BioMedical Engineering OnLine最新文献

{"title":"Effect of humeral rotation on rotator cuff strain, loading and kinematics: an in vitro study.","authors":"Inês Santos, Lieselotte Pichler, Matthias F Pietschmann, Mark Tauber, Peter E Müller","doi":"10.1186/s12938-025-01406-4","DOIUrl":"10.1186/s12938-025-01406-4","url":null,"abstract":"<p><strong>Background: </strong>Despite its main function as abductor, the role of the supraspinatus as stabilizer and rotator cannot be neglected. A supraspinatus tear may not only influence humeral head rotation during abduction but also the strength and loading of the acting (intact) rotator cuff muscles. The purpose of this study was to investigate the effect of constrained humeral rotation and elevation on rotator cuff loading, strain and kinematics with intact and torn cuff conditions.</p><p><strong>Methods: </strong>Active humeral elevation until 30° was simulated in twelve fresh-frozen cadaver shoulders with free humeral rotation and blocked humeral rotation. The loading protocol was applied to the intact rotator cuff, and after a 50% and 100% wide (full-thickness) crescent-shaped (n = 6) and reverse L-shaped (n = 6) tears were created in the supraspinatus tendon.</p><p><strong>Results: </strong>Constrained humeral rotation led to an increase in supraspinatus loading force and maximum supraspinatus strain for both tear shapes. Range of motion was significantly reduced in 7 of the 12 specimens due to blocked humeral rotation. In the 100% wide reverse L-shaped tear group, constrained rotation led to an anterior translation of humeral head, in contrast to the posterior translation observed with free rotation.</p><p><strong>Conclusions: </strong>Blocking humeral head rotation leads to an increase in supraspinatus and infraspinatus strains. According to its function as external rotator of the shoulder, the strain in the infraspinatus was higher at the beginning of abduction. However, small rotator cuff tears might not biomechanically result in increased humeral rotation, possibly because the load on the infraspinatus is compensated by the subscapularis.</p><p><strong>Level of evidence: </strong>Basic Science Study; Biomechanics.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"74"},"PeriodicalIF":2.9,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181920/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global, regional, and national burden of acute leukemia and its risk factors from 1990 to 2021 and predictions to 2040: findings from the global burden of disease study 2021.","authors":"Xinpu Han, Zhangjun Yun, Zhu Liu, Yuping Si, Shaodan Tian, Yu Zhang, Yubo Qi, Chengyuan Xue, Meichen Cui, Xu Wen, Yayue Zhang, Li Hou","doi":"10.1186/s12938-025-01403-7","DOIUrl":"10.1186/s12938-025-01403-7","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Despite therapeutic advances, acute leukemia (AL) continues to impose a substantial global health burden, with persistently high incidence and mortality rates. Notably, the prediction is that the number of incidence and mortality of acute myeloid leukemia (AML) cases will continue to increase to 184,287.88 and 165,537.59, respectively, by 2040. Using Global Burden of Disease Study (GBD) 2021 data, we assessed the worldwide AL burden from 1990 to 2021, analyzing trends by sex to inform public health strategies.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;To delineate the burden of AL, we reported incidence, prevalence, mortality, and disability-adjusted life year (DALY) rates at global, regional, and national levels, with these estimates including age-standardized rates (ASRs) per 100,000 population and average annual percentage changes (AAPCs) from 1990 to 2021 which were stratified by age, sex, and socio-demographic index (SDI), and computed ASRs and AAPCs using linear regression. Temporal trends were analyzed using an age-period-cohort (APC) model with intrinsic estimation (principal component regression). Risk factor attribution quantified contributions of 21 behavioral, environmental, and metabolic exposures to AL-related DALYs. For inequality assessment, we applied the Slope Index of Inequality and Concentration Index to evaluate absolute and relative disparities in AL burden across regions and countries. Future projections (2040) were modeled via a Bayesian APC framework with Integrated Nested Laplace Approximation. All statistical analyses were performed using R software (version R 4.4.1). The GATHER (Guidelines for Accurate and Transparent Health Estimates Reporting) statement provides a framework to ensure the transparency, reproducibility, and quality of health estimates reporting.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Between 1990 and 2021, global ASRs of AL declined, except for acute lymphoblastic leukemia (ALL) age-standardized prevalence rates (ASPR) (AAPC 0.84, 95% CI 0.59-1.10). Case numbers rose overall, though ALL mortality and DALYs decreased. AML burden correlated positively with SDI (ρ &gt; 0, P &lt; 0.001), with the highest number of incident and mortality cases in Western Europe. For ALL, SDI showed positive associations with ASIR and ASPR (ρ &gt; 0, P &lt; 0.001) but negative correlations with ASMR and ASDALR (ρ &lt; 0, P &lt; 0.001), with East Asia being the most severely affected region. High body mass index (BMI), smoking, and benzene/formaldehyde exposure were key AL DALY risk factors. High BMI and smoking predominate in developed countries, and the proportion of DALYs decreases progressively as SDI decreases. Occupational exposures prevailed in developing countries. Population growth drove most absolute increases. Males bore a greater AL burden. AML risk rose with age, whereas ALL displayed bimodal peaks (&lt; 5 and &gt; 40 years). Notably, while ASRs in AL are projected to decline slightly and the number of ALL to decrease by ","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"72"},"PeriodicalIF":2.9,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150532/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144265198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction of a deep learning-based predictive model to evaluate the influence of mechanical stretching stimuli on MMP-2 gene expression levels in fibroblasts.","authors":"Ruozu Xiao, Haowei Zhou, Zhen Shi, Rong Huang, Yuheng Zhang, Jing Li","doi":"10.1186/s12938-025-01399-0","DOIUrl":"10.1186/s12938-025-01399-0","url":null,"abstract":"<p><strong>Background: </strong>Matrix metalloproteinase-2 (MMP-2) secretion homeostasis, governed by the multifaceted interplay of skin stretching, is a pivotal determinant influencing wound healing dynamics. This investigation endeavors to devise an artificial intelligence (AI) prediction framework delineating the modulation of MMP-2 expression under stretching conditions, thereby unravelling profound insights into the mechanobiological orchestration of MMP-2 secretion and fostering novel mechanotherapeutic strategies targeted at MMP-2 modulation.</p><p><strong>Methods: </strong>Employing a bespoke mechanical tensile loading apparatus, diverse mechanical tensile stimuli were administered to fibroblasts, with parameters such as tensile shape and frequency duration constituting the mechanical loading regimen. Furthermore, reverse transcription polymerase chain reaction (RT‒PCR) assays were conducted to measure MMP-2 gene expression levels in fibroblasts subjected to mechanical stretching. Subsequently, the resulting data were partitioned into training and validation cohorts at a 7:3 ratio, facilitating the development of the deep learning (DL) model via a back propagation neural network predicated on the training set. An external validation set was also curated by culling pertinent literature from the PubMed database to assess the predictive ability of the model.</p><p><strong>Results: </strong>Analysis of 336 data points related to MMP-2 gene expression via RT‒PCR corroborated the variability in MMP-2 gene expression levels in response to distinct mechanical stretching regimens. Consequently, a DL model was successfully crafted via the backpropagation algorithm to delineate the impact of mechanical stretching stimuli on MMP-2 gene expression levels. The model, characterized by an R² value of 0.73, evinced a commendable fit with the training data set, elucidating the intricate interplay between the input features and the target variable. Notably, the model exhibited minimal prediction errors, as evidenced by a root mean square error (RMSE) of 0.42 and a mean absolute error (MAE) of 0.28. Furthermore, the model showcased robust generalization capabilities during validation, yielding R² values of 0.70 and 0.71 for the validation and external validation sets, respectively, revealing its predictive accuracy.</p><p><strong>Conclusions: </strong>The DL model fashioned through the backpropagation algorithm adeptly forecasts the impact of mechanical stretching stimuli on MMP-2 gene expression levels in fibroblasts with relative precision. These findings provide a foundation for the modulation of MMP homeostasis via mechanical stretching to expedite the healing of recalcitrant chronic refractory wound (CRW).</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"71"},"PeriodicalIF":2.9,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12139300/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of the lumbar support function of wearable robot (Bot Fit) on sitting position.","authors":"Jang-Hoon Shin, Hyunmuk Lim, Naeun Byeon, Dokwan Lee, Hwang-Jae Lee, Wan-Hee Lee","doi":"10.1186/s12938-025-01402-8","DOIUrl":"10.1186/s12938-025-01402-8","url":null,"abstract":"<p><strong>Background: </strong>Sedentary lifestyles can lead to musculoskeletal disorders, but proper sitting posture, particularly maintaining a slight anterior pelvic tilt, helps prevent issues like lower back pain and spinal misalignment. Samsung Electronics wearable robot 'Bot Fit' improves posture by enhancing core muscle tension, reducing trapezius muscle tension, and improving spinal alignment, which can alleviate pain and improve overall musculoskeletal health.</p><p><strong>Objective: </strong>This study was conducted to evaluate the effectiveness of Samsung's wearable robot, 'Bot Fit', in promoting proper sitting posture.</p><p><strong>Methods: </strong>This study involved 37 participants, including healthy adults, elderly individuals. Participants were evaluated under two conditions, with and without the Bot Fit device, while seated on a Bobath table. Muscle tension, spinal angles, sitting height, and gluteal pressure distribution were measured under both conditions, and statistical analysis was conducted using paired t-tests with a significance level of p = 0.05.</p><p><strong>Results: </strong>Participants showed a significant increase in sitting height and rectus abdominis muscle tone, while upper trapezius muscle tone significantly decreased (p < 0.05). Additionally, hip pressure increased across all regions, and pressure differences between the left and right hips decreased significantly (p < 0.01).</p><p><strong>Conclusion: </strong>Wearing the Bot Fit with its posture correction function improved muscle tone and sitting posture in adults and the elderly, potentially helping to prevent secondary musculoskeletal disorders from poor posture. Future research should explore the optimal torque settings of the Bot Fit based on individual factors like weight and gender.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"70"},"PeriodicalIF":2.9,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12139266/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Exploration of the effect of morphology and location on hemodynamics of small aneurysms: a variable-controlled study based on two cases with tandem aneurysms.","authors":"Jun Wan, Yeqing Jiang, Ligang Xu, Qimin Zhang, Guanghu Xu, Long Yu, Xinzhuo Li, Xiaolong Zhang, Shengzhang Wang","doi":"10.1186/s12938-025-01398-1","DOIUrl":"10.1186/s12938-025-01398-1","url":null,"abstract":"","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"69"},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12135591/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144224188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applications and development trend of biosensors in the detection and diagnosis of gastrointestinal tumors.","authors":"Chengrong Zhang, Lili Jin, Feng Wang","doi":"10.1186/s12938-025-01371-y","DOIUrl":"10.1186/s12938-025-01371-y","url":null,"abstract":"<p><p>Gastrointestinal malignancies present a significant menace to the well-being of people across the globe. Consequently, the prompt and precise identification of such tumors is of utmost importance. Biosensor technology emerges as a promising avenue in this regard, possessing considerable potential for the detection and diagnosis of gastrointestinal tumors. This is achieved through the integration of biometric components with physical and chemical transducers, enabling rapid, sensitive, and specific detection capabilities. In the context of colorectal cancer, notable advancements have been made in the detection of nucleic acids, proteins, cells, and exosomes. For instance, the detection threshold for miRNA has been refined to the amole level, while the detection methodologies for diverse protein markers are under continuous improvement. In addition, exosome detection techniques are evolving steadily. Esophageal cancer, on the other hand, exhibits its own characteristic enzyme cascade and immune sensors, among others. Similarly, in the detection of gastric cancer, there are numerous innovative approaches for the identification of miRNA, proteins, and exosomes. Looking ahead, the performance of biosensors in tumor detection is anticipated to enhance further. The combination of multiple markers for joint detection is expected to gain prominence, and the realization of integration and miniaturization holds the potential to drive improvements in the diagnosis and treatment of gastrointestinal tumors, ultimately leading to better patient outcomes and a more effective approach to combating these life-threatening diseases.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"68"},"PeriodicalIF":2.9,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131493/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144214732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attention-enhanced residual U-Net: lymph node segmentation method with bimodal MRI images.","authors":"Juping Qiu, Chunxia Chen, Ming Li, Jingde Hong, Binhua Dong, Shangyue Xu, Yongping Lin","doi":"10.1186/s12938-025-01400-w","DOIUrl":"10.1186/s12938-025-01400-w","url":null,"abstract":"<p><strong>Objectives: </strong>In medical images, lymph nodes (LNs) have fuzzy boundaries, diverse shapes and sizes, and structures similar to surrounding tissues. To automatically segment uterine LNs from sagittal magnetic resonance (MRI) scans, we combined T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) images and tested the final results in our proposed model.</p><p><strong>Methods: </strong>This study used a data set of 158 MRI images of patients with FIGO staged LN confirmed by pathology. To improve the robustness of the model, data augmentation was applied to expand the data set. The training data was manually annotated by two experienced radiologists. The DWI and T2 images were fused and inputted into U-Net. The efficient channel attention (ECA) module was added to U-Net. A residual network was added to the encoding-decoding stage, named Efficient residual U-Net (ERU-Net), to obtain the final segmentation results and calculate the mean intersection-over-union (mIoU).</p><p><strong>Results: </strong>The experimental results demonstrated that the ERU-Net network showed strong segmentation performance, which was significantly better than other segmentation networks. The mIoU reached 0.83, and the average pixel accuracy was 0.91. In addition, the precision was 0.90, and the corresponding recall was 0.91.</p><p><strong>Conclusions: </strong>In this study, ERU-Net successfully achieved the segmentation of LN in uterine MRI images. Compared with other segmentation networks, our network has the best segmentation effect on uterine LN. This provides a valuable reference for doctors to develop more effective and efficient treatment plans.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"67"},"PeriodicalIF":2.9,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144207549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of bending angle algorithm and path planning for puncture needles in transjugular intrahepatic portosystemic shunt.","authors":"Qinmei Liao, Bing Li, Xihao Hu, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He","doi":"10.1186/s12938-025-01397-2","DOIUrl":"10.1186/s12938-025-01397-2","url":null,"abstract":"<p><strong>Purpose: </strong>Design an algorithm to calculate the bending angle of the puncture needle for transjugular intrahepatic portosystemic shunt (TIPS) procedures and achieve three-dimensional visualized path planning.</p><p><strong>Materials and methods: </strong>Based on enhanced CT images, a thresholding segmentation method was used to perform three-dimensional reconstruction of the hepatic vasculature, with the target puncture point selected by the interventional physician. The puncture needle was modeled using second-order Bézier curves and arcs. Subsequently, the bending points were selected, and the optimal bending angles were calculated based on the target puncture point. The puncture pathway was then verified and visualized in three dimensions using Mimics software. Data from 32 patients who successfully underwent TIPS procedures were retrospectively collected for clinical validation and statistical analysis.</p><p><strong>Results: </strong>The error between the tip position of the puncture needle catheter modeled with Bézier curves and the actual puncture needle was 0.15 cm, while the error for the arc modeling was 0.19 cm. The optimal bending angle of the puncture needle calculated by this algorithm was validated in Mimics software, successfully achieving path planning. Among the 32 patients, the difference between the actual bending angle of the puncture needle and the calculated bending angle was 1.06° ± 1.82° (95% CI 0.41-1.72°). The equivalence test results indicated that there was a significant equivalence between the measured angle and the angle calculated by the algorithm (p < 0.001).</p><p><strong>Conclusion: </strong>This study successfully designed an algorithm for calculating the bending angle of the puncture needle in TIPS procedures, which demonstrated equivalence with the clinically observed bending angles.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"66"},"PeriodicalIF":2.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12117853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing laparoscopic visibility: efficient surgical smoke clearance innovatively using nebulization technology.","authors":"Xiaosong Lin, Qiming Fan, Renjie Li, Ruijian Chen, Zifeng Yang, Yong Li","doi":"10.1186/s12938-025-01395-4","DOIUrl":"10.1186/s12938-025-01395-4","url":null,"abstract":"<p><strong>Background: </strong>Particulate matter (PM) in surgical smoke is known to influence operative vision and poses safety risks to operating personnel. Nebulization, which is effective in promoting the deposition of PM, has not been used to clear laparoscopic surgical smoke.</p><p><strong>Methods: </strong>The novel nebulizer was tested for mechanical characteristics and applied to evaluate its feasibility for surgical smoke clearance. Nebulization (n = 6) or elimination (n = 6) procedures were performed to manage surgical smoke produced by electrocautery hook or ultrasonic scalpel on various tissues of twelve rabbits. Levels of PM in surgical smoke, including the PM1.0, PM2.5, PM10, and total suspended particulate were compared to evaluate emissions from both surgical instruments. In addition, pre-treatment, post-treatment and reduction in PM concentrations were compared between the nebulization and elimination groups.</p><p><strong>Results: </strong>The spray cone angle was approximately 70°, and the median particle size was around 25 µm. Laparoscopic visibility was restored with clearance of surgical smoke within 8 s after nebulization. The electrocautery hook produced significantly higher levels of PM compared to the ultrasonic scalpel. The PM concentrations generated by electrocautery hook varied across different tissues, whereas only PM1.0 level differed with the ultrasonic scalpel. The pre-treatment PM concentrations were comparable between both groups. The nebulization group showed a greater reduction in PM concentrations compared to the elimination group, with statistical significance in PM1.0 levels. Consequently, post-treatment PM concentrations were significantly lower in the nebulization group. Similar trends were observed across all target tissues except for omentum.</p><p><strong>Conclusions: </strong>Nebulization was an effective method for clearing laparoscopic surgical smoke thereby improving surgical vision and potentially mitigating risks associated with surgical smoke exposure.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"65"},"PeriodicalIF":2.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12105325/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facial expression deep learning algorithms in the detection of neurological disorders: a systematic review and meta-analysis.","authors":"Shania Yoonesi, Ramila Abedi Azar, Melika Arab Bafrani, Shayan Yaghmayee, Haniye Shahavand, Majid Mirmazloumi, Narges Moazeni Limoudehi, Mohammadreza Rahmani, Saina Hasany, Fatemeh Zahra Idjadi, Mohammad Amin Aalipour, Hossein Gharedaghi, Sadaf Salehi, Mahsa Asadi Anar, Mohammad Saeed Soleimani","doi":"10.1186/s12938-025-01396-3","DOIUrl":"10.1186/s12938-025-01396-3","url":null,"abstract":"<p><strong>Background: </strong>Neurological disorders, ranging from common conditions like Alzheimer's disease that is a progressive neurodegenerative disorder and remains the most common cause of dementia worldwide to rare disorders such as Angelman syndrome, impose a significant global health burden. Altered facial expressions are a common symptom across these disorders, potentially serving as a diagnostic indicator. Deep learning algorithms, especially convolutional neural networks (CNNs), have shown promise in detecting these facial expression changes, aiding in diagnosing and monitoring neurological conditions.</p><p><strong>Objectives: </strong>This systematic review and meta-analysis aimed to evaluate the performance of deep learning algorithms in detecting facial expression changes for diagnosing neurological disorders.</p><p><strong>Methods: </strong>Following PRISMA2020 guidelines, we systematically searched PubMed, Scopus, and Web of Science for studies published up to August 2024. Data from 28 studies were extracted, and the quality was assessed using the JBI checklist. A meta-analysis was performed to calculate pooled accuracy estimates. Subgroup analyses were conducted based on neurological disorders, and heterogeneity was evaluated using the I² statistic.</p><p><strong>Results: </strong>The meta-analysis included 24 studies from 2019 to 2024, with neurological conditions such as dementia, Bell's palsy, ALS, and Parkinson's disease assessed. The overall pooled accuracy was 89.25% (95% CI 88.75-89.73%). High accuracy was found for dementia (99%) and Bell's palsy (93.7%), while conditions such as ALS and stroke had lower accuracy (73.2%).</p><p><strong>Conclusions: </strong>Deep learning models, particularly CNNs, show strong potential in detecting facial expression changes for neurological disorders. However, further work is needed to standardize data sets and improve model robustness for motor-related conditions.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"64"},"PeriodicalIF":2.9,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12096636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144126513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}