Narrative Review of the Benefits and Concerns of ChatGPT-4

Gala, D., & Makaryus, A. N. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20156438 · Cited by 98

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

Nurses’ perceptions, experience and knowledge regarding artificial intelligence: results from a cross-sectional online survey in Germany

Sommer, D., Schmidbauer, L., & Wahl, F. (2024) · BMC Nursing · doi:10.1186/s12912-024-01884-2 · Cited by 91

How artificial intelligence (AI) supports nursing education: profiling the roles, applications, and trends of AI in nursing education research (1993–2020)

Hwang, G.-J., Tang, K.-Y., & Tu, Y.-F. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2022.2086579 · Cited by 87

Effect of Artificial Intelligence Course in Nursing on Students' Medical Artificial Intelligence Readiness: A Comparative Quasi-Experimental Study

Taskiran, N. (2023) · Nurse Educator · doi:10.1097/nne.0000000000001446 · Cited by 75

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 74

Is there a gap between artificial intelligence applications and priorities in health care and nursing management?

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

Effects of midwifery and nursing students' readiness about medical Artificial intelligence on Artificial intelligence anxiety

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

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

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

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

Effectiveness of designing a knowledge-based artificial intelligence chatbot system into a nursing training program: A quasi-experimental design

Makhlouf, E., Alenezi, A., & Shokr, E. A. (2024) · Nurse Education Today · doi:10.1016/j.nedt.2024.106159 · Cited by 51

The effects of applying artificial intelligence to triage in the emergency department: A systematic review of prospective studies

Yi, N., Baik, D., & Baek, G. (2024) · Journal of Nursing Scholarship · doi:10.1111/jnu.13024 · Cited by 51

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

Using 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 54

The mediation effect of AI self-efficacy between AI literacy and learning engagement in college nursing students: A cross-sectional study

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

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 50

Evaluation of future nurses' knowledge, attitudes and anxiety levels about artificial intelligence applications

Yiğit, D., & Açıkgöz, A. (2024) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.14062 · Cited by 49

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

Artificial intelligence in the field of nursing: attendance, administration and education implications

Mejías, M., Coronado, Y. C. G., & Peralta, A. L. J. (2022) · Salud Ciencia y Tecnología · doi:10.56294/saludcyt202288 · Cited by 57

How the perceived substitution of AI technology hinders nurses’ innovation behavior: the mediating role of AI anxiety and human-AI cooperation intention and the moderating role of organizational AI readiness

Fan, J., Zhang, L., Li, N., & Man, S. (2025) · BMC Nursing · doi:10.1186/s12912-025-03265-9 · Cited by 50

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

Artificial Intelligence Technologies Supporting Nurses' Clinical Decision‐Making: A Systematic Review

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

Redesigning culturally tailored intervention in the precision health era: Self-management science context

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 47

Exploring the deep learning of artificial intelligence in nursing: a concept analysis with Walker and Avant’s approach

Wangpitipanit, S., Lininger, J., & Anderson, N. (2024) · BMC Nursing · doi:10.1186/s12912-024-02170-x · Cited by 39

Artificial intelligence‐based intelligent surveillance for reducing nurses' working hours in nurse–patient interaction: a two‐wave study

Huang, K., Jiao, Z., Cai, Y., & Zhong, Z. (2022) · Journal of Nursing Management · doi:10.1111/jonm.13787 · Cited by 38

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

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 38

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 33

Evaluation of neonatal nurses' anxiety and readiness levels towards the use of artificial intelligence

Ünal, A. S., & Avcı, A. (2024) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2024.09.012 · Cited by 33

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

The Impact of Medical Explainable Artificial Intelligence on Nurses’ Innovation Behaviour: A Structural Equation Modelling Approach

Li, X., Zong, Q., & Cheng, M. (2024) · Journal of Nursing Management · doi:10.1155/2024/8885760 · Cited by 33

Assessment of the relationship between executive Nurses’ leadership Self-Efficacy and medical artificial intelligence readiness

Eminoğlu, A., & Çelikkanat, Ş. (2024) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2024.105386 · Cited by 30

The validity and reliability of the Korean version of the General Attitudes towards Artificial Intelligence Scale for nursing students

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

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

Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units

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

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

Implications 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

Contributions 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

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 26

Achieving Comprehensive, Patient-Centered Cancer Services: Optimizing the Role of Advanced Practice Nurses at the Core of Precision Health

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

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

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 24

Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses

Morales-García, W. C., Sairitupa-Sanchez, L. Z., Morales-García, S. B., & Morales-García, M. (2024) · Behavioral Sciences · doi:10.3390/bs14060437 · Cited by 24

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

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

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

Update

Craig, K. J., & Day, M. P. (2019) · Nursing · doi:10.1097/01.nurse.0000552705.65749.a0 · Cited by 18

The Impact of Artificial Intelligence Technologies on Nutritional Care in Patients with Chronic Kidney Disease: A Systematic Review.

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

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 17

Is artificial intelligence an opportunity or a threat in nursing care?: An in-depth phenomenological study

Alkan, S. A., Kirmaci, N. D., & Koç, Z. (2025) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2025.01.009 · Cited by 16

Leveraging the trust of nurses to advance a digital agenda in Europe: a critical review of health policy literature

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

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

Artificial intelligence-based technology in communication training in nursing education: A scoping review

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 18

Assessing Nurses’ Knowledge Regarding the Application of Artificial Intelligence Among Nursing Practice

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 16

Barriers and facilitators to nurses’ adoption of artificial intelligence-driven solutions in clinical practice: a protocol for a systematic review of qualitative studies

Shankar, R., Devi, F., Ang, E. N. K., & Er, J. B. T. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-099875 · Cited by 14

Insights Into Perceived Worries Regarding the Adoption of Artificial Intelligence Among Intensive Care Unit Nurses in the West Bank

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

Evaluating the Quality of Postpartum Hemorrhage Nursing Care Plans Generated by Artificial Intelligence Models

Karacan, E. (2024) · Journal of Nursing Care Quality · doi:10.1097/ncq.0000000000000766 · Cited by 12

Detecting Sociodemographic Biases in the Content and Quality of Large Language Model–Generated Nursing Care: Cross-Sectional Simulation Study

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

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

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

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 14

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 11

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

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

Nursing students’ trust in artificial intelligence (AI) clinical recommendations: A multicenter cross-sectional study of risk-benefit perceptions across Saudi Arabian universities

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

Proposing Technology-Enhanced Wisdom

Vyas, P., & Gephart, S. M. (2025) · Advances in Nursing Science · doi:10.1097/ans.0000000000000585 · Cited by 7

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 11

Artificial Intelligence–Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading

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

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

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 8

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

Artificial Intelligence in Pediatric Oncology Care: Pediatric Nurses’ Perspectives and Future Implications

Özbay, S. Ç., Gelin, D., & Sarıkahya, S. D. (2025) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2025.152082 · Cited by 5

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

Can Artificial Intelligence Assist Nurses in Planning the Nursing Care of a Child with Acute Lymphoblastic Leukemia?

Aközlü, Z., & Erkut, Z. (2024) · Indian Journal of Medical and Paediatric Oncology · doi:10.1055/s-0044-1788701 · Cited by 5

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

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

Artificial Intelligence for Diabetic Foot Screening Based on Digital Image Analysis: A Systematic Review

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

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

AI Technology Acceptance, Decent Work Perception, and Job Crafting Among Nurses: A Three‐Wave Cross‐Lagged Study

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

RNAO’s Artificial Intelligence Innovations: A Novel Strategy to Advance Evidence-Based Nursing Practice

Naik, S., & Grinspun, D. R. (2024) · Medunab · doi:10.29375/01237047.4633 · Cited by 3

Evaluation of Nurse Academicians’ Knowledge, Attitudes/Behaviours, and Anxiety Levels Regarding Artificial Intelligence Applications

Yiğit, D., & Açıkgöz, A. (2024) · Genel Tıp Dergisi · doi:10.54005/geneltip.1561529 · Cited by 3

Readiness of Nurses and Nursing Students to Use Artificial Intelligence in Healthcare and Influencing Factors

Aktura, S. Ç., & Dertli, S. (2026) · İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi · doi:10.61399/ikcusbfd.1640227 · Cited by 3

ICU Nurses' Perspectives on Artificial Intelligence in Adult Intensive Care Units: Knowledge, Attitudes and Job‐Security Concerns

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

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

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

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

Artificial Intelligence: Applications in Nursing

Priyadarsini, A. R. I. S. (2022) · Asian Pacific Journal of Health Sciences · doi:10.21276/apjhs.2022.9.4.59 · Cited by 3

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 11

Transforming nursing practice through cutting-edge AI in healthcare: Opportunities, challenges, and ethical implications

Park, C. S., Kim, M.-G., & Han, H. W. (2025) · Contemporary Nurse · doi:10.1080/10376178.2024.2424787 · Cited by 17

Artificial Intelligence in Healthcare

Ravindran, V. P. (2023) · Indian Journal of Continuing Nursing Education · doi:10.4103/ijcn.ijcn_2_24 · Cited by 1

Introduction to Artificial Intelligence in Healthcare

Devi, S. (2026) · doi:10.66625/rkph.2026.006