77 research outputs found
Artificial Intelligence and Machine Learning Applications in Clinical Biomechanics: A Systematic Review
No full textBackground: Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming biomechanical research, potentially addressing limitations of traditional laboratory-based motion capture and observational analysis methods that are often time-consuming, expensive, and confined to controlled environments.
Purpose: To systematically review and synthesize evidence on AI/ML applications in clinical biomechanical analysis, evaluating their accuracy, validation methodologies, and clinical translation potential across different biomechanical parameters from 2020-2025.
Methods: Following PRISMA guidelines, we systematically searched nine databases for articles published between January 2020 and April 2025. Included studies directly addressed AI/ML techniques for biomechanical parameter estimation in human subjects with clearly defined accuracy metrics. Data synthesis involved narrative analysis due to methodological heterogeneity. Quality assessment used the Downs and Black checklist.
Results: From 3,245 initial records, 186 studies met inclusion criteria. Deep Learning (DL) approaches dominated (77% of studies), with Long Short-Term Memory networks (32%) and Convolutional Neural Networks (28%) showing superior performance for temporal biomechanical data. Wearable sensor integration achieved clinically acceptable accuracy for key parameters: joint moments (relative Root Mean Square Error 4.0-19.5%), center of pressure trajectories (correlation coefficient >0.90), and joint angles (Root Mean Square Error 3-8°). Leave-subject-out validation consistently demonstrated 2-3 fold higher error rates compared to typical split validation, highlighting generalizability challenges across populations.
Conclusion: AI/ML techniques demonstrate significant potential for clinical biomechanical analysis, particularly through deep learning architectures integrated with wearable sensors. However, critical methodological challenges persist including validation standardization, model interpretability, and population generalizability that must be addressed before widespread clinical implementation
Is the number of dislocations after bipolar hemiarthroplasty affected by anatomical parameters?
No full textThe aim of this study was to evaluate the relationship between the number of dislocations and anatomical parameters after bipolar hemiarthroplasty (BHA) in femoral neck fracture (FNF) treatment. A total of 240 consecutive patients (157 females, 83 males) with FNFs who were treated with BHA were evaluated retrospectively. Of these 24 patients with dislocations divided into two main groups according to the number of dislocations: Single-dislocation (Group 1, n=15) and multiple-dislocation groups (Group 2, n=9). Surgery-related and anatomical morphologic features as well as patient factors and clinical outcomes were comparatively analyzed between the groups. Pre and postoperative standard anteroposterior (AP) and lateral radiographs were used to evaluate for surgical and anatomical parameters. Harris and Modified Harris Scores were used to evaluate postoperative clinical outcomes. The mean follow-up period was 30.2±11.7 months (range, 12-56 months). Mean age was 80.1±6.4 years (range, 71-98 years). Dislocation incidence was 10.0% (24/240). Mean time to first dislocation was 2.3±1.4 months (range, 1-6 months). Mean number of dislocations was 2.1±1.0 (range, 1-4). There was significant difference in surgical factors and anatomical parameters between groups including nonoperated side offset (ON), nonoperated side femoral offset (FO), residual femoral neck length (RFNL), major trochanter upper end and femoral head center distance (TEFHCD) of nonoperated side, height of hip center (HHC) of operated and nonoperated side, femoral neck-shaft angle (FNSA) of operated side and pelvic obliqity (PO) between the groups (p0.05). Surgery-related and anatomical morphologic features were found to be effective in the number of dislocations (re-dislocation) after BHA. Patients who experienced the first-time dislocation after BHA with anatomical and surgical risk factors should be carefully monitored and more controlled physiotherapy may be recommended in terms of re-dislocation risk. [Med-Science 2020; 9(3.000): 535-40
Chaos theory modeling improves olecranodiaphyseal angle prediction from proximal ulnar dorsal angulation in healthy elbows
No full textAbstract To evaluate the relationship between Proximal Ulnar Dorsal Angulation (PUDA) and Olecranodiaphyseal Angle (ODA) in healthy elbows using both linear regression and advanced chaos theory approaches, analyzing the effects of age, sex, and side parameters. In this cross-sectional study, 295 healthy elbows (178 male, 117 female; 130 right, 165 left) were evaluated with standard radiographs. PUDA, Varus Angle (VA), and ODA measurements were performed by two independent observers. Linear regression analysis and chaos theory-based nonlinear modeling were used to establish mathematical relationships between PUDA and ODA. Phase space reconstruction, fractal dimension analysis, Lyapunov exponent calculation, and strange attractor identification were performed to characterize the underlying dynamical system. Linear analysis revealed an inverse relationship between PUDA and ODA (regression coefficient β = −0.340, significance level p < 0.001). However, chaos theory analysis uncovered complex nonlinear dynamics with a fractal attractor structure (correlation dimension D2 = 2.34 ± 0.12, indicating non-integer dimensional geometry) and positive Lyapunov exponent (λ1 = 0.127 ± 0.043, confirming sensitive dependence on initial conditions characteristic of chaotic behavior). The chaos-based local linear model achieved superior prediction accuracy (R2 = 0.758, RMSE = 2.53) compared to linear regression (R2 = 0.210, RMSE = 4.63), representing a 3.6-fold improvement. Bifurcation analysis identified critical PUDA threshold values where system behavior changed dramatically. Males exhibited higher dimensional complexity (correlation dimension D2 = 2.51 ± 0.18) compared to females (D2 = 2.14 ± 0.21, significance level p = 0.032), indicating that male proximal ulnar geometry is governed by more complex dynamical interactions. The chaotic dynamics underlying PUDA-ODA relationships provide superior predictive capability compared to traditional linear models. This chaos theory-based approach offers clinicians dramatically improved accuracy for estimating normal ODA values in complex elbow injuries, with precise predictions (± 2°) improving from 34.2 to 67.8% of cases. The identification of strange attractors and bifurcation points reveals that small variations in PUDA measurements can lead to dramatically different ODA predictions, emphasizing the critical importance of measurement precision in surgical planning
Does Side Dominance Affect the Clinical and Functional Outcomes Following Arthroscopic Rotator Cuff Repair?
No full textReply to the Letter to the Editor: Art in Science: Jusepe de Ribera’s Puzzle in The Clubfoot
No full text
Reply to the Letter to the Editor: Art in Science: Jusepe de Ribera’s Puzzle in The Clubfoot
No full textEffect of Leg Dominance on Medium- to Long-Term Functional Outcomes, Quality of Life, and Revision Rates After Isolated ACL Reconstruction
No full textBackground
HARPUT'LU ABDULHAMIT HAMDiEFENDi (1830-1902) VE HZ. PEYGAMBER'iN BILGiSiNE DAiR BiR RiSALESi "Safvetu Efkari'I-Uiema fi isbati Ilmi Nebiyyina bi'I-Esma"
No full textHARPUTI ABDULHAMİT HAMDİ EFENDi and his epistle "Safwatu
Afkari'l Ulama fi Isbliti Ilmi Nabiyyina bi'l-Asma", which is on the Prophet's
knowledge:
An Ottornan scholar A. Harndi Efendi (1830-1902, from Harput-Elazig) had written a
lot ofbooks about Islarnic scienses and the literature. In this work we studied him and
his Arabic epistle which was published in 1899, Istanbul, 19 pp. The epistle has three
main assertions:
1. The Prophet M uharnrnad had created before the Prophet Adam,
2.Allah had tought him all teachings, as far as had tought Adam all names.
3.The Prophet has knowledge of everything by his soul, even he knows what Allah
knows.
The author supports these claims with the verses from the Qur'an and a lot of
traditions and some sufı poerns. Then, we discussed and examined these assertions in
the light of the Prophet's knowledge. W e conclude that, this epistle !ike rnany others,
isa tytıical work from our culture and geography about Muslim's misunderstanding of
the Prophet. Meanwhile it is an original work in comparison to the first and the last
prophets and their knowledges. Morever, it is an important docuınent on Muslim's
unlirnited love towards the Prophet It is very interesting to observe that a Muslim
scholar occupied himself with such a work at the most difficult time of the Ottornan
Empire
Individual and Combined Anatomic Risk Factors for the Development of an Anterior Cruciate Ligament Rupture in Men: A Multiple Factor Analysis Case-Control Study
No full textBackground: No comparative studies have evaluated anatomic risk factors in a large cohort including both patients with anterior cruciate ligament (ACL) ruptures and healthy participants. Purpose: To determine which anatomic parameters are independently associated with an ACL rupture and the diagnostic values of the individual and combined anatomic parameters. Study Design: Case-control study; Level of evidence, 3. Methods: A total of 352 male patients who underwent arthroscopic ACL reconstruction because of a primary ACL rupture and 350 age-, sex-, body mass index-, and side dominance-matched healthy participants were included. Measurements of 32 previously determined parameters and 7 calculations were performed. Between-group differences were calculated. Univariate and multivariate logistic regression models and receiver operating characteristic curve analysis were conducted for the individual and combined independently associated factors. Results: The mean age and body mass index of all participants were 29.9 +/- 7.7 years and 27.2 +/- 3.1, respectively. There were significant differences between the groups regarding the notch width (NW), notch shape index, anterior tibial slope, notch width index, NW-eminence width (NW:EW) ratio, notch height, axial lateral wall angle, medial intercondylar ridge thickness, alpha angle, medial tibial depth (MTD), lateral tibial slope (LTS), coronal tibial plateau width, eminence width index, tibial proximal anteroposterior distance (TPAP), lateral condylar anteroposterior distance (LCAP)/TPAP, ACL cross-sectional area, ACL volume, medial and lateral meniscal cartilage height, medial and lateral meniscal cartilage angle (MCA), and medial and lateral meniscal cartilage bone height. The NW:EW ratio (odds ratio [OR], 4.419; P = .017), MTD (OR, 8.617; P = .001), LTS (OR, 2.254; P = .011), LCAP/TPAP (OR, 2.782; P = .037), and medial MCA (OR, 1.318; P = .010) were independently associated with the development of an ACL rupture. Combining the independently associated factors revealed a sensitivity of 93% and a specificity of 94% (area under the curve, 0.968). Conclusion: Patients with ACL ruptures could be distinguished from uninjured controls with high sensitivity and specificity via the combined use of the NW:EW ratio, MTD, LTS, LCAP/TPAP, and medial MCA. In clinical practice, these findings may contribute to the development of preventive strategies for ACL ruptures
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