Xu Y, Liu X, Cao X, Huang C, Liu E, Qian S, Liu X, Wu Y, Dong F, Qiu CW, Qiu J, Hua K, Su W, Wu J, Xu H, Han Y, Fu C, Yin Z, Liu M, Roepman R, Dietmann S, Virta M, Kengara F, Zhang Z, Zhang L, Zhao T, Dai J, Yang J, Lan L, Luo M, Liu Z, An T, Zhang B, He X, Cong S, Liu X, Zhang W, Lewis JP, Tiedje JM, Wang Q, An Z, Wang F, Zhang L, Huang T, Lu C, Cai Z, Wang F, Zhang J. Artificial intelligence: a powerful paradigm for scientific research. Innov (Camb). 2021;2(4):100179. https://doi.org/10.1016/j.xinn.2021.100179.
Laupichler MC, Aster A, Schirch J, Raupach T. Artificial intelligence literacy in higher and adult education: a scoping literature review. Computers Education: Artif Intell. 2022;3:100101. https://doi.org/10.1016/j.caeai.2022.100101.
Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, Aldairem A, Alrashed M, Bin Saleh K, Badreldin HA, Al Yami MS, Al Harbi S, Albekairy AM. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23(1):689. https://doi.org/10.1186/s12909-023-04698-z.
Article PubMed PubMed Central Google Scholar
Chua IS, Gaziel-Yablowitz M, Korach ZT, Kehl KL, Levitan NA, Arriaga YE, Jackson GP, Bates DW, Hassett M. Artificial intelligence in oncology: path to implementation. Cancer Med. 2021;10(12):4138–49. https://doi.org/10.1002/cam4.3935.
Article PubMed PubMed Central Google Scholar
Manson EN, Hasford F, Trauernicht C, Ige TA, Inkoom S, Inyang S, Samba O, Khelassi-Toutaoui N, Lazarus G, Sosu EK, Pokoo-Aikins M, Stoeva M. Africa’s readiness for artificial intelligence in clinical radiotherapy delivery: medical physicists to lead the way. Phys Med. 2023;113:102653. https://doi.org/10.1016/j.ejmp.2023.102653.
Seager A, Sharp L, Neilson LJ, Brand A, Hampton JS, Lee TJW, Evans R, Vale L, Whelpton J, Bestwick N, Rees CJ, COLO-DETECT trial team. Polyp detection with colonoscopy assisted by the GI genius artificial intelligence endoscopy module compared with standard colonoscopy in routine colonoscopy practice (COLO-DETECT): a multicentre, open-label, parallel-arm, pragmatic randomised controlled trial. Lancet Gastroenterol Hepatol. 2024;S2468–1253(2400161–4). https://doi.org/10.1016/S2468-1253(24)00161-4.
Li YH, Li YL, Wei MY, Li GY. Innovation and challenges of artificial intelligence technology in personalized healthcare. Sci Rep. 2024;14(1):18994. https://doi.org/10.1038/s41598-024-70073-7.
Article CAS PubMed PubMed Central Google Scholar
Arzamasov K, Vasilev Y, Zelenova M, Pestrenin L, Busygina Y, Bobrovskaya T, Chetverikov S, Shikhmuradov D, Pankratov A, Kirpichev Y, Sinitsyn V, Son I, Omelyanskaya O. Independent evaluation of the accuracy of 5 artificial intelligence software for detecting lung nodules on chest X-rays. Quant Imaging Med Surg. 2024;14(8):5288–303. https://doi.org/10.21037/qims-24-160.
Article PubMed PubMed Central Google Scholar
Dasgupta P, Hemal A, Preminger G, Sur R. The rise of AI in endourology and robotic surgery. J Endourol. 2024;38(8):711. https://doi.org/10.1089/end.2024.32789.pd.
Wangpitipanit S, Lininger J, Anderson N. Exploring the deep learning of artificial intelligence in nursing: a concept analysis with Walker and Avant’s approach. BMC Nurs. 2024;23(1):529. https://doi.org/10.1186/s12912-024-02170-x.
Article PubMed PubMed Central Google Scholar
Khan MA, Koh RGL, Rashidiani S, Liu T, Tucci V, Kumbhare D, Doyle TE. Cracking the Chronic Pain code: a scoping review of Artificial Intelligence in Chronic Pain research. Artif Intell Med. 2024;151:102849. https://doi.org/10.1016/j.artmed.2024.102849.
Cascella M, Schiavo D, Cuomo A, Ottaiano A, Perri F, Patrone R, Migliarelli S, Bignami EG, Vittori A, Cutugno F. Artificial Intelligence for Automatic Pain Assessment: Research methods and perspectives. Pain Res Manag. 2023;2023:6018736. https://doi.org/10.1155/2023/6018736.
Article PubMed PubMed Central Google Scholar
El-Tallawy SN, Pergolizzi JV, Vasiliu-Feltes I, Ahmed RS, LeQuang JK, Alzahrani T, Varrassi G, Awaleh FI, Alsubaie AT, Nagiub MS. Innovative applications of Telemedicine and Other Digital Health Solutions in Pain Management: A literature review. Pain Ther. 2024;13(4):791–812. https://doi.org/10.1007/s40122-024-00620-7.
Article PubMed PubMed Central Google Scholar
Ranger M, Glinas C. Innovating in pain assessment of the critically ill: exploring cerebral near-infrared spectroscopy as a bedside approach. Pain Manage Nurs. 2014;15(2):519–29.
Zamzmi G, Kasturi R, Goldgof D, Zhi R, Ashmeade T, Sun Y. A review of Automated Pain Assessment in infants: features, classification tasks, and databases. IEEE Rev Biomed Eng. 2018;11:77–96. https://doi.org/10.1109/RBME.2017.2777907.
Sarker IH. AI-Based modeling: techniques, applications and Research issues towards automation, Intelligent and Smart systems. SN Comput Sci. 2022;3(2):158. https://doi.org/10.1007/s42979-022-01043-x.
Article PubMed PubMed Central Google Scholar
An Q, Rahman S, Zhou J, Kang JJ. A Comprehensive Review on Machine Learning in Healthcare Industry: classification, restrictions, opportunities and challenges. Sens (Basel). 2023;23(9):4178. https://doi.org/10.3390/s23094178.
Cascella M, Semeraro F, Montomoli J, Bellini V, Piazza O, Bignami E. The breakthrough of large Language models Release for Medical Applications: 1-Year Timeline and perspectives. J Med Syst. 2024;48(1):22. https://doi.org/10.1007/s10916-024-02045-3.
Article PubMed PubMed Central Google Scholar
Hutson M. Will superintelligent AI sneak up on us? New study offers reassurance. Nature. 2024;625(7994):223. https://doi.org/10.1038/d41586-023-04094-z.
Article CAS PubMed Google Scholar
Bellini V, Cascella M, Cutugno F, Russo M, Lanza R, Compagnone C, Bignami EG. Understanding basic principles of Artificial Intelligence: a practical guide for intensivists. Acta Biomed. 2022;93(5):e2022297. https://doi.org/10.23750/abm.v93i5.13626.
Article PubMed PubMed Central Google Scholar
Montomoli J, Bitondo MM, Cascella M, Rezoagli E, Romeo L, Bellini V, Semeraro F, Gamberini E, Frontoni E, Agnoletti V, Altini M, Benanti P, Bignami EG. Algor-ethics: charting the ethical path for AI in critical care. J Clin Monit Comput. 2024. https://doi.org/10.1007/s10877-024-01157-y.
Article PubMed PubMed Central Google Scholar
Bignami E, Montomoli J, Bellini V, Cascella M. Uncovering the power of synergy: a hybrid human-machine model for maximizing AI properties and human expertise. Crit Care. 2023;27(1):330. https://doi.org/10.1186/s13054-023-04598-0.
Article PubMed PubMed Central Google Scholar
Benanti P. The urgency of an algorethics. Discov Artif Intell. 2023;3:11. https://doi.org/10.1007/s44163-023-00056-6.
Allen C, Wallach W, Smit I. Why machine ethics? IEEE Intell Syst. 2006;21(4):12–7.
Cascella M, Montomoli J, Bellini V, Vittori A, Biancuzzi H, Dal Mas F, Bignami EG. Crossing the AI Chasm in Neurocritical Care. Computers. 2023;12(4):83. https://doi.org/10.3390/computers12040083.
Floridi L, Taddeo M. What is data ethics? Philos Trans Math Phys Eng Sci. 2016;374(2083):20160360. https://doi.org/10.1098/rsta.2016.0360.
Health Insurance Portability and Accountability Act of 1996 (HIPAA). Available online: https://www.cdc.gov/phlp/php/resources/health-insurance-portability-and-accountability-act-of-1996-hipaa.html?CDC_AAref_Val=https://www.cdc.gov/phlp/publications/topic/hipaa.html (Last retrieved: June 23, 2024).
McGregor S. (2016) An incident database. Incident number 6. Available: https://incidentdatabase.ai/cite/6. (Last retrieved: July 24, 2024).
Gomutbutra P, Kittisares A, Sanguansri A, Choosri N, Sawaddiruk P, Fakfum P, Lerttrakarnnon P, Saralamba S. Classification of elderly pain severity from automated video clip facial action unit analysis: a study from a Thai data repository. Front Artif Intell. 2022;5:942248. https://doi.org/10.3389/frai.2022.942248.
Article PubMed PubMed Central Google Scholar
Cascella M, Tracey MC, Petrucci E, Bignami EG. Exploring Artificial Intelligence in Anesthesia: a primer on Ethics, and clinical applications. Surgeries. 2023;4(2):264–74. https://doi.org/10.3390/surgeries4020027.
Collins GS, Dhiman P, Andaur Navarro CL, et al. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence. BMJ Open. 2021;11(7):e048008.
Article PubMed PubMed Central Google Scholar
Zednik C. Solving the black box problem: a normative framework for explainable artificial intelligence. Philos Technol. 2021;34:265–88.
Marcus E, Teuwen J. Artificial intelligence and explanation: how, why, and when to explain black boxes. Eur J Radiol. 2024;173:111393. https://doi.org/10.1016/j.ejrad.2024.111393.
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