Machine learning and deep learning for the diagnosis and treatment of ankylosing spondylitis- a scoping review.

Background and objectives: Machine Learning (ML) and Deep Learning (DL) are novel technologies that can facilitate early diagnosis of Ankylosing Spondylitis (AS) and predict better patient-specific treatments. We aim to provide the current update on their use at different stages of AS diagnosis and treatment, describe different types of techniques used, dataset descriptions, contributions and limitations of existing work and ed to identify gaps in current knowledge for future works. Methods: We curated the data of this review from the PubMed database. We searched the full-text articles related to the use of ML/DL in the diagnosis and treatment of AS, for the period 2013-2023. Each article was manually scrutinized to be included or excluded for this review as per its relevance. Results: This review revealed that ML/DL technology is useful to assist and promote early diagnosis through AS patient characteristic profile creation, and identification of new AS-related biomarkers. They can help in forecasting the progression of AS and predict treatment responses to aid patient-specific treatment planning. However, there was a lack of sufficient-sized datasets sourced from multi-centres containing different types of diagnostic parameters. Also, there is less research on ML/DL-based AS treatment as compared to ML/DL-based AS diagnosis. Conclusion: ML/DL can facilitate an early diagnosis and patient-tailored treatment for effective handling of AS. Benefits are especially higher in places with a lack of diagnostic resources and human experts. The use of ML/DL-trained models for AS diagnosis and treatment can provide the necessary support to the otherwise overwhelming healthcare systems in a cost-effective and timely way.

Effectiveness of AI-powered Chatbots in responding to orthopaedic postgraduate exam questions-an observational study.

PURPOSE: This study analyses the performance and proficiency of the three Artificial Intelligence (AI) generative chatbots (ChatGPT-3.5, ChatGPT-4.0, Bard Google AI®) and in answering the Multiple Choice Questions (MCQs) of postgraduate (PG) level orthopaedic qualifying examinations. METHODS: A series of 120 mock Single Best Answer' (SBA) MCQs with four possible options named A, B, C and D as answers on various musculoskeletal (MSK) conditions covering Trauma and Orthopaedic curricula were compiled. A standardised text prompt was used to generate and feed ChatGPT (both 3.5 and 4.0 versions) and Google Bard programs, which were then statistically analysed. RESULTS: Significant differences were found between responses from Chat GPT 3.5 with Chat GPT 4.0 (Chi square = 27.2, P < 0.001) and on comparing both Chat GPT 3.5 (Chi square = 63.852, P < 0.001) with Chat GPT 4.0 (Chi square = 44.246, P < 0.001) with. Bard Google AI® had 100% efficiency and was significantly more efficient than both Chat GPT 3.5 with Chat GPT 4.0 (p < 0.0001). CONCLUSION: The results demonstrate the variable potential of the different AI generative chatbots (Chat GPT 3.5, Chat GPT 4.0 and Bard Google) in their ability to answer the MCQ of PG-level orthopaedic qualifying examinations. Bard Google AI® has shown superior performance than both ChatGPT versions, underlining the potential of such large language processing models in processing and applying orthopaedic subspecialty knowledge at a PG level.

Global research output and highly-cited publications on prosthetic joint infections: A bibliometric analysis (2003-2022).

Backgroundand aims: Prosthetic Joint Infection (PJI) is a serious clinical problem after Arthroplasty. The research field on PJI is emerging, but there is a paucity of information on the most impactful publications on it. This prompted us to conduct a bibliometric analysis of the global research output, from 2003 to 2022, to identify the growth of publications, the key players in this research field and to evaluate the characteristics of highly-cited publications (HCPs) on the PJI. Methods: Publications related to PJI research were identified globally from the Scopus database, using specific keywords, covering the literature from 2003 to 2022. The HCPs were considered those with 100 or more citations. Information on publication year, citation count, funding sources, title, author, journal, country, institution, research area, and strategic keywords were collected from these HCPs. Publication data was imported into Microsoft Excel and analyzed further using VOSviewer and R software. Results: There were 182 HCPs (3.12%), which received a total citation of 124701 (average CPP of 21.41), with the citation range from 100 to 1921. Research articles were the most predominant publications (69.2%), but their average citations per paper (CPP) of 189.78 was lower than that of Review articles (average CPP: 253.17). The USA has been the leading country in terms of total publications (31.58%), and HCPs (36.99%), followed by Switzerland, Spain, UK and China. There were no HCPs from developing countries. J. Parvizi of Thomas Jefferson University, USA (with a total publications of 31 and an average CPP of 315.7), and W. Zimmerli of Basel University, Switzerland (with a TP of 11 and an average CPP of 341.9), were the most productive and impactful authors in PJI global research output. Conclusion: This bibliometric analysis identified the most productive and impactful authors, organizations, countries, and journals in the research of PJI, of the last two decades.

Artificial intelligence-based orthopaedic perpetual design.

Background and aims: Integrating Artificial Intelligence (AI) methodologies in orthopaedic surgeries is becoming increasingly important as it optimises implant designs and treatment procedures. This research article introduces an innovative approach using an AI-driven algorithm, focusing on the humerus bone anatomy. The primary focus of this work is to determine implant dimensions tailored to individual patients. Methodology: We have utilised Python's DICOM library, which extracts rich information from medical images obtained through CT and MRI scans. The algorithm generates precise three-dimensional reconstructions of the bone, enabling a comprehensive understanding of its morphology. Results: Using algorithms that reconstructed 3D bone models to propose optimal implant geometries that adhere to patients' unique anatomical intricacies and cater to their functional requirements. Integrating AI techniques promotes enhanced implant designs that facilitate enhanced integration with the host bone, promoting improved patient outcomes. Conclusion: A notable breakthrough in this research is the ability of the algorithm to predict implant physical dimensions based on CT and MRI data. The algorithm can infer implant specifications that align with patient-specific bone characteristics by training the AI model on a diverse dataset. This approach could revolutionise orthopaedic surgery, reducing patient waiting times and the duration of medical interventions.

Upsurge in Indian publications in Orthopaedics and Sports Medicine.

There has been a substantial growth in India's publications in Orthopaedics and Sports Medicine in the last few years. In 2022, it ranked number one in South Asian Association for Regional Cooperation (SAARC) nations, number three among Asian countries, and number 14 globally. Its global contribution in the 1996-2022 period was 1.39%, as compared to 6.56% of China (4.72 times lesser), but this gap has reduced in 2022, where India's contribution increased to 2.82%, as compared to 6.32% from China (2.24 times lesser). More concrete efforts are needed to boost the research output from India to further enhance the quantum and quality of publications. It is recommended that adequate research funding and collaboration (national and international) is needed on priority to meet these demands and try to ensure that no good research is wasted, without a publication.

The pandemic is gone but its consequences are here to stay: avascular necrosis following corticosteroids administration for severe COVID-19.

BACKGROUND: In patients with COVID-19 infection and respiratory insufficiency, corticosteroid (CCS) administration is recommended. Among the wide range of complications and interactions, time-limited high-dose CCS administration might promote avascular necrosis (AVN) in a cumulative dose. This systematic review updated the current evidence and characterises the trend of AVN following time-limited high-dose CCS administration in patients who had severe COVID-19, discussing management strategies and outcomes. METHODS: This systematic review was conducted according to the 2020 PRISMA statement. In October 2023, the following databases were accessed: PubMed, Web of Science, Google Scholar, and Scopus restricting the search to the years 2019 to 2023. All the clinical studies which investigated the association between time-limited high-dose CCS administration in patients with severe COVID-19 infection and AVN were accessed. RESULTS: A total of 245 patients (9 studies) who experienced AVN following COVID-19 were included in the present investigation. 26% (63 of 245 included patients) were women. The mean age of the patients was 42.9 ± 17.7 years. Four studies focused on AVN of the hip and two on the knee, and the other studies included patients with AVN from mixed areas of the body (spine, pelvis, and shoulder). The mean time elapsed from COVID-19 infection to the development of symptomatic AVN was 79.4 ± 59.2 days (range, 14 to 166 days). CONCLUSION: It is possible that even time-limited high-dose CCS administration in patients with severe COVID-19 infection increased the incidence of AVN. The mean time elapsed from COVID-19 infection to the development of symptomatic AVN was approximately 80 days. Given the high risk of bias in all the included studies, the quality of recommendations of the present investigation is low, and no reliable conclusion can be inferred.

Trends in Meniscus-Related Publications in PubMed Since 1928: A Bibliometric Study.

Background: As information on the meniscus accumulates in PubMed, it is possible to evaluate the trends in research on the topic over time. Purpose: To evaluate the major trends in meniscus-related publications in PubMed from the earliest publication to the present day. Study Design: Cross-sectional study. Methods: PubMed was searched on January 3, 2023, using the search strategy "menisc *"[All Fields] AND ("knee"[MeSH Terms] OR "knee"[All Fields] OR "knee joint"[MeSH Terms] OR ("knee"[All Fields] AND "joint"[All Fields]) OR "knee joint"[All Fields]) AND 1900/01/01:2022/12/31[Date - Publication]. This retrieved 15,569 human and animal studies. We determined the top 10 meniscus-related publications in terms of overall citations and citations per year, as well as the top 10 authors, journals, countries, and institutions of cited publications on the meniscus. In addition, we performed word-cloud analyses based on meniscus-related terms from different periods (before 1981, before 2000, after 2005, and in the past 5 years [2018-2022]), including the year of first appearance and the number of publications featured. Results: Since the first recorded publication on the meniscus in 1928, there was a steady growth in the number of articles until 2005, when there was an upsurge in publications from 254 in 2005 to 955 in 2022. Noyes was the author with the most citations (n = 3314), and a 2006 study by Caplan and Dennis had the most citations per year (n = 125). Arthroscopy published the most articles on the meniscus with 1118, whereas the Journal of Cellular Biochemistry had the most citations per article with 125.69. The most published countries and institutes were the United States and the Hospital for Special Surgery, respectively. Word-cloud analysis of article titles showed that "meniscectomy" had become less prominent, and "root,""ramp,""transplantation," and "slope" had become more prominent. Conclusion: There has been an upsurge in publications on the meniscus since 2005, with word-cloud analysis indicating shifting interests in meniscus-related research.

Hand grip strength as a proposed new vital sign of health: a narrative review of evidences.

Hand grip strength (HGS) serves as a fundamental metric in assessing muscle function and overall physical capability and is particularly relevant to the ageing population. HGS holds an important connection to the concept of sarcopenia, which encompasses the age-related decline in muscle mass, strength, and function. It has also been reported to indicate the health of an individual. We reviewed the interplay between HGS and various health parameters, including morbidity and mortality, by carrying out a literature search on PubMed, Scopus and Google Scholar between 10 and 30 August 2023, to identify the relevant papers on the relationship between health and HGS. We used several keywords like 'hand grip strength', 'muscle strength, 'sarcopenia', 'osteosarcopenia', 'health biomarker', 'osteoporosis', and 'frailty', to derive the appropriate literature for this review. This review has shown that the HGS can be measured reliably with a hand-held dynamometer. The cut-off values are different in various populations. It is lower in Asians, women, less educated and privileged, and those involved in sedentary work. Several diseases have shown a correlation with low HGS, e.g., Type 2 diabetes, cardiovascular disease, stroke, chronic kidney and liver disease, some cancers, sarcopenia and fragility fractures. The low HSG is also associated with increased hospitalization, nutritional status, overall mortality and quality of life. We believe that there is adequate evidence to show that HGS stands as an important biomarker of health. Its utility extends to the identification of diverse health issues and its potential as a new vital sign throughout the lifespan.

Management of chondral and osteochondral lesions of the hip : A comprehensive review.

Chondral and osteochondral lesions encompass several acute or chronic defects of the articular cartilage and/or subchondral bone. These lesions can result from several different diseases and injuries, including osteochondritis dissecans, osteochondral defects, osteochondral fractures, subchondral bone osteonecrosis, and insufficiency fractures. As the cartilage has a low capacity for regeneration and self-repair, these lesions can progress to osteoarthritis. This study provides a comprehensive overview of the subject matter that it covers. PubMed, Scopus and Google Scholar were accessed using the following keywords: "chondral lesions/defects of the femoral head", "chondral/cartilage lesions/defects of the acetabulum", "chondral/cartilage lesions/defects of the hip", "osteochondral lesions of the femoral head", "osteochondral lesions of the acetabulum", "osteochondral lesions of the hip", "osteochondritis dissecans," "early osteoarthritis of the hip," and "early stage avascular necrosis". Hip osteochondral injuries can cause significant damage to the articular surface and diminish the quality of life. It can be difficult to treat such injuries, especially in patients who are young and active. Several methods are used to treat chondral and osteochondral injuries of the hip, such as mesenchymal stem cells and cell-based treatment, surgical repair, and microfractures. Realignment of bony anatomy may also be necessary for optimal outcomes. Despite several treatments being successful, there is a lack of head-to-head comparisons and large sample size studies in the current literature. Additional research will be required to provide appropriate clinical recommendations for treating chondral/osteochondral injuries of the hip joint.

Journal metrics of the top-ranked Orthopaedic, Medical, and Surgical journals - A cross-sectional, comparative study.

PURPOSE: In academic publishing, research metrics play a crucial role in assessing the scientific impact and performance of the published literature, as well as of the journals in which they are published. Several journal-level metrics (JLM) such as the h-index of the analysed journals, total citations, total documents, citable documents, references and external citations per document are considered crucial indicators of the importance and reputation of the journals. We hypothesize that journals in the field of Medicine receive more citations than those in Surgical journals like Orthopaedic surgery, and hence have better JLM. This study aims to to assess and compare the JLM of Medical and Surgical journals between two time zones 2017-2019 vs. 2020-2022, i.e., pre and post-COVID-19 pandemic period. METHODS: A cross-sectional bibliometric analysis of the top-ranked Orthopaedic, Medical, and Surgical journals was undertaken based on traditional JLM, using the SCImago database from 2017 to 2022. Our analysis focused on identifying trends in the h-index of the analysed journals, total citations, total documents, citable documents, references and external citations per document. RESULTS: Overall Medical journals were found to have higher JLM than the Surgical and Orthopaedic journals. The h-index of Surgical journals, Medical journals and Orthopaedic journals were comparable between the two periods (pre and -post-COVID-19 pandemic); Total Cites (3 years), total documents (2017), total documents (3 years), total references, and citable documents (3 years) of Surgical journals, Medical journals and Orthopaedic journals were significantly higher in the period 2020-2022. CONCLUSION: There has been a steady increase in the number of publications from post COVID-19 period. Medical journals have higher JLM than Surgical and Orthopaedic journals. Journal of Bone and Joint Surgery (Am), Annals of Surgery and Diabetes Care were the most published journals in Orthopaedics, General Surgery and Medicine-related topics respectively.

Research on Non-alcoholic Fatty Liver Disease From Indian Subcontinent: A Bibliometric Analysis of Publications During 2001-2022.

Introduction: The non-alcoholic fatty liver disease (NAFLD) is common in the Indian Subcontinent. We aimed to examine the bibliometric characteristics of the publications arising from the countries of the Indian Subcontinent on NAFLD, over the last two decades. Methods: Publications on NAFLD from Indian Subcontinent during the period of 2001-2022 were retrieved from the Scopus database. Various important bibliometric parameters were studied from the retrieved publications and were exported to MS-Excel for analysis. VOSviewer software was used for analyzing co-author collaborative networks and keyword co-occurrence networks. Results: There is a rising trend of publications, especially in the last decade, with an average annual growth of 28.95% and an absolute growth of 526.21% between 2013 and 2022, compared to 2001-2012. From Indian Subcontinent's authors, 1053 papers were indexed in Scopus, with the majority (81.3%) being from India. Indian Subcontinent holds 13th rank globally with 3.43% share of global output. External funding was received for 15.76% publications and 24.59% papers were prepared with international collaboration, and these received much higher citations per paper. Research output is low, only 3.43% of global share. Regional research cooperation among countries of Indian subcontinent is also poor. Further, only 3.61% of papers were highly cited. Conclusion: Despite a high prevalence of NAFLD in Indian Subcontinent, the research output is low and of low impact. Further, the research collaboration between these Indian Subcontinent needs improvement.

Global trend of publications in orthopaedics and sports medicine: 1996 - 2021.

We studied the publication trend in the field of orthopaedics and sports medicine over the last 25 years (1996 - 2021), by various countries, and regions of the world. There was an increasing trend in publications, across the globe. Some of the Asian countries like China, and India have shown a substantial growth in their research output. Europe continent has contributed the most publications in the last 25 years, whereas the United States as a country has been on the top of the list of contributors. Most research-publications came from high-income countries and disproportionately less from low- and middle-income countries.

Demystifying the Risk Factors and Preventive Measures for Osteoporosis.

Background: Osteoporosis is a major health problem, globally. It is characterized by structural bone weakness leading to an increased risk of fragility fractures. These fractures commonly affect the spine, hip and wrist bones. Consequently, Osteoporosis related proximal femur and vertebral fractures represent a substantial, growing social and economic burden on healthcare systems worldwide. Indentification of the risk factors, clinical risk assessment, utilization of risk assessment tools and appropriate management that play a crucial role in reducing the burden of Osteoporosis by tackling modifiable risk factors. Methods: This chapter explores various risk factors that are associated with Osteoporosis and provides an overview of various clinical and diagnostic risk assessment tools with a particular emphasis on evidence-based strategies for their prevention. Conclusion: The role of emerging technologies such as Artificial Intelligence (AI) and perspectives such as newer diagnostic modalities, monitoring and surveillance approaches in prevention of risk factors in the pathogenesis of Osteoporosis is highlighted.

Top 100 highly cited papers from India on COVID-19 research: A bibliometric analysis of the core literature.

BACKGROUND AND AIMS: This study aimed to assess the current status of India's COVID-19 research from the top 100 most cited papers, using bibliometrics methods and indicators and suggest strengths and weaknesses. METHODOLOGY: Publications on COVID-19 research from India between December 2019 and 22 August 2023 were retrieved from the Scopus database. From 37101 studies retrieved, the first top 100 Highly Cited Papers (HCPs) having received 270 to 2931 citations, were identified. RESULTS: The top 100 most cited Indian papers were published from 2020 to 2023, with the majority (75) in the year 2021, followed by 24 in 2022. They were cited a total of 56661 times (average - 566.61 times). The 242 authors of these HCPs were from 159 Indian organizations, and the articles were published in 60 journals. 29 % and 59 % of these HCPs received external funding support and were involved in international collaborations, respectively. There was poor collaboration among Indian research institutions and a dearth of funding from India. None of the Indian HCPs figured in the global 100 HCPs. CONCLUSIONS: Although citations of research papers published from India increased during COVID-19, limited collaboration, inadequate funding, and subpar publications hindered Indian scientists. To enhance India's research landscape, we propose dismantling barriers, nurturing collaboration, and encouraging knowledge exchange among domestic institutions.

Trends of Publications on Single- and Double-Bundle ACL Reconstructions over the Last 20 Years: A Bibliometric Analysis of the PubMed Literature.

Purpose: To improve the clinical outcomes of anterior cruciate ligament reconstruction (ACLR), there have been attempts to reproduce anatomic reconstruction by modifying the single-bundle (SB) and double-bundle (DB) techniques. Although DB ACLR restores better rotational control compared to SB ACLR, it is still debatable whether there are higher clinical outcomes in favor of DB ACLR. We aimed to study the trends of publications on SB and DB ACLR techniques over the last 20 years. Methods: For this bibliometric study, we performed a PubMed search on 31/05/2022 with a well-defined search strategy. The articles were downloaded into Excel software, and citations were determined from the iCite website for PubMed. The analysis was performed using SPSS software version 28.0.1. Data mining was performed using Orange software, Mac version 3.32.0, from the titles of all articles and each group of SB and DB ACLR. The output is presented as word clouds. Results: A total of 10,530 publications were identified, of which 9699 publications (92.1%) pertained to SB-ACLR and 831 publications (7.9%) to DB-ACLR. There was a steady increase in the publications on SB-ACLR until 2012, followed by a steep increase that peaked in 2021. The highest number of publications on DB-ACLR was in 2012 (n = 76; 9.1%). The mean citations per year for SB-ACLR and DB-ACLR were 2.87 ± 4.31 and 2.74 ± 3.17, respectively. The most prolific journals publishing on this topic were Knee Surgery Sports Traumatology Arthroscopy, American Journal of Sports Medicine, and Arthroscopy. The top three articles that received the maximum number of citations were from Japanese authors. Conclusion: The number of publications related to SB-ACLR was significantly higher than that related to DB-ACLR in the last 20 years. The publications related to DB-ACLR have decreased in the recent past, after reaching a peak in 2012. The citations per year of SB-ACLR and DB-ACLR were similar.

Artificial intelligence in foot and ankle surgery: current concepts.

The twenty-first century has proven that data are the new gold. Artificial intelligence (AI) driven technologies might potentially change the clinical practice in all medical specialities, including orthopedic surgery. AI has a broad spectrum of subcomponents, including machine learning, which consists of a subdivision called deep learning. AI has the potential to increase healthcare delivery, improve indications and interventions, and minimize errors. In orthopedic surgery. AI supports the surgeon in the evaluation of radiological images, training of surgical residents, and excellent performance of machine-assisted surgery. The AI algorithms improve the administrative and management processes of hospitals and clinics, electronic healthcare databases, monitoring the outcomes, and safety controls. AI models are being developed in nearly all orthopedic subspecialties, including arthroscopy, arthroplasty, tumor, spinal and pediatric surgery. The present study discusses current applications, limitations, and future prospective of AI in foot and ankle surgery.

Diabetes and tuberculosis syndemic in India: A narrative review of facts, gaps in care and challenges.

Both diabetes mellitus (DM) and tuberculosis (TB) are prevalent all across in India. TB-DM comorbidity has emerged as a syndemic and needs more attention in India considering gaps in screening, clinical care, and research. This paper is intended to review published literature on TB and DM in India to understand the burden of the dual epidemic and its trajectory and to obtain perspectives on the gaps, constraints, and challenges in care and treatment of this dual epidemic. A literature search was carried out on PubMed, Scopus, and Google Scholar, using the key words 'Tuberculosis' OR 'TB' AND 'Diabetes' OR 'Diabetes Mellitus' AND 'India', focusing on the research published between the year 2000 to 2022. The prevalence of DM is high in patients with TB. Quantitative data on the epidemiological situation of TB/DM in India such as incidence, prevalence, mortality, and management are lacking. During the last 2 years convergence of TB-DM syndemic with the COVID-19 pandemic has increased cases with uncontrolled DM but also made coordinated control of TB-DM operationally difficult and of low effectiveness. Research regarding TB-DM comorbidity is required in the context of epidemiology and management. Detection and bidirectional screening are aggressively warranted. Management of DM in those with TB-DM comorbidity needs more efforts, including training and supervision of frontline workers.

Scientometric analysis of highly cited papers on avascular necrosis of the femoral head from 1991 to 2022.

INTRODUCTION: A highly cited paper (HCP) is considered a landmark that can influence both research and clinical practice. The characteristics of HCPs in avascular necrosis of the femoral head (AVNFH) were identified and the research status was explored in a scientometric analysis. METHODS: The present bibliometric analysis were based on the Scopus database from 1991 to 2021. Microsoft Excel and VOSviewer were used for co-authorship, co-citation, and co-occurrence analysis. From 8496 papers, only 2.9% (244) were HCPs, with 200.8 citations registered per article. RESULTS: Of the HCPs, 11.9% and 12.3% were externally funded and had international collaboration, respectively. These were published in 84 journals by 1625 authors from 425 organizations of 33 countries. The USA, Japan, Switzerland, and Israel were the leading countries.The lead research organizations were Sinai Hospital and John Hopkins University (USA). The most impactful organizations were University of Arkansas for Medical Science, and Good Samaritan Hospital (USA). R.A. Mont (USA) and K.H. Koo (South Korea) were the most prolific contributing authors, while R. Ganz (Switzerland) and R.S. Weinstein (USA) registered the most impactful contributions. The most prolific publishing journal was the Journal of Bone and Joint Surgery. CONCLUSION: The HCPs contributed to the knowledge of AVNFH by examining research perspectives and identifying important subareas through keyword analysis. LEVEL OF EVIDENCE: Not applicable. TRIAL REGISTRATION: Not applicable.