K Bala, K Ashok Kumar, D Venu, Bhanu Prakash Dudi, Siva Prasad Veluri, V Nirmala
{"title":"Covid-19 diagnosis using privacy-preserving data monitoring: an explainable AI deep learning model with blockchain security.","authors":"K Bala, K Ashok Kumar, D Venu, Bhanu Prakash Dudi, Siva Prasad Veluri, V Nirmala","doi":"10.1080/03091902.2025.2542273","DOIUrl":"10.1080/03091902.2025.2542273","url":null,"abstract":"<p><p>The COVID-19 pandemic emphasised necessity for prompt, precise diagnostics, secure data storage, and robust privacy protection in healthcare. Existing diagnostic systems often suffer from limited transparency, inadequate performance, and challenges in ensuring data security and privacy. The research proposes a novel privacy-preserving diagnostic framework, Heterogeneous Convolutional-recurrent attention Transfer learning based ResNeXt with Modified Greater Cane Rat optimisation (HCTR-MGR), that integrates deep learning, Explainable Artificial Intelligence (XAI), and blockchain technology. The HCTR model combines convolutional layers for spatial feature extraction, recurrent layers for capturing spatial dependencies, and attention mechanisms to highlight diagnostically significant regions. A ResNeXt-based transfer learning backbone enhances performance, while the MGR algorithm improves robustness and convergence. A trust-based permissioned blockchain stores encrypted patient metadata to ensure data security and integrity and eliminates centralised vulnerabilities. The framework also incorporates SHAP and LIME for interpretable predictions. Experimental evaluation on two benchmark chest X-ray datasets demonstrates superior diagnostic performance, achieving 98-99% accuracy, 97-98% precision, 95-97% recall, 99% specificity, and 95-98% F1-score, offering a 2-6% improvement over conventional models such as ResNet, SARS-Net, and PneuNet. These results underscore the framework's potential for scalable, secure, and clinically trustworthy deployment in real-world healthcare systems.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"355-373"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sasan Hasanlou, Majid Sohrabian, Mohammad Hossein Dehestani, Majid Vaseghi
{"title":"Engineering femoral bone repair: analysis of cracks and bone loss cavities with optimized scaffold design.","authors":"Sasan Hasanlou, Majid Sohrabian, Mohammad Hossein Dehestani, Majid Vaseghi","doi":"10.1080/03091902.2025.2550444","DOIUrl":"10.1080/03091902.2025.2550444","url":null,"abstract":"<p><p>The study aims to provide structural insights into stress distribution patterns, structural integrity, and the efficacy of intervention techniques, offering implications for orthopaedic practices. Under a simulated body weight of 750 N, the intact femur exhibits optimal structural integrity with uniform stress distribution (27.96 MPa), highlighting inherent strength and stability. In contrast, the presence of a 2 mm crack significantly alters stress distribution, creating localised areas of elevated stress (146.3 MPa). The crack-fixed femur analysis demonstrates successful stress reduction around the crack site. Through optimisation of scaffold morphologies, a scaffold with strut diameter of 500 μm and pore size of 450 μm was selected for insertion into the bone cavity along with a fixation structure. The maximum stress concentrations at bone are consistently below 80 MPa. This design ensures the effective distribution of physiological forces on the bone. Comparatively, the healthy femur serves as a baseline for optimal stress distribution, while the cracked femur underscores the adverse impact of fractures, necessitating early detection and interventions. The findings contribute to the ongoing development of orthopaedic practices, emphasising stability, healing, and improved patient outcomes.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"428-443"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elena Lucania, Pietro Piazzolla, Michele Bertolini, Giorgio Colombo
{"title":"Human respiratory simulation based on 3D modelling - a review.","authors":"Elena Lucania, Pietro Piazzolla, Michele Bertolini, Giorgio Colombo","doi":"10.1080/03091902.2025.2543503","DOIUrl":"10.1080/03091902.2025.2543503","url":null,"abstract":"<p><p>Accurate simulation of respiratory dynamics is essential for advancing the diagnosis and treatment of pulmonary diseases. This review analyzes current methodologies for modelling lung mechanics during insufflation and exsufflation, focusing on airflow simulations in the tracheobronchial tree. 45 studies were selected through a structured screening process and evaluated based on modelling approaches, simulation techniques, boundary conditions, and clinical applicability. The review identifies three main strategies for 3D TB model generation: segmentation of DICOM images, CAD-based geometries, and hybrid methods. While DICOM segmentation ensures anatomical realism, it is limited in generational depth. Conversely, CAD and hybrid approaches extend model coverage but may compromise subject specificity. Simulation methods include Computational Fluid Dynamics, Fluid-Structure Interaction, biomechanical, structural and statistical models, MR-Linac workflows, and neural networks. Among these, CFD remains the most widely adopted due to its accessibility and maturity, whereas FSI and hybrid CFD-FSI models offer superior physiological fidelity. The review wants to highlight the importance of combining detailed anatomical modelling with dynamic simulation frameworks to improve clinical interventions, particularly in lung surgery. Future work should focus on integrating patient-specific imaging, advanced boundary conditions, and multiscale modelling to enable more precise and scalable respiratory simulations.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"386-406"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Over-reliance on AI for diagnosis: the potential for algorithmic bias and the erosion of clinical skills.","authors":"Fnu Shahzaib, Shahbaz Shakil, Arifa Arifa","doi":"10.1080/03091902.2025.2548478","DOIUrl":"10.1080/03091902.2025.2548478","url":null,"abstract":"","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"427"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Novel design and comprehensive mechanical analysis of a cost-effective manual patient lifting system with worm gear mechanism.","authors":"Akbar Hojjati Najafabadi, Monireh Ahmadi Bani","doi":"10.1080/03091902.2025.2543007","DOIUrl":"10.1080/03091902.2025.2543007","url":null,"abstract":"<p><p>The growing need for efficient patient lifting and transfer solutions highlights a significant gap in current healthcare systems, particularly in affordable, accessible options for home use. While most research has focused on automated or motorised systems, this study introduces a novel manual patient lifting device based on a worm gear mechanism, which, despite its proven industrial benefits, remains underexplored in healthcare. Using a case study of a 50-year-old, 72 kg individual, we developed a cost-effective, manually operated lifting system aimed at reducing caregiver workload and improving patient mobility. The design was modelled using SolidWorks and subjected to comprehensive static and dynamic structural analysis under loads of 800 N, 1000 N and 1200 N. Results show that the worm gear mechanism reduces required torque by up to 66% and applied force by 15% compared to traditional lead screw systems, significantly enhancing ergonomic efficiency. Additionally, lifting speed improves by approximately 10 mm/s, and the device achieves a safety factor of 2.9 under maximum load, ensuring structural reliability. Importantly, the non-back driveable feature of the worm gear prevents unintended descent, addressing a key safety concern in manual lifting devices. This mechanically optimised and ergonomically designed solution is tailored for homecare settings, where affordability, ease of use, and portability are crucial. By applying advanced mechanical principles to a simple, reliable design, this work contributes to the development of practical assistive technologies that improve both caregiver safety and patient independence, marking a meaningful step forward in assistive healthcare technology.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"374-385"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144849302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prakyath Shetty, Ravi M S, Murali P S, Durga Prasad, Pradyumna G R, Bommegowda K B
{"title":"Optimised circuit design for precise bite force measurement using flexiforce sensors.","authors":"Prakyath Shetty, Ravi M S, Murali P S, Durga Prasad, Pradyumna G R, Bommegowda K B","doi":"10.1080/03091902.2025.2542270","DOIUrl":"10.1080/03091902.2025.2542270","url":null,"abstract":"<p><p>The precise measurement of bite force is vital in dental diagnostics, particularly for evaluating tooth restorations, prosthetic interventions, and orthodontic treatments. This study presents the calibration and evaluation of the Flexiforce A301 sensor using optimised low-drive voltage circuits to extend its measurement range. Three circuit configurations, a voltage divider, a feedback resistor, and a feedback resistor with a capacitor were designed, simulated using LTspice, and experimentally validated. Results indicate that the configuration incorporating a feedback resistor provides superior linearity and stability, accurately measuring forces up to 100 kg, outperforming other configurations. This advancement enhances the reliability and range of bite force measurements, offering a robust foundation for high-force dental applications.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"344-354"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pre- and post-fixation comparative study on the rehabilitation of transfemoral amputees using a patient-specific polycentric knee joint.","authors":"Vaibhav Jaiswal, Subramani Kanagaraj","doi":"10.1080/03091902.2025.2514563","DOIUrl":"10.1080/03091902.2025.2514563","url":null,"abstract":"<p><p>Rehabilitation of transfemoral amputees remains a societal challenge due to the absence of natural knee joint motion. Despite progress in high-end prosthetic knee joints, issues of affordability, functionality, and patient-specific fitting persist. This study addresses these concerns through an indigenously developed, patient-specific configurable polycentric knee joint with improved functionalities. Five transfemoral amputees and ten healthy controls participated. The prosthesis is fitted to amputees, followed by a 12-week rehabilitation program. Pre- and post-fixation assessments are conducted using SF-36 and QTFA-70 to evaluate health-related quality of life (HRQL) and functionality. Kinematic and dynamic analyses during daily activities are performed using a high-speed video camera, Kinovea software, manual goniometer, and force plate. Results show a 55% improvement in HRQL and 88% improvement in global performance post-fixation. The measured knee flexion angles are 47.6°±5.9° (swing phase), 131.4°±6.6° (deep squat), 112.8°±5° (floor sitting), 125.1°±5.4° (chair sitting), and 99.2°±4.5° (bent knee sitting), closely matching healthy controls. Peak vertical ground reaction forces and gait symmetry also align with sound limbs and controls. These outcomes demonstrate the prosthetic design's potential in restoring near-anatomical motion and significantly improving the functional performance of transfemoral amputees.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"257-275"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Strain shielding effect analysis of solid and porous Ti-6Al-4V alloy implanted femur bone using finite element analysis.","authors":"Sita Ram Modi, Amardeep Dongare, Kailash Jha","doi":"10.1080/03091902.2025.2498748","DOIUrl":"10.1080/03091902.2025.2498748","url":null,"abstract":"<p><p>In the proposed work, strain shielding effect analysis of solid and porous Ti-6Al-4V alloy implanted femur bone using finite element analysis is carried out. Strain shielding is a significant concern during total hip arthroplasty (THA) since it reduces bone growth and results in aseptic implant loosening due to the mismatch of femur and implant characteristics. The study examined solid and porous implanted femur bone under three loading conditions: standing, walking and stair climbing. The results show that strains on bone due to porous implants as compared to solid implants have been increased by 31, 24.3% and reduced by 12.18% for standing, walking, and stair climbing human activities, respectively. The findings show that porous implants promote bone growth and reduce aseptic implant loosening by lowering the strain and stress shielding effect.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"217-230"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144048969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roshan S Bhanuse, Ganesh Yenurkar, Kavita R Singh, Sandip Mal, Sulakshana B Mane, Rahul Kachhwah, Neeraj Rajbhar, Saksham Take, Tejas Thakre
{"title":"Multi-stage generative adversarial network model for segmenting retinal vascular structures in eye disease prediction.","authors":"Roshan S Bhanuse, Ganesh Yenurkar, Kavita R Singh, Sandip Mal, Sulakshana B Mane, Rahul Kachhwah, Neeraj Rajbhar, Saksham Take, Tejas Thakre","doi":"10.1080/03091902.2025.2509275","DOIUrl":"10.1080/03091902.2025.2509275","url":null,"abstract":"<p><p>Retinal vessel segmentation is essential for precise ophthalmological diagnoses, particularly in the prediction of retinal degenerative diseases. However, existing methods usually lack robustness and accuracy, especially in segmentation of thin or overlapping vessels. To face these challenges, this study introduces an enhanced retina-RV-Gain segmentation model, which employs an architecture of various stages to refine the results of segmentation iteratively. The model integrates attention mechanisms to better capture complex vessel structures and employs an adaptive loss function to manage class imbalance. In addition, a specially designed discriminator enhances the model's ability to distinguish fine details from background noise vessels. The proposed RV-Gan is trained in comprehensive data sets that comprise retinal images, segmentation masks and noted labels, including Stare-DB, Chase-DB1 and Drive, using the Python platform. Experimental results demonstrate a segmentation accuracy of up to 99% in normal, abnormal and base vessels. These findings highlight the potential of the model to significantly improve diagnostic accuracy and support early prediction of disease in clinical ophthalmology. Overall, the enhanced RV-Gan architecture offers a robust solution to the limitations of current approaches, providing segmentation of high fidelity retinal vessels and advancing the predictive analysis of retinal degenerative conditions.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"231-256"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144162744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephanie K Mansell, Oliver Olsen, Francesca Gowing, Zaid Muwaffak, Cherry Kilbride, Stephen Hilton, Eleanor Main, Silvia Schievano, Swapna Mandal
{"title":"3DPiPPIN: 3D printing of positive airway pressure (PAP) therapy interfaces: a single site feasibility study.","authors":"Stephanie K Mansell, Oliver Olsen, Francesca Gowing, Zaid Muwaffak, Cherry Kilbride, Stephen Hilton, Eleanor Main, Silvia Schievano, Swapna Mandal","doi":"10.1080/03091902.2025.2532648","DOIUrl":"10.1080/03091902.2025.2532648","url":null,"abstract":"<p><p>Sleep-disordered breathing (SDB) affects 14% of the population. Positive airway pressure (PAP) therapy is standard, but commercially available interfaces may be ineffective due to poor fit. Three-dimensional (3D) printing can customise PAP therapy interfaces. Is it feasible to manufacture and use 3D-printed customised oronasal PAP interfaces in clinical practice? Do customised interfaces improve patient comfort and reduce side effects compared to off-the-shelf interfaces? A single-site feasibility study involving 10 healthy and 10 patient participants was undertaken. A 3D facial scan was used to 3D print a mould, injected with medical-grade silicone to create a oronasal customised interface. Participants underwent a 10-minute trial with both off-the-shelf and customised interfaces. Comfort (Visual Analogue Scale), skin reactions, and interface leak (L/min) were measured. Patient participants used the customised interface for five nights at home, with data collected on Apnoea Hypopnoea Index (AHI), interface leak, and PAP therapy concordance. The study recruited 20 participants. Customised oronasal interfaces showed a failure rate in manufacturing (23.75% 3D printing, 50%: silicone injection). Adverse reactions were 10% in the patient study. Comfort scores were similar between interfaces. Interface leak was lower with customised interfaces after five nights. AHI was reduced with customised interfaces, but with a trend towards decreased PAP therapy concordance. The study demonstrated 3D-printed customised oronasal PAP interfaces can be manufactured, with potential benefits of reduced interface leak and AHI. Improvements in manufacturing processes are needed to reduce failure rates. Further research via a randomised controlled trial with a longer duration is warranted.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"293-303"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}