Machine Learning-Assisted Decision Making in Orthopaedic Oncology.

¼ Artificial intelligence is an umbrella term for computational calculations that are designed to mimic human intelligence and problem-solving capabilities, although in the future, this may become an incomplete definition. Machine learning (ML) encompasses the development of algorithms or predictive models that generate outputs without explicit instructions, assisting in clinical predictions based on large data sets. Deep learning is a subset of ML that utilizes layers of networks that use various inter-relational connections to define and generalize data.¼ ML algorithms can enhance radiomics techniques for improved image evaluation and diagnosis. While ML shows promise with the advent of radiomics, there are still obstacles to overcome.¼ Several calculators leveraging ML algorithms have been developed to predict survival in primary sarcomas and metastatic bone disease utilizing patient-specific data. While these models often report exceptionally accurate performance, it is crucial to evaluate their robustness using standardized guidelines.¼ While increased computing power suggests continuous improvement of ML algorithms, these advancements must be balanced against challenges such as diversifying data, addressing ethical concerns, and enhancing model interpretability.

Analysis of the image and corporate identity of the Colegio Mexicano de Reumatologia: Is it time to redefine it?

INTRODUCTION AND OBJECTIVES: The Colegio Mexicano de Reumatología (CMR) is a corporation whose brand has two elements-image and identity-that differentiate it from other corporations. We evaluated aspects of CMR's corporate image and identity. SUBJECTS AND METHODS: To assess corporate image, we designed a survey using proof-of-concept and discrete-choice-experiments approaches. It assessed which definition (orthopedist, rheumatologist, or rehabilitator) was most meaningful in four pain scenarios in healthy adults from the country's Western region. We used discourse analysis and five readability indices of the CMR website to assess corporate identity. RESULTS: In total, 700 respondents were included. For every rheumatologist chosen in the hand scenario, respondents chose 1.13 orthopedists and 0.70 rehabilitators. For every rheumatologist chosen in the knee scenario, respondents chose 2.36 orthopedists and 0.64 rehabilitators, whereas 0.85 orthopedists and 0.58 rehabilitators were chosen in the arthritis scenario. Only 38% of the respondents preferred the CMR's definition of a rheumatologist to describe a rheumatologist. The younger age group preferred orthopedists to rheumatologists (50% vs. 31%, p<0.001). In the arthritis scenario, the choice of rheumatologist increased from 27% in the elementary school group to 49% in the university group (p<0.001). Mother was the most influential in healthcare seeking. The discursive analysis revealed that the CMR is positioned as a "we" restricted to "colleagues;" the patient did not have agentive representation. The semiotic structure of the CMR's mission/vision was deemed imprecise and lacking in statements of value and purpose; the readability scores indicated that the text was challenging and dry. CONCLUSIONS: The CMR's corporate image does not differentiate it from other health providers. CMR's identity seems ambiguous with restricted directionality. It seems pertinent to redefine the CMR.

[A brief history of the use of Gypsum in orthopedics].

Humans processed gypsum for their everyday use at least 7000 years ago. They have been using fixed limb methods for fracture treatment for nearly 5000 years. Hippocrates recognized the importance of the splint and the "roller bandage" for fracture treatment, and made the bandage hard by adding wax, pitch, lard or resin to the multi-layer cloth bandage, but not gypsum. Arabian physician El Zahrawi (936 -1013) also described a clay glue mixture, and flour and egg white as fracture fixation materials. From 970, Persian physician Muwafak used gypsum as the exclusive material for fracture fixation. The rudimentary form of modern plaster bandages was developed in the mid-19th century and spread widely after that, using methods from the Russian Pyrogov by soaking canvas in a gypsum slurry and Dutchman Massson wrapped gypsum powder in cotton cloth strips.

Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare.

AI-powered segmentation of hip and knee bony anatomy has revolutionized orthopedics, transforming pre-operative planning and post-operative assessment. Despite the remarkable advancements in AI algorithms for medical imaging, the potential for biases inherent within these models remains largely unexplored. This study tackles these concerns by thoroughly re-examining AI-driven segmentation for hip and knee bony anatomy. While advanced imaging modalities like CT and MRI offer comprehensive views, plain radiographs (X-rays) predominate the standard initial clinical assessment due to their widespread availability, low cost, and rapid acquisition. Hence, we focused on plain radiographs to ensure the utilization of our contribution in diverse healthcare settings, including those with limited access to advanced imaging technologies. This work provides insights into the underlying causes of biases in AI-based knee and hip image segmentation through an extensive evaluation, presenting targeted mitigation strategies to alleviate biases related to sex, race, and age, using an automatic segmentation that is fair, impartial, and safe in the context of AI. Our contribution can enhance inclusivity, ethical practices, equity, and an unbiased healthcare environment with advanced clinical outcomes, aiding decision-making and osteoarthritis research. Furthermore, we have made all the codes and datasets publicly and freely accessible to promote open scientific research.

Influence of Training Background on Elbow Arthroplasty Case Numbers: An Analysis of the American Board of Orthopaedic Surgery Part II Oral Examination Case List Database.

INTRODUCTION: This study aimed to evaluate the influence of training background on the frequency and indications of elbow arthroplasty performed by early-career surgeons. METHODS: A review of the American Board of Orthopaedic Surgery Part II Oral Examination Case List database from 2010 to 2021 was completed. The number of cases performed by surgeons from each individual training background were calculated and compared with the total number of surgeons who completed each fellowship during the study period. RESULTS: Hand surgeons performed the most elbow arthroplasty cases (132, 44%), but a higher percentage of shoulder/elbow surgeons performed elbow arthroplasty in comparison (15% vs. 7%). The mean number of TEA cases performed by shoulder/elbow surgeons was significantly higher than in other subspecialties (P < 0.01). However, when comparing only surgeons who performed elbow arthroplasty during the board collection period, there was no significant difference between training backgrounds (P = 0.20). DISCUSSION: While hand surgeons performed the most elbow arthroplasty cases, a higher percentage of shoulder/elbow surgeons performed elbow arthroplasty during the study period. The high prevalence of distal humerus fracture as an indication for arthroplasty reflected a shift in indications and was not related to training background.

Students' perceptions of and satisfaction with their Orthopaedic posting learning environment by using the Healthcare Education Micro-Learning Environment Measure (HEMLEM) questionnaire.

BACKGROUND: The learning environment in medical education is crucial for student development, encompassing social, psychological, and physical aspects that significantly affect learning. This study aimed to assess undergraduate medical students' perception of the orthopaedic ward's learning environment and examine the factors influencing their overall satisfaction during clinical rotation. METHODS: This cross sectional quantitative study was conducted in a private medical college in Pakistan. Data was collected through a pre-validated questionnaire, "The Healthcare Education Micro-Learning Environment Measure (HEMLEM)." Data analysis was done using SPSS version 23 software. RESULTS: A total of 205/300 students (response rate 68.33%) [103 (50.2%) males and 102(49.85) females] participated in this survey. Notably, 116 (56.6%) appreciated the ward's welcoming, friendly, and open atmosphere, and 114(55.6%) of the respondents appreciated the ward culture where they felt free to ask questions or comment. Additionally, 111(54.7%) appreciated the faculty's enthusiasm for teaching. A comparison between male and female students showed significantly higher satisfaction among males regarding staff attitudes and behaviours (p < .019). CONCLUSION: Undergraduate students held a predominantly positive view of the orthopaedic ward's learning environment, with differences observed based on gender and year of study. The study highlights the importance of both staff attitude and teaching quality in shaping the educational experience. It suggests that medical institutions should focus on enhancing teaching skills among clinicians to improve learning experiences and ultimately benefit patient care and the healthcare system.

Victor McKusick: Father of Medical Genetics and his Impact on Orthopaedics.

Victor McKusick, an iconic figure in medicine and considered the founding father of medical genetics, lived an exemplary life bound to inspire others. As a geneticist, McKusick was heavily involved in the Human Genome Project and the development of the widely used Online Mendelian Inheritance in Man. As a researcher and prolific writer, he published more than 700 research articles, reviews, and books. McKusick educated and inspired thousands of students, doctors, and scientists while performing landmark studies in hereditary disorders and skeletal dysplasias. This brief history describes the life of Dr. Victor McKusick and his tremendous impact on orthopaedic surgery. (Journal of Surgical Orthopaedic Advances 33(2):068-071, 2024).

Orthopaedic and trauma research in Tanzania: A scoping review.

Tanzania is disproportionately burdened by musculoskeletal injuries as it faces unique challenges when dealing with trauma care. This scoping review aims to summarize and assess the current state of orthopaedic and trauma research in Tanzania. By identifying key themes, trends, and gaps in the literature, this review seeks to guide future research initiatives catered specifically to the needs of Tanzania's healthcare system. Utilizing the PRISMA-ScR protocol, OVID Medline, PubMed, and CINAHL databases were searched from inception to June 17, 2023, using keywords such as "Orthopaedics" "Trauma" and "Tanzania". One hundred and ninety-two eligible studies were included and the Arksey and O'Malley framework for scoping studies was followed. There was a notable growth of relevant publications from 2015 onward, with peaks in growth in the years 2019, 2021, and 2020. The studies employed diverse research methodologies, with cross-sectional (n = 41, 21%) and prospective studies (n = 39, 20%) being the most prevalent, and randomized-controlled trials being the least prevalent methodology, making up eight studies (4.2%). The most common study themes were trauma (n = 101, 52.6%), lower extremity (n = 31, 16%), and spine-related issues (n = 27, 14%). Only three studies looked at work-related injuries (1.6%). Road traffic injuries (RTIs) were the most common mechanism of trauma in 77.0% of the trauma focused studies. Fifty-three percent of the studies were conducted by a majority of Tanzanian authors. This scoping review highlights various trends in orthopaedic and trauma research in Tanzania, with a particular emphasis on road traffic-related injuries. Various gaps are explored, including a lack of research on work-related injuries and a paucity of experimental research. Our findings underline areas where future research is warranted. The future of orthopaedic and trauma care in Tanzania depends on the efforts and collaboration of both local and international stakeholders.

The History of Orthopedics in the Long Term: From General Medicine to Medical Specialties.

A thorough literature search was done in PubMed and Google Scholar as well as in physical books in libraries to summarize the literature on the history and evolution of medicine and orthopedics. The philosophical ideas that emerged in ancient Greece served as a foundation for the development of medicine. In the 5th century BC, the schools of Knidos and Kos emerged as influential centers for the development of medical thinking. The field of orthopedics can be traced back to early human civilizations. Ancient Egyptians perpetuated the tradition of employing splinting techniques. Hippocrates provided insights for the diagnosis, correction and treatment of many musculoskeletal entities. The field of medicine experienced a period of limited advancement during the Middle Ages. The Renaissance provided for the foundation of modern orthopedics and important contributions to the understanding and implementation of antisepsis. The discovery of x-ray and advancements in infection control and anesthesia have shown substantial progress in the domain of orthopedics and have contributed to the development of orthopedic subspecialization. Orthopedic surgery holds a historical lineage deeply entrenched in ancient practices and early human civilizations. Physicians specializing in orthopedics should be aware of the historical origins of their discipline and continue to evolve through further subspecialization and enhanced research.

Management of periprosthetic hip fractures: current status and prospects; experience of the traumatology and orthopedics department of Mohammed VI University Hospital, Marrakech.

INTRODUCTION: The increase in hip arthroplasties predicts a rise in periprosthetic fractures in Morocco, posing challenges for orthopedic surgeons. Therapeutic strategies vary considerably, highlighting the absence of a universally accepted treatment protocol. AIM: To analyze the management of per-prosthetic hip fractures, while addressing the challenges associated with them. METHODS: This was a retrospective study, conducted in the trauma-orthopedics department between December 2015 and November 2022. Nineteen patients who presented to the hospital with fractures around a hip prosthesis were included. RESULT: Nineteen periprosthetic fractures were observed. The majority of patients (68%) were women, with an average age of 68. The Vancouver classification showed that 52.6% of the fractures were type B1, and 21.1% type C, while the other fracture types were distributed differently. These fractures were mainly associated with diagnoses such as femoral neck fracture (63.2%) and coxarthrosis (31.6%). We observed variations in treatment recommendations and results between the different series analyzed. We noted discrepancies with certain series concerning fracture types and therapeutic choices. However, in our series, we achieved satisfactory results, with successful consolidation and the absence of complications in all patients. CONCLUSION: These results underline the importance of an individualized approach to fracture management, taking into account the specificities of each case.

Should my recommendation letter be written by artificial intelligence?

SummaryLetters of recommendation are increasingly important for the residency match. We assessed whether an artificial intelligence (AI) tool could help in writing letters of recommendation by analyzing recommendation letters written by 3 academic staff and AI duplicate versions for 13 applicants. The preferred letters were selected by 3 blinded orthopedic program directors based on a pre-determined set of criteria. The first orthopedic program director selected the AI letter for 31% of applicants, and the 2 remaining program directors selected the AI letter for 38% of applicants, with the staff-written versions selected more often by all of the program directors (p < 0.05). The first program director recognized only 15% of the AI-written letters, the second was able to identify 92%, and the third director identified 77% of AI-written letters (p < 0.05).

Proteomics in orthopedic research: Recent studies and their translational implications.

Proteomics is a growing field that offers insights into various aspects of disease processes and therapy responses. Within the field of orthopedics, there are a variety of diseases that have a poor prognosis due to a lack of targeted curative therapy or disease modifying therapy. Other diseases have been difficult to manage in part due to lack of clinical biomarkers that offer meaningful insight into disease progression or severity. As an emerging technology, proteomics has been increasingly applied in studying bone biology and an assortment of orthopedics related diseases, such as osteoarthritis, osteosarcoma and bone tumors, osteoporosis, traumatic bone injury, spinal cord injury, hip and knee arthroplasty, and fragile healing. These efforts range from mechanistic studies for elucidating novel insights in tissue activity and metabolism to identification of candidate biomarkers for diagnosis, prognosis, and targeted treatment. The knowledge gained from these proteomic and functional studies has provided unique perspectives in studying orthopedic diseases. In this review, we seek to report on the current state of the proteomic study in the field of orthopedics, overview the advances in clinically applicable discoveries, and discuss the opportunities that may guide us for future research.