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Personalized Medicine in Orthopaedics, 2nd Edition
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Personalized Medicine in Orthopaedics, 2nd Edition

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 4126

Special Issue Editors

Dr. Arne Kienzle

E-Mail Website
Guest Editor
Center for Musculoskeletal Surgery, Clinic for Orthopedics, Charité University Hospital Berlin, Berlin, Germany
Interests: orthopedic surgery; knee arthroplasty; bone metabolism; periprosthetic joint infections
Special Issues, Collections and Topics in MDPI journals
Dr. Henrik Bäcker

E-Mail Website
Guest Editor
Auckland City Hospital, 2 Park Road, Grafton, Auckland 1023, New Zealand
Interests: sport medicine; orthopaedic surgery; traumatology; spine surgery; foot and ankle
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nowadays, personalized medicine is relevant for the treatment of orthopedic patients and will continue to become more relevant for increasing accuracy and improving functional outcome. Both in conservative as well as operative treatment approaches, patient-tailored therapy regimens are increasingly relevant. New technologies, including navigation and robotic surgery, implant designs, alignment conceptions, and non-operative treatments offer clinical decision makers a growing variety of options. Despite these advances, treatment is often still highly standardized and may ignore patient-specific characteristics. While in some cases previous research has shown mixed results, e.g., regarding individual arthroplasty implant design, the mechanisms of such a variety of patient responses are only partially understood. The goal of personalized orthopedic medicine should always be the optimization of the clinical and functional outcomes, and a lower complication rate.

For this Special Issue in the Journal of Personalized Medicine, we especially invite valuable contributions that aim to understand patient-specific clinical features and mechanisms of orthopedic diseases, investigating the complications of current treatments in specific patient populations, and hypothesizing risk stratification and tailored approaches to orthopedic diseases or post-operative complications.

We invite researchers to contribute with original research articles and reviews. Specific attention is dedicated to personalized approaches, risk factors, diagnosis and treatment of post-operative complications, controversial topics, experimental treatments and interventions.

Dr. Arne Kienzle
Dr. Henrik Bäcker
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • outcomes
  • orthopedic surgery
  • traumatology
  • radiography
  • complication

Published Papers (4 papers)

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Research

12 pages, 1486 KiB  
Article
Assessment of the Quality and Readability of Information Provided by ChatGPT in Relation to the Use of Platelet-Rich Plasma Therapy for Osteoarthritis
by Stephen Fahy, Marcel Niemann, Peter Böhm, Tobias Winkler and Stephan Oehme
J. Pers. Med. 2024, 14(5), 495; https://doi.org/10.3390/jpm14050495 - 8 May 2024
Viewed by 454
Abstract
Objective: This study aimed to evaluate the quality and readability of information generated by ChatGPT versions 3.5 and 4 concerning platelet-rich plasma (PRP) therapy in the management of knee osteoarthritis (OA), exploring whether large language models (LLMs) could play a significant role [...] Read more.
Objective: This study aimed to evaluate the quality and readability of information generated by ChatGPT versions 3.5 and 4 concerning platelet-rich plasma (PRP) therapy in the management of knee osteoarthritis (OA), exploring whether large language models (LLMs) could play a significant role in patient education. Design: A total of 23 common patient queries regarding the role of PRP therapy in knee OA management were presented to ChatGPT versions 3.5 and 4. The quality of the responses was assessed using the DISCERN criteria, and readability was evaluated using six established assessment tools. Results: Both ChatGPT versions 3.5 and 4 produced moderate quality information. The quality of information provided by ChatGPT version 4 was significantly better than version 3.5, with mean DISCERN scores of 48.74 and 44.59, respectively. Both models scored highly with respect to response relevance and had a consistent emphasis on the importance of shared decision making. However, both versions produced content significantly above the recommended 8th grade reading level for patient education materials (PEMs), with mean reading grade levels (RGLs) of 17.18 for ChatGPT version 3.5 and 16.36 for ChatGPT version 4, indicating a potential barrier to their utility in patient education. Conclusions: While ChatGPT versions 3.5 and 4 both demonstrated the capability to generate information of moderate quality regarding the role of PRP therapy for knee OA, the readability of the content remains a significant barrier to widespread usage, exceeding the recommended reading levels for PEMs. Although ChatGPT version 4 showed improvements in quality and source citation, future iterations must focus on producing more accessible content to serve as a viable resource in patient education. Collaboration between healthcare providers, patient organizations, and AI developers is crucial to ensure the generation of high quality, peer reviewed, and easily understandable information that supports informed healthcare decisions. Full article
(This article belongs to the Special Issue Personalized Medicine in Orthopaedics, 2nd Edition)
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11 pages, 1286 KiB  
Article
Assessment of Quality and Readability of Information Provided by ChatGPT in Relation to Anterior Cruciate Ligament Injury
by Stephen Fahy, Stephan Oehme, Danko Milinkovic, Tobias Jung and Benjamin Bartek
J. Pers. Med. 2024, 14(1), 104; https://doi.org/10.3390/jpm14010104 - 18 Jan 2024
Cited by 1 | Viewed by 1230
Abstract
The aim of our study was to evaluate the potential role of Artificial Intelligence tools like ChatGPT in patient education. To do this, we assessed both the quality and readability of information provided by ChatGPT 3.5 and 4 in relation to Anterior Cruciate [...] Read more.
The aim of our study was to evaluate the potential role of Artificial Intelligence tools like ChatGPT in patient education. To do this, we assessed both the quality and readability of information provided by ChatGPT 3.5 and 4 in relation to Anterior Cruciate Ligament (ACL) injury and treatment. ChatGPT 3.5 and 4 were used to answer common patient queries relating to ACL injuries and treatment. The quality of the information was assessed using the DISCERN criteria. Readability was assessed with the use of seven readability formulae: the Flesch–Kincaid Reading Grade Level, the Flesch Reading Ease Score, the Raygor Estimate, the SMOG, the Fry, the FORCAST, and the Gunning Fog. The mean reading grade level (RGL) was compared with the recommended 8th-grade reading level, the mean RGL among adults in America. The perceived quality and mean RGL of answers given by both ChatGPT 3.5 and 4 was also compared. Both ChatGPT 3.5 and 4 yielded DISCERN scores suggesting “good” quality of information, with ChatGPT 4 slightly outperforming 3.5. However, readability levels for both versions significantly exceeded the average 8th-grade reading level for American patients. ChatGPT 3.5 had a mean RGL of 18.08, while the mean RGL of ChatGPT 4 was 17.9, exceeding the average American reading grade level by 10.08 grade levels and 9.09 grade levels, respectively. While ChatGPT can provide both reliable and good quality information on ACL injuries and treatment options, the readability of the content may limit its utility. Additionally, the consistent lack of source citation represents a significant area of concern for patients and clinicians alike. If AI is to play a role in patient education, it must reliably produce information which is accurate, easily comprehensible, and clearly sourced. Full article
(This article belongs to the Special Issue Personalized Medicine in Orthopaedics, 2nd Edition)
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10 pages, 657 KiB  
Article
ChatGPT May Offer an Adequate Substitute for Informed Consent to Patients Prior to Total Knee Arthroplasty—Yet Caution Is Needed
by Arne Kienzle, Marcel Niemann, Sebastian Meller and Clemens Gwinner
J. Pers. Med. 2024, 14(1), 69; https://doi.org/10.3390/jpm14010069 - 5 Jan 2024
Cited by 1 | Viewed by 1214
Abstract
Prior to undergoing total knee arthroplasty (TKA), surgeons are often confronted with patients with numerous questions regarding the procedure and the recovery process. Due to limited staff resources and mounting individual workload, increased efficiency, e.g., using artificial intelligence (AI), is of increasing interest. [...] Read more.
Prior to undergoing total knee arthroplasty (TKA), surgeons are often confronted with patients with numerous questions regarding the procedure and the recovery process. Due to limited staff resources and mounting individual workload, increased efficiency, e.g., using artificial intelligence (AI), is of increasing interest. We comprehensively evaluated ChatGPT’s orthopedic responses using the DISCERN instrument. Three independent orthopedic surgeons rated the responses across various criteria. We found consistently high scores, predominantly exceeding a score of three out of five in almost all categories, indicative of the quality and accuracy of the information provided. Notably, the AI demonstrated proficiency in conveying precise and reliable information on orthopedic topics. However, a notable observation pertains to the generation of non-existing references for certain claims. This study underscores the significance of critically evaluating references provided by ChatGPT and emphasizes the necessity of cross-referencing information from established sources. Overall, the findings contribute valuable insights into the performance of ChatGPT in delivering accurate orthopedic information for patients in clinical use while shedding light on areas warranting further refinement. Future iterations of natural language processing systems may be able to replace, in part or in entirety, the preoperative interactions, thereby optimizing the efficiency, accessibility, and standardization of patient communication. Full article
(This article belongs to the Special Issue Personalized Medicine in Orthopaedics, 2nd Edition)
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10 pages, 220 KiB  
Article
Shoulder Pain and Disability Scores and the Factors Influencing Them among Orthopedic Surgeons Working in the Kingdom of Saudi Arabia: A Cross-Sectional Study
by Faya Ali Asiri, Abdulrhman Abdullh Alqhtani, Abdullah Hassan Assiri, Mohammed Hassan Alqahtani, Dhuha Saeed Motlag, Jaya Shanker Tedla and Saad Ali Alwadai
J. Pers. Med. 2024, 14(1), 55; https://doi.org/10.3390/jpm14010055 - 30 Dec 2023
Viewed by 915
Abstract
(1) Background: Musculoskeletal pain is common among orthopedic surgeons. Their common musculoskeletal issues include shoulder pain and disability. Many associated factors could lead to this pain and disability; by identifying these, we can prevent orthopedic surgeons’ pain and improve their functional capacity. (2) [...] Read more.
(1) Background: Musculoskeletal pain is common among orthopedic surgeons. Their common musculoskeletal issues include shoulder pain and disability. Many associated factors could lead to this pain and disability; by identifying these, we can prevent orthopedic surgeons’ pain and improve their functional capacity. (2) Methods: This study aimed to gather quantitative data regarding the shoulder pain and disability experienced by orthopedic surgeons. It also aimed to explore the potential correlations between demographic characteristics and work-related factors and their pain and disability. This study interviewed 150 orthopedic surgeons working in the Kingdom of Saudi Arabia, asking questions on the Shoulder Pain and Disability Index (SPADI) scale and about their demographic characteristics. (3) Results: All interviewed orthopedic surgeons were male, married, and nonsmokers. Their SPADI pain subsection score was 25.24%, their SPADI disability subsection score was 21.25%, and their total SPADI score was 22.79%. Among the examined demographic characteristics, total SPADI scores have a significant positive correlation with body weight (Spearman’s ρ = 0.432; p < 0.05) and body mass index (BMI; ρ = 0.349; p < 0.05). (4) Conclusions: Our findings indicate that all orthopedic surgeons generally suffer from moderate shoulder pain and disability. Body weight and body mass index are important factors that may influence shoulder pain and disability among orthopedic surgeons. Full article
(This article belongs to the Special Issue Personalized Medicine in Orthopaedics, 2nd Edition)
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