Evaluation High-Quality of Information from ChatGPT (Artificial Intelligence-Large Language Model) Artificial Intelligence on Shoulder Stabilization Surgery.
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2024-03
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Abstract
Purpose
To analyze the quality and readability of information regarding shoulder stabilization surgery available using an online AI software (ChatGPT), using standardized scoring systems, as well as to report on the given answers by the AI.Methods
An open AI model (ChatGPT) was used to answer 23 commonly asked questions from patients on shoulder stabilization surgery. These answers were evaluated for medical accuracy, quality, and readability using The JAMA Benchmark criteria, DISCERN score, Flesch-Kincaid Reading Ease Score (FRES) & Grade Level (FKGL).Results
The JAMA Benchmark criteria score was 0, which is the lowest score, indicating no reliable resources cited. The DISCERN score was 60, which is considered a good score. The areas that open AI model did not achieve full marks were also related to the lack of available source material used to compile the answers, and finally some shortcomings with information not fully supported by the literature. The FRES was 26.2, and the FKGL was considered to be that of a college graduate.Conclusions
There was generally high quality in the answers given on questions relating to shoulder stabilization surgery, but there was a high reading level required to comprehend the information presented. However, it is unclear where the answers came from with no source material cited. It is important to note that the ChatGPT software repeatedly references the need to discuss these questions with an orthopaedic surgeon and the importance of shared discussion making, as well as compliance with surgeon treatment recommendations.Clinical relevance
As shoulder instability is an injury that predominantly affects younger individuals who may use the Internet for information, this study shows what information patients may be getting online.Type
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Hurley, Eoghan T, Bryan S Crook, Samuel G Lorentz, Richard M Danilkowicz, Brian C Lau, Dean C Taylor, Jonathan F Dickens, Oke Anakwenze, et al. (2024). Evaluation High-Quality of Information from ChatGPT (Artificial Intelligence-Large Language Model) Artificial Intelligence on Shoulder Stabilization Surgery. Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association, 40(3). pp. 726–731.e6. 10.1016/j.arthro.2023.07.048 Retrieved from https://hdl.handle.net/10161/30373.
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Scholars@Duke
Dean Curtis Taylor
Dr. Dean Taylor is a Sports Medicine Orthopaedic Surgeon whose practice and research interests include shoulder instability, shoulder arthroscopy, knee ligament injuries, meniscus injuries, knee cartilage injuries, and ACL injuries in adults and children. He attended the United States Military Academy at West Point and completed his medical training and residency at Duke University. Dr. Taylor went on to be a part of the John Feagin West Point Sports Medicine Fellowship, retired from the United States Army at the rank of Colonel, and returned to Duke in 2006.
Jonathan F Dickens
Oke Adrian Anakwenze
Complex shoulder and elbow surgeon, researcher and innovator.
Christopher Scott Klifto
Christopher S. Klifto grew up outside Philadelphia. He graduated from Carnegie Mellon University where he received a degree in Chemical and Biomechanical Engineering. He received his medical degree from Rutgers-Robert Wood Johnson Medical School, and completed his Orthopaedic residency and Hand and Upper Extremity fellowship at NYU- Hospital for Joint Diseases.
Dr. Klifto is an orthopaedic surgeon specializing in upper extremity. He treats orthopaedic conditions for the shoulder and elbow including arthritis, rotator cuff injuries, labral tears, frozen shoulder, sports injuries, fractures, tendon injuries, cubital tunnel syndrome. He treats patients both conservatively and surgically; meeting with each patient, hearing their goals and determining the best plan of care together. He specializes in shoulder surgeries such as reverse total shoulder arthroplasty, anatomic shoulder arthroplasty and shoulder hemiarthroplasty. He also performs rotator cuff repair, shoulder labral reconstruction, and shoulder arthroscopy. He treats upper extremity fractures including shoulder and clavicle, humeral shaft, and elbow injuries. He chose orthopaedics from having injuries himself over the years, so he understands what patients are going through when they see him and treat them with as much compassion and respect as possible. "I am very involved in Research, with a particular focus in the shoulder. The research here at Duke is second to none; the best minds are here in one area, all collaborating and trying to figure out how to get better. The most gratifying part of my job is to see patients get back to the level of activity where they would like to be.”
He is a Clinical Associate Professor at Duke University. He has published articles in nationally recognized publications on many conditions of the upper extremity and continues to actively conduct clinical research and contribute to national textbooks.
Dr. Klifto serves as the division lead of shoulder and elbow surgery at the Durham VA in addition to his clinical practice at Duke Orthopaedics/North Carolina Orthopaedic Clinic.
Dr. Klifto lives in Durham with his wife Meredith, an Ophthalmologist. He has three wonderful daughters (Madeline, Anna, and Grace) and a labradoodle named Goose that are the joys of his life. He enjoys golf, fishing, skiing, tennis, kite boarding and professional and collegiate sports.
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