Assessing the Efficacy of an AI-Powered Chatbot (ChatGPT) in Providing Information on Orthopedic Surgeries: A Comparative Study With Expert Opinion. (Record no. 14644)
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| fixed length control field | 03285nam a22003737a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240117s20242024 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 2168-8184 |
| 024 ## - OTHER STANDARD IDENTIFIER | |
| Standard number or code | PMC11283313 [pmc] |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | Ovid MEDLINE(R) |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| PMID | 39070516 |
| 245 ## - TITLE STATEMENT | |
| Title | Assessing the Efficacy of an AI-Powered Chatbot (ChatGPT) in Providing Information on Orthopedic Surgeries: A Comparative Study With Expert Opinion. |
| 251 ## - Source | |
| Source | Cureus. 16(6):e63287, 2024 Jun. |
| 252 ## - Abbreviated Source | |
| Abbreviated source | Cureus. 16(6):e63287, 2024 Jun. |
| 253 ## - Journal Name | |
| Journal name | Cureus |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Year | 2024 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Manufacturer | FY2024 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Publication date | 2024 Jun |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] | |
| Publication status | epublish |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] | |
| Medline status | PubMed-not-MEDLINE |
| 266 ## - Date added to catalog | |
| Date Medline record created | 2024/07/29 05:31 |
| 520 ## - SUMMARY, ETC. | |
| Abstract | Background The use of artificial intelligence (AI) as a tool for patient care has continued to rapidly expand. The technology has proven its utility in various applications across several specialties in a variety of applications. However, its practicality in orthopedics remains widely unknown. This study seeks to determine if the open-access software Chat Generative Pre-Trained Transformer (ChatGPT) can be a reliable source of data for patients. Questions/purposes This study aims to determine: (1) Is the open-access AI software ChatGPT capable of accurately answering commonly posed patient questions? (2) Will there be a significant difference in agreement among the study experts in the answers generated by ChatGPT? Methods A standard list of questions for six different procedures across six subspecialties is posed to ChatGPT. The procedures chosen were anterior cruciate ligament (ACL) reconstruction, microdiscectomy, total hip arthroplasty (THA), rotator cuff repair, carpal tunnel release, and ankle fracture open reduction and internal fixation. The generated answers are then compared to expert opinion using a Likert scale based on the agreement of the aforementioned experts. Results On a three-point Likert scale with 1 being disagree and 3 being agree, the mean score across all subspecialties is 2.43, indicating at least partial agreement with expert opinion. There was no significant difference in the Likert scale mean across the six subspecialties surveyed (p = 0.177). Conclusions This study shows promise in using ChatGPT as an aid in answering patient questions regarding their surgical procedures. This opens doors for the use of the software by patients for understanding and increased shared decision-making with their surgeons. However, studies with larger participation groups are necessary to ensure accuracy on a larger and broader scale as well as studies involving specific application of AI within surgeon's practice. Copyright © 2024, Smith et al. |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Indexing | Automated |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Institution | MedStar Washington Hospital Center |
| 656 ## - INDEX TERM--OCCUPATION | |
| Department | MedStar Georgetown University Hospital/MedStar Washington Hospital Center |
| 656 ## - INDEX TERM--OCCUPATION | |
| Department | Orthopaedic Surgery Residency A |
| 656 ## - INDEX TERM--OCCUPATION | |
| Department | Orthopedics and Sports Medicine |
| 657 ## - INDEX TERM--FUNCTION | |
| Medline publication type | Journal Article |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Local Authors | Argintar, Evan H |
| Institution Code | MWHC |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Local Authors | Jacquez, Evan |
| Institution Code | MGUH |
| Program | Orthopaedic Surgery Residency |
| Degree | MD |
| 790 ## - Authors | |
| All authors | Smith AM , Jacquez EA , Argintar EH |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| DOI | <a href="https://dx.doi.org/10.7759/cureus.63287">https://dx.doi.org/10.7759/cureus.63287</a> |
| Public note | https://dx.doi.org/10.7759/cureus.63287 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Item type description | Article |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection | Home library | Current library | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10/17/2024 | 39070516 | 39070516 | 10/17/2024 | 10/17/2024 | Journal Article |