Chatgpt İle Ortopedik Tanı ve Tedavi Süreçlerinde Destek

Myers TG, Ramkumar PN, Ricciardi BF, et al. Artificial Intelligence and Orthopaedics: An Introduction for Clinicians. Journal of Bone and Joint Surgery. 2020;102(9): 830-840. doi:10.2106/JBJS.19.01128

Panchmatia JR, Visenio MR, Panch T. The role of artificial intelligence in orthopaedic surgery. Br J Hosp Med. 2018;79(12): 676-681. doi:10.12968/hmed.2018.79.12.676

Zhang P, Kamel Boulos MN. Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges. Future Internet. 2023;15(9): 286. doi:10.3390/fi15090286

Tafat W, Budka M, McDonald D, et al. Artificial intelligence in orthopaedic surgery: A comprehensive review of current innovations and future directions. Computational and Structural Biotechnology Reports. 2024;1: 100006. doi:10.1016/j.csbr.2024.100006

Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1): 44-56. doi:10.1038/s41591-018-0300-7

Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4): 230-243. doi:10.1136/svn-2017-000101

Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthcare Journal. 2019;6(2): 94-98. doi:10.7861/futurehosp.6-2-94

Svedberg P, Reed J, Nilsen P, et al. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Res Protoc. 2022;11(3): e34920. doi:10.2196/34920

Department of Computer Science, Adeyemi College of Education, Ondo, Nigeria, Iroju OG, Olaleke JO. A Systematic Review of Natural Language Processing in Healthcare. IJITCS. 2015;7(8): 44-50. doi:10.5815/ijitcs.2015.08.07

Karalis VD. The Integration of Artificial Intelligence into Clinical Practice. Applied Biosciences. 2024;3(1): 14-44. doi:10.3390/applbiosci3010002

Shah MK, Gandrakota N, Cimiotti JP, et al. Prevalence of and Factors Associated With Nurse Burnout in the US. JAMA Netw Open. 2021;4(2): e2036469. doi:10.1001/jamanetworkopen.2020.36469

Chary M, Parikh S, Manini A, et al. A Review of Natural Language Processing in Medical Education. WestJEM. 2018;20(1): 78-86. doi:10.5811/westjem.2018.11.39725

Johnson M, Lapkin S, Long V, et al. A systematic review of speech recognition technology in health care. BMC Med Inform Decis Mak. 2014;14(1): 94. doi:10.1186/1472-6947-14-94

Youssef Y, De Wet D, Back DA, et al. Digitalization in orthopaedics: a narrative review. Front Surg. 2024;10: 1325423. doi:10.3389/fsurg.2023.1325423

Alowais SA, Alghamdi SS, Alsuhebany N, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23(1): 689. doi:10.1186/s12909-023-04698-z

Secinaro S, Calandra D, Secinaro A, et al. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21(1): 125. doi:10.1186/s12911-021-01488-9

Manuel Román-Belmonte J, De La Corte-Rodríguez H, Adriana Rodríguez-Damiani B, et al. Artificial Intelligence in Musculoskeletal Conditions. In: P. Stawicki S, ed. Artificial Intelligence. Vol 19. IntechOpen; 2023. doi:10.5772/intechopen.110696

Verghese A, Shah NH, Harrington RA. What This Computer Needs Is a Physician: Humanism and Artificial Intelligence. JAMA. 2018;319(1): 19. doi:10.1001/jama.2017.19198

Ali O, Abdelbaki W, Shrestha A, et al. A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge. 2023;8(1): 100333. doi:10.1016/j.jik.2023.100333

Sim J ah, Huang X, Horan MR, et al. Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review. Artificial Intelligence in Medicine. 2023;146: 102701. doi:10.1016/j.artmed.2023.102701

Idnay B, Dreisbach C, Weng C, et al. A systematic review on natural language processing systems for eligibility prescreening in clinical research. Journal of the American Medical Informatics Association. 2021;29(1): 197-206. doi:10.1093/jamia/ocab228

Giorgino R, Alessandri-Bonetti M, Luca A, et al. ChatGPT in orthopedics: a narrative review exploring the potential of artificial intelligence in orthopedic practice. Front Surg. 2023;10: 1284015. doi:10.3389/fsurg.2023.1284015

Biswas A, Talukdar W. Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation. Published online 2024. doi:10.48550/ARXIV.2405.18346

Majid N, Lee S, Plummer V. The effectiveness of orthopedic patient education in improving patient outcomes: a systematic review protocol: JBI Database of Systematic Reviews and Implementation Reports. 2015;13(1): 122-133. doi:10.11124/jbisrir-2015-1950

Stafie CS, Sufaru IG, Ghiciuc CM, et al. Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review. Diagnostics. 2023;13(12): 1995. doi:10.3390/diagnostics13121995

Islam MdR, Urmi TJ, Mosharrafa RA, et al. Role of ChatGPT in health science and research: A correspondence addressing potential application. Health Science Reports. 2023;6(10): e1625. doi:10.1002/hsr2.1625

Al Kuwaiti A, Nazer K, Al-Reedy A, et al. A Review of the Role of Artificial Intelligence in Healthcare. JPM. 2023;13(6): 951. doi:10.3390/jpm13060951

Kavolus JJ, Moverman MA, Karas V, et al. Patient Engagement Technologies in Orthopaedics: What They Are, What They Offer, and Impact. J Am Acad Orthop Surg. Published online April 7, 2021. doi:10.5435/JAAOS-D-20-00585

Piette JD, Newman S, Krein SL, et al. Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: A Randomized Comparative Effectiveness Trial. JAMA Intern Med. 2022;182(9): 975. doi:10.1001/jamainternmed.2022.3178

Sauerbrei A, Kerasidou A, Lucivero F, et al. The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions. BMC Med Inform Decis Mak. 2023;23(1): 73. doi:10.1186/s12911-023-02162-y

Batailler C, Shatrov J, Sappey-Marinier E, et al. Artificial intelligence in knee arthroplasty: current concept of the available clinical applications. Arthroplasty. 2022;4(1): 17. doi:10.1186/s42836-022-00119-6

Chen Y, Clayton EW, Novak LL, et al. Human-Centered Design to Address Biases in Artificial Intelligence. J Med Internet Res. 2023;25: e43251. doi:10.2196/43251

Dijkstra H, Van De Kuit A, De Groot T, et al. Systematic review of machine-learning models in orthopaedic trauma: an overview and quality assessment of 45 studies. Van Den Bekerom M, Calderon SL, Colaris J, et al., eds. Bone Jt Open. 2024;5(1): 9-19. doi:10.1302/2633-1462.51.BJO-2023-0095.R1

Tan S, Xin X, Wu D. ChatGPT in medicine: prospects and challenges: a review article. International Journal of Surgery. Published online March 19, 2024. doi:10.1097/JS9.0000000000001312

Lalehzarian SP, Gowd AK, Liu JN. Machine learning in orthopaedic surgery. WJO. 2021;12(9): 685-699. doi:10.5312/wjo.v12.i9.685

Chatterjee S, Bhattacharya M, Pal S, et al. ChatGPT and large language models in orthopedics: from education and surgery to research. J exp orthop. 2023;10(1): 128. doi:10.1186/s40634-023-00700-1

Piyush Mathur, Mishra S, Raghav Awasthi, et al. Artificial Intelligence in Healthcare: 2021 Year in Review. Published online 2022. doi:10.13140/RG.2.2.25350.24645/1

Farhadi F, Barnes MR, Sugito HR, et al. Applications of artificial intelligence in orthopaedic surgery. Front Med Technol. 2022;4:995526. doi:10.3389/fmedt.2022.995526

Pavuluri S, Sangal R, Sather J, et al. Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics. BMJ Health Care Inform. 2024;31(1): e101120. doi:10.1136/bmjhci-2024-101120

Kurmis AP, Ianunzio JR. Artificial intelligence in orthopedic surgery: evolution, current state and future directions. Arthroplasty. 2022;4(1): 9. doi:10.1186/s42836-022-00112-z

Milne-Ives M, De Cock C, Lim E, et al. The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review. J Med Internet Res. 2020;22(10): e20346. doi:10.2196/20346

Pandey B, Chakraborty S, Kumar V. Role of artificial intelligence in health communication: With special reference to smartwatch technology. ijhs. Published online May 26, 2022: 11872-11892. doi:10.53730/ijhs.v6nS1.7952

Wang C, Zhang J, Lassi N, et al. Privacy Protection in Using Artificial Intelligence for Healthcare: Chinese Regulation in Comparative Perspective. Healthcare. 2022;10(10): 1878. doi:10.3390/healthcare10101878

Tian C, Gao Y, Rui C, et al. Artificial intelligence in orthopaedic trauma. EngMedicine. 2024;1(2): 100020. doi:10.1016/j.engmed.2024.100020

Lanotte F, O’Brien MK, Jayaraman A. AI in Rehabilitation Medicine: Opportunities and Challenges. Ann Rehabil Med. 2023;47(6): 444-458. doi:10.5535/arm.23131

Javaid M, Haleem A, Singh RP. ChatGPT for healthcare services: An emerging stage for an innovative perspective. BenchCouncil Transactions on Benchmarks, Standards and Evaluations. 2023;3(1): 100105. doi:10.1016/j.tbench.2023.100105

Noman AA, Fahim MIA, Tonny TS, et al. Harnessing the potential of ChatGPT in pharmacy management: a concise review. Explor Digit Health Technol. 2024;2(5): 259-270. doi:10.37349/edht.2024.00026

Walker HL, Ghani S, Kuemmerli C, et al. Reliability of Medical Information Provided by ChatGPT: Assessment Against Clinical Guidelines and Patient Information Quality Instrument. J Med Internet Res. 2023;25: e47479. doi:10.2196/47479

Poon EG, Trent Rosenbloom S, Zheng K. Health information technology and clinician burnout: Current understanding, emerging solutions, and future directions. Journal of the American Medical Informatics Association. 2021;28(5): 895-898. doi:10.1093/jamia/ocab058

Scheder-Bieschin J, Blümke B, De Buijzer E, et al. Improving Emergency Department Patient-Physician Conversation Through an Artificial Intelligence Symptom-Taking Tool: Mixed Methods Pilot Observational Study. JMIR Form Res. 2022;6(2): e28199. doi:10.2196/28199

Rezaei T, Jafari Khouzani P, Jafari Khouzani S, et al. Integrating Artificial Intelligence into Telemedicine: Revolutionizing Healthcare Delivery. Published online October 1, 2023. doi:10.5281/ZENODO.8395812

MacIntyre MR, Cockerill RG, Mirza OF, et al. Ethical considerations for the use of artificial intelligence in medical decision-making capacity assessments. Psychiatry Research. 2023;328: 115466. doi:10.1016/j.psychres.2023.115466

European Commission. Joint Research Centre. Artificial Intelligence in Medicine and Healthcare: Applications, Availability and Societal Impact. Publications Office; 2020. doi:10.2760/047666

Myers TG, Ramkumar PN, Ricciardi BF, et al. Artificial Intelligence and Orthopaedics: An Introduction for Clinicians. Journal of Bone and Joint Surgery. 2020;102(9): 830-840. doi:10.2106/JBJS.19.01128

Panchmatia JR, Visenio MR, Panch T. The role of artificial intelligence in orthopaedic surgery. Br J Hosp Med. 2018;79(12): 676-681. doi:10.12968/hmed.2018.79.12.676

Zhang P, Kamel Boulos MN. Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges. Future Internet. 2023;15(9): 286. doi:10.3390/fi15090286

Tafat W, Budka M, McDonald D, et al. Artificial intelligence in orthopaedic surgery: A comprehensive review of current innovations and future directions. Computational and Structural Biotechnology Reports. 2024;1: 100006. doi:10.1016/j.csbr.2024.100006

Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1): 44-56. doi:10.1038/s41591-018-0300-7

Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4): 230-243. doi:10.1136/svn-2017-000101

Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthcare Journal. 2019;6(2): 94-98. doi:10.7861/futurehosp.6-2-94

Svedberg P, Reed J, Nilsen P, et al. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Res Protoc. 2022;11(3): e34920. doi:10.2196/34920

Department of Computer Science, Adeyemi College of Education, Ondo, Nigeria, Iroju OG, Olaleke JO. A Systematic Review of Natural Language Processing in Healthcare. IJITCS. 2015;7(8): 44-50. doi:10.5815/ijitcs.2015.08.07

Karalis VD. The Integration of Artificial Intelligence into Clinical Practice. Applied Biosciences. 2024;3(1): 14-44. doi:10.3390/applbiosci3010002

Shah MK, Gandrakota N, Cimiotti JP, et al. Prevalence of and Factors Associated With Nurse Burnout in the US. JAMA Netw Open. 2021;4(2): e2036469. doi:10.1001/jamanetworkopen.2020.36469

Chary M, Parikh S, Manini A, et al. A Review of Natural Language Processing in Medical Education. WestJEM. 2018;20(1): 78-86. doi:10.5811/westjem.2018.11.39725

Johnson M, Lapkin S, Long V, et al. A systematic review of speech recognition technology in health care. BMC Med Inform Decis Mak. 2014;14(1): 94. doi:10.1186/1472-6947-14-94

Youssef Y, De Wet D, Back DA, et al. Digitalization in orthopaedics: a narrative review. Front Surg. 2024;10: 1325423. doi:10.3389/fsurg.2023.1325423

Alowais SA, Alghamdi SS, Alsuhebany N, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23(1): 689. doi:10.1186/s12909-023-04698-z

Secinaro S, Calandra D, Secinaro A, et al. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21(1): 125. doi:10.1186/s12911-021-01488-9

Manuel Román-Belmonte J, De La Corte-Rodríguez H, Adriana Rodríguez-Damiani B, et al. Artificial Intelligence in Musculoskeletal Conditions. In: P. Stawicki S, ed. Artificial Intelligence. Vol 19. IntechOpen; 2023. doi:10.5772/intechopen.110696

Verghese A, Shah NH, Harrington RA. What This Computer Needs Is a Physician: Humanism and Artificial Intelligence. JAMA. 2018;319(1): 19. doi:10.1001/jama.2017.19198

Ali O, Abdelbaki W, Shrestha A, et al. A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge. 2023;8(1): 100333. doi:10.1016/j.jik.2023.100333

Sim J ah, Huang X, Horan MR, et al. Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review. Artificial Intelligence in Medicine. 2023;146: 102701. doi:10.1016/j.artmed.2023.102701

Idnay B, Dreisbach C, Weng C, et al. A systematic review on natural language processing systems for eligibility prescreening in clinical research. Journal of the American Medical Informatics Association. 2021;29(1): 197-206. doi:10.1093/jamia/ocab228

Giorgino R, Alessandri-Bonetti M, Luca A, et al. ChatGPT in orthopedics: a narrative review exploring the potential of artificial intelligence in orthopedic practice. Front Surg. 2023;10: 1284015. doi:10.3389/fsurg.2023.1284015

Biswas A, Talukdar W. Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation. Published online 2024. doi:10.48550/ARXIV.2405.18346

Majid N, Lee S, Plummer V. The effectiveness of orthopedic patient education in improving patient outcomes: a systematic review protocol: JBI Database of Systematic Reviews and Implementation Reports. 2015;13(1): 122-133. doi:10.11124/jbisrir-2015-1950

Stafie CS, Sufaru IG, Ghiciuc CM, et al. Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review. Diagnostics. 2023;13(12): 1995. doi:10.3390/diagnostics13121995

Islam MdR, Urmi TJ, Mosharrafa RA, et al. Role of ChatGPT in health science and research: A correspondence addressing potential application. Health Science Reports. 2023;6(10): e1625. doi:10.1002/hsr2.1625

Al Kuwaiti A, Nazer K, Al-Reedy A, et al. A Review of the Role of Artificial Intelligence in Healthcare. JPM. 2023;13(6): 951. doi:10.3390/jpm13060951

Kavolus JJ, Moverman MA, Karas V, et al. Patient Engagement Technologies in Orthopaedics: What They Are, What They Offer, and Impact. J Am Acad Orthop Surg. Published online April 7, 2021. doi:10.5435/JAAOS-D-20-00585

Piette JD, Newman S, Krein SL, et al. Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: A Randomized Comparative Effectiveness Trial. JAMA Intern Med. 2022;182(9): 975. doi:10.1001/jamainternmed.2022.3178

Sauerbrei A, Kerasidou A, Lucivero F, et al. The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions. BMC Med Inform Decis Mak. 2023;23(1): 73. doi:10.1186/s12911-023-02162-y

Batailler C, Shatrov J, Sappey-Marinier E, et al. Artificial intelligence in knee arthroplasty: current concept of the available clinical applications. Arthroplasty. 2022;4(1): 17. doi:10.1186/s42836-022-00119-6

Chen Y, Clayton EW, Novak LL, et al. Human-Centered Design to Address Biases in Artificial Intelligence. J Med Internet Res. 2023;25: e43251. doi:10.2196/43251

Dijkstra H, Van De Kuit A, De Groot T, et al. Systematic review of machine-learning models in orthopaedic trauma: an overview and quality assessment of 45 studies. Van Den Bekerom M, Calderon SL, Colaris J, et al., eds. Bone Jt Open. 2024;5(1): 9-19. doi:10.1302/2633-1462.51.BJO-2023-0095.R1

Tan S, Xin X, Wu D. ChatGPT in medicine: prospects and challenges: a review article. International Journal of Surgery. Published online March 19, 2024. doi:10.1097/JS9.0000000000001312

Lalehzarian SP, Gowd AK, Liu JN. Machine learning in orthopaedic surgery. WJO. 2021;12(9): 685-699. doi:10.5312/wjo.v12.i9.685

Chatterjee S, Bhattacharya M, Pal S, et al. ChatGPT and large language models in orthopedics: from education and surgery to research. J exp orthop. 2023;10(1): 128. doi:10.1186/s40634-023-00700-1

Piyush Mathur, Mishra S, Raghav Awasthi, et al. Artificial Intelligence in Healthcare: 2021 Year in Review. Published online 2022. doi:10.13140/RG.2.2.25350.24645/1

Farhadi F, Barnes MR, Sugito HR, et al. Applications of artificial intelligence in orthopaedic surgery. Front Med Technol. 2022;4:995526. doi:10.3389/fmedt.2022.995526

Pavuluri S, Sangal R, Sather J, et al. Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics. BMJ Health Care Inform. 2024;31(1): e101120. doi:10.1136/bmjhci-2024-101120

Kurmis AP, Ianunzio JR. Artificial intelligence in orthopedic surgery: evolution, current state and future directions. Arthroplasty. 2022;4(1): 9. doi:10.1186/s42836-022-00112-z

Milne-Ives M, De Cock C, Lim E, et al. The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review. J Med Internet Res. 2020;22(10): e20346. doi:10.2196/20346

Pandey B, Chakraborty S, Kumar V. Role of artificial intelligence in health communication: With special reference to smartwatch technology. ijhs. Published online May 26, 2022: 11872-11892. doi:10.53730/ijhs.v6nS1.7952

Wang C, Zhang J, Lassi N, et al. Privacy Protection in Using Artificial Intelligence for Healthcare: Chinese Regulation in Comparative Perspective. Healthcare. 2022;10(10): 1878. doi:10.3390/healthcare10101878

Tian C, Gao Y, Rui C, et al. Artificial intelligence in orthopaedic trauma. EngMedicine. 2024;1(2): 100020. doi:10.1016/j.engmed.2024.100020

Lanotte F, O’Brien MK, Jayaraman A. AI in Rehabilitation Medicine: Opportunities and Challenges. Ann Rehabil Med. 2023;47(6): 444-458. doi:10.5535/arm.23131

Javaid M, Haleem A, Singh RP. ChatGPT for healthcare services: An emerging stage for an innovative perspective. BenchCouncil Transactions on Benchmarks, Standards and Evaluations. 2023;3(1): 100105. doi:10.1016/j.tbench.2023.100105

Noman AA, Fahim MIA, Tonny TS, et al. Harnessing the potential of ChatGPT in pharmacy management: a concise review. Explor Digit Health Technol. 2024;2(5): 259-270. doi:10.37349/edht.2024.00026

Walker HL, Ghani S, Kuemmerli C, et al. Reliability of Medical Information Provided by ChatGPT: Assessment Against Clinical Guidelines and Patient Information Quality Instrument. J Med Internet Res. 2023;25: e47479. doi:10.2196/47479

Poon EG, Trent Rosenbloom S, Zheng K. Health information technology and clinician burnout: Current understanding, emerging solutions, and future directions. Journal of the American Medical Informatics Association. 2021;28(5): 895-898. doi:10.1093/jamia/ocab058

Scheder-Bieschin J, Blümke B, De Buijzer E, et al. Improving Emergency Department Patient-Physician Conversation Through an Artificial Intelligence Symptom-Taking Tool: Mixed Methods Pilot Observational Study. JMIR Form Res. 2022;6(2): e28199. doi:10.2196/28199

Rezaei T, Jafari Khouzani P, Jafari Khouzani S, et al. Integrating Artificial Intelligence into Telemedicine: Revolutionizing Healthcare Delivery. Published online October 1, 2023. doi:10.5281/ZENODO.8395812

MacIntyre MR, Cockerill RG, Mirza OF, et al. Ethical considerations for the use of artificial intelligence in medical decision-making capacity assessments. Psychiatry Research. 2023;328: 115466. doi:10.1016/j.psychres.2023.115466

European Commission. Joint Research Centre. Artificial Intelligence in Medicine and Healthcare: Applications, Availability and Societal Impact. Publications Office; 2020. doi:10.2760/047666