Frontiers in medical technology最新文献

{"title":"Infrared imaging and intravascular laser irradiation of blood therapy for glycemic control in type 2 diabetes mellitus: a technical note.","authors":"Philype Antonio Calazans Candido, Gabriel Carneiro Brioschi, Marcos Leal Brioschi, Kathleen Melchior Altruda","doi":"10.3389/fmedt.2025.1701628","DOIUrl":"10.3389/fmedt.2025.1701628","url":null,"abstract":"<p><p>This technical note presents a standardized method that integrates intravascular laser irradiation of blood (ILIB) with infrared thermography to visualize real-time physiological responses during treatment. One adult male with long-standing type 2 diabetes underwent ten ILIB sessions using a 660 nm transcutaneous laser applied over the left radial artery. Infrared thermography captured temperature changes in abdominal regions associated with metabolic function. Across sessions, an average temperature increase of approximately 2.1 °C was observed in the hepatic and epigastric areas. Laboratory values showed reductions in fasting glucose (-29%) and HbA1c (-14%), while C-peptide remained stable. Because this is a single-patient technical demonstration, the findings cannot be interpreted as evidence of efficacy. Instead, the report illustrates the feasibility and potential utility of combining ILIB with thermal imaging for methodological development in future controlled studies.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"7 ","pages":"1701628"},"PeriodicalIF":4.6,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12909521/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146222532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing the digital adoption in healthcare built environments: a framework for a therapeutic user-based wayfinding system.","authors":"Yasmin Garcia-Sterling, Karim Farghaly, Michael Pitt","doi":"10.3389/fmedt.2025.1323446","DOIUrl":"10.3389/fmedt.2025.1323446","url":null,"abstract":"<p><p>The efficacy of wayfinding systems in healthcare settings holds significant implications for many users, including patients, visitors, and healthcare professionals. Traditional systems, anchor examples in spatial design principles, frequently overlook the variegated needs of individuals, especially those with physical and mental disabilities. This narrow focus culminates in a one-size-fits-all approach that fails to address the intricate diversity of user requirements, thereby compromising sensory spatial information that aids a user's real-time neurophysiological needs. To rectify this, the narrative review paper reviews the potential contribution of the ecology of wayfinding for understanding healthier wayfinding solutions. It proposes a paradigm shift towards a user-centric wayfinding model in healthcare facilities. Building on a nuanced understanding of the diverse needs and neurological factors affecting healthcare users, this paper describes and synthesises elements that adapt to the triangulation from the Human Activity Accessible Technology, (HAAT) to understand hospital users' wayfinding needs at a temporal to spatial level. Lastly, anticipating the novel conceptual framework to be considered a curb-cut effect for a therapeutic, user-based wayfinding system, beyond the assistive technology phenomenon. Adopting a humanistic lens, the framework aims to elevate the well-being and comfort of users by incorporating inclusion criteria into digital wayfinding systems. The paper concludes by identifying areas for future research to integrate user-based real-time capabilities into healthcare wayfinding technology, thereby aligning therapeutic objectives with an inclusive and supportive healthcare environment.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"7 ","pages":"1323446"},"PeriodicalIF":4.6,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12909523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146222523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Making the invisible visible: integrated visualization and automated quantification of thrombus deformation during mechanical thrombectomy.","authors":"Marielle Ernst, Felizitas Sommer, Michael Bartl, Christian H Riedel, Philip Langer","doi":"10.3389/fmedt.2026.1704010","DOIUrl":"10.3389/fmedt.2026.1704010","url":null,"abstract":"<p><strong>Background: </strong>Mechanical thrombectomy using stent retrievers is a proven treatment for large vessel occlusion stroke, but quantitative and objective evaluation of device-thrombus interaction remains limited.</p><p><strong>Objective: </strong>This study introduces a novel algorithm and experimental framework to visualize and quantify thrombus deformation during retrieval under standardized <i>in vitro</i> conditions, with the long-term goal of informing future clinically applicable analysis tools.</p><p><strong>Methods: </strong>An <i>in vitro</i> model simulating large vessel occlusion was developed using organized human thrombi. Two stent retrievers - the Embotrap III (6.5 × 45 mm) and NeVa (4.5x 29 mm) - were studied in a vascular model under fluoroscopic guidance. An algorithm was developed to automatically segment and quantify thrombus deformation and analyze contour changes during the retrieval.</p><p><strong>Results: </strong>In total, 36 and 47 thrombectomies were performed with the Embotrap III and NeVa, respectively. Both devices achieved high first-pass reperfusion rates (Embotrap III: 88.9%, NeVa: 87.2%). However, thrombus deformation (mean: 14.7 × 10^-3 vs. 8.9 × 10^-3) and contour change (mean: 0.52 vs. 0.40) were significantly higher with Embotrap III, suggesting greater mechanical engagement. Thrombus fragmentation occurred in 5.6% of Embotrap III cases, but in none with NeVa. Moderate to marked distal thrombus migration occurred in over half of cases in both groups. Extensive migration occurred exclusively with NeVa in 4 cases (13%). Interrater and intrarater reliability of the automatic segmentation were excellent.</p><p><strong>Conclusions: </strong>Our new imaging and analysis framework allows for objective, reproducible measurements of thrombus-stent interaction over time. Our findings support the high efficacy of both stent retrievers. While the Embotrap III exerted stronger mechanical deformation effects on the clots, initial distal thrombus migration occurred more often with the NeVa device. This approach may support more informed device selection and optimization of thrombectomy strategies to enhance reperfusion success and reduce distal embolization in acute ischemic stroke.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1704010"},"PeriodicalIF":4.6,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12894324/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146204559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-Load endoluminal navigation with a magnetically actuated medical soft microrobot.","authors":"Julio Guerra, Andrei Malchikov, Sergey Jatsun, Petr Ryapolov, Andres Santiago Martinez-Leon","doi":"10.3389/fmedt.2026.1717944","DOIUrl":"10.3389/fmedt.2026.1717944","url":null,"abstract":"<p><p>Minimally invasive endoluminal interventions increasingly rely on magnetic actuation to navigate narrow lumens while limiting wall loads. Here we present a contact-aware control framework for steering a deformable, silicone-based soft microrobot with embedded magnetic particles using an externally positioned permanent magnet. We develop a dynamic model capturing viscous drag, nonlinear frictional loads, and viscoelastic wall contact, and implement a closed-loop architecture that combines vision-based state estimation with model-based force inference while optimizing magnet orientation to regulate the force vector and normal reaction. Performance is evaluated in simulation and on a benchtop testbed across three control modes. In the nominal-case benchmark, force-plus-angle control reduced the root-mean-square tracking error from 4.8 to 2.1 mm (-56%), decreased peak tracking error from 14.6 to 8.0 mm (-45%), lowered the integrated performance index from 4.4 × 10^-¹⁰ to 1.6 × 10^-¹⁰ (-64%), and attenuated peak normal reaction force from 2.0 × 10^- ⁶ to 0.8 × 10^- ⁶ <i>N</i> (-60%) compared with operation without force regulation. To assess robustness, we further performed a simulation-based Monte Carlo analysis (<i>n</i> = 500 trials per mode) under parametric uncertainty and measurement noise, confirming that the contact-aware modes preserve their performance advantage; non-parametric tests indicated statistically significant inter-mode differences with moderate-to-large effect sizes. A trade-off analysis in the {tracking error, peak normal load} plane showed that, in the explored regime, improved tracking does not inherently require higher peak contact forces. Finally, a first-order shear-thinning surrogate suggested low sensitivity of the relative conclusions to moderate non-Newtonian effects. Overall, the results identify force-aware magnet orientation as a safety-relevant control degree of freedom for endoluminal navigation and provide a transferable control methodology for future magnetic microrobotic platforms.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1717944"},"PeriodicalIF":3.8,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12876258/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146145333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of liposome<b>-</b>encapsulated <i>Centella asiatica</i> ethanolic extract for enhanced <i>in vitro</i> and <i>in vivo</i> wound healing.","authors":"Piriya Chonsut, Weeratian Tawanwongsri, Jomkarn Naphatthalung, Julalak Chokpaisarn, Rawiwan Charoensup, Panupong Puttarak, Siau Hui Mah, Atitaya Roumwong, Lavanya Goodla, Auemphon Mordmuang","doi":"10.3389/fmedt.2026.1740835","DOIUrl":"10.3389/fmedt.2026.1740835","url":null,"abstract":"<p><strong>Introduction: </strong>Encapsulating herbal extracts with wound-healing properties in liposomes may enhance their stability and delivery performance. This study evaluated the biological efficacy of a liposome-encapsulated ethanolic extract of <i>Centella asiatica</i> (LEC) using in vitro and <i>in vivo</i> wound-healing models.</p><p><strong>Methods: </strong>The ethanolic extract was incorporated into liposomes using the thin-film hydration method. Anti-inflammatory activity was assessed in lipopolysaccharide (LPS)-stimulated RAW 264.7 macrophages. Cell viability and migration were evaluated in normal human dermal fibroblasts (NHDFs). <i>In vivo</i> wound-healing efficacy was examined using a rat excision wound model with daily topical application of LEC.</p><p><strong>Results: </strong>LEC significantly reduced TNF-α and IL-1β production in a dose-dependent manner and enhanced fibroblast viability and migratory capacity compared with the crude extract and vitamin E controls. In vivo, topical LEC markedly accelerated wound contraction, achieving 99.9 ± 0.1% closure by Day 12, which was significantly greater than the normal saline-treated control (<i>p</i> < 0.05) and higher than the blank liposome group, while demonstrating comparable efficacy to vitamin E. Histological analysis revealed enhanced re-epithelialization, increased collagen deposition, and reduced inflammatory cell infiltration in LEC-treated wounds.</p><p><strong>Conclusion: </strong>These findings indicate that liposomal encapsulation enhances the bioactivity of <i>C. asiatica</i> extract during the inflammatory and proliferative phases of wound repair, supporting further development of LEC as a topical wound-healing formulation.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1740835"},"PeriodicalIF":3.8,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12876173/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146145276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IoMT-Fog-Cloud-based AI frameworks for chronic disease diagnosis: updated comparative analysis with recent AI-IoMT models (2020-2025).","authors":"Kitsakorn Locharoenrat","doi":"10.3389/fmedt.2026.1748964","DOIUrl":"10.3389/fmedt.2026.1748964","url":null,"abstract":"<p><p>Chronic diseases such as diabetes and cardiovascular disease require frequent monitoring and timely clinical feedback to prevent complications. Internet of Medical Things (IoMT) systems increasingly combine near-patient sensing with Fog and Cloud computing so that time-critical preprocessing and inference can run close to the patient while compute-intensive training and population-level analytics remain in the Cloud. This review synthesizes primary studies published between 2020 and 2025 that implement AI-enabled IoMT, with an emphasis on systems that report both diagnostic performance and network quality-of-service (QoS). Following PRISMA 2020, we screened database records and included 14 primary studies; we focus the joint performance-QoS synthesis on six IoMT-Fog-Cloud frameworks for diabetes and cardiovascular disease and compare them with two recent multi-disease AI-IoMT models (DACL and TasLA). Diabetes-oriented implementations commonly report accuracy around 95%-96% using explainable or ensemble deep learning, whereas some cardiovascular frameworks report >99% accuracy in controlled settings; we therefore discuss plausible sources of optimistic performance, including small datasets, class imbalance, curated benchmarks, and potential leakage/overfitting in simulation-based evaluations. Across IoMT-Fog-Cloud studies, placing preprocessing and/or inference at the Fog layer repeatedly reduces end-to-end latency for streaming biosignals, but multi-Fog provisioning can increase energy and power demands. To support more reproducible comparisons, we organize 14 extracted metrics into (i) diagnostic performance (accuracy, precision, recall, F1-score, sensitivity, specificity) and (ii) system/network QoS (latency, jitter, throughput, bandwidth utilization, processing/execution time, network usage, energy consumption, power consumption), and we translate the evidence into study-linked design recommendations for future deployments.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1748964"},"PeriodicalIF":3.8,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12872747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146145315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical validation of non-contact vital signs in an emergency department setting.","authors":"Amit S Padaki, Alexa L Zarzour, Kelly R Keene, Carlo A Canepa, Dana R Levin, Erik L Antonsen","doi":"10.3389/fmedt.2025.1728913","DOIUrl":"10.3389/fmedt.2025.1728913","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the accuracy of heart rate and respiratory rate acquired by commercially-available device cameras and software.</p><p><strong>Methods: </strong>One-hundred and eleven subjects were enrolled at an urban academic teaching hospital in Texas. Heart rate (HR) and respiratory rate (RR) measurements were obtained using three commercially-available cameras and processed using software from Presage Technologies. These values were compared to manual counts of a three-lead ECG and end-tidal CO2 from a patient monitor.</p><p><strong>Results: </strong>The cameras were able to capture HR in 83% of the measurements and RR in 94% of the RR measurements. Camera-acquired HR showed an extremely high correlation with R∼0.99 and a root-mean-square error (RMSE) of 1.62. Respiratory rate showed a high correlation with R∼0.91 and an RMSE of 1.71.</p><p><strong>Conclusions: </strong>Heart rate and respiratory rate can be accurately acquired using commercially-available camera devices and software for signal processing.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"7 ","pages":"1728913"},"PeriodicalIF":3.8,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12864396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: A hybrid, iterative approach, to support the development of fit-for-purpose sensor-derived measures.","authors":"Belen R Ballester, Matthew Reaney, Christina Mack, Salma Ajraoui","doi":"10.3389/fmedt.2025.1756558","DOIUrl":"https://doi.org/10.3389/fmedt.2025.1756558","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fmedt.2025.1567537.].</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"7 ","pages":"1756558"},"PeriodicalIF":3.8,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12857637/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large animal models of ischemic mitral regurgitation-systematic review and meta-analysis.","authors":"Christian D Andreasen, Tanita D Jeppesen, J Michael Hasenkam, Johannes H Jedrzejczyk","doi":"10.3389/fmedt.2025.1687873","DOIUrl":"10.3389/fmedt.2025.1687873","url":null,"abstract":"<p><strong>Background: </strong>Ischaemic mitral regurgitation (IMR) is a significant complication of myocardial infarction associated with increased morbidity and mortality. Large animal models are essential for testing novel mitral valve therapies, yet no consensus exists on the optimal infarction strategy to induce IMR.</p><p><strong>Methods: </strong>A systematic review and meta-analysis were conducted to evaluate infarction strategies used to induce IMR in large animal models. Studies were identified through database searches and screened according to predefined inclusion criteria. Subgroups were stratified by infarction strategy. Proportions of IMR development and severity were analysed using a random-effects model, and reporting quality was assessed across studies.</p><p><strong>Results: </strong>Forty-four studies met the inclusion criteria, comprising 869 animals across 52 subgroups. Ethanol injection in select obtuse marginal arteries (EtOH-OMx strategy) yielded the highest rate of IMR development (87%, 95% CI: 79%-96%) with the lowest associated mortality. Ligation of obtuse marginal arteries under cardiopulmonary bypass (CPB-OM2, OM3 and CPB-OMx) demonstrated high mortality and inconsistent IMR severity. Reporting quality was variable, with frequent omissions regarding sex, randomisation, and adverse event documentation.</p><p><strong>Conclusions: </strong>This review identifies the EtOH-OMx strategy as a promising method for inducing IMR in large animal models, demonstrating favourable performance within the limitations of available data.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"7 ","pages":"1687873"},"PeriodicalIF":4.6,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12880048/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146145354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ventricular suction detection algorithm designed for ventricular assist devices.","authors":"Yijiao Wu, Yuzhuo Yang, Xudong Pan, Shunzhou Yu","doi":"10.3389/fmedt.2025.1748577","DOIUrl":"https://doi.org/10.3389/fmedt.2025.1748577","url":null,"abstract":"<p><strong>Background: </strong>Ventricular assist devices (VADs) are an effective treatment for end-stage heart failure and can significantly improve patients' quality of life. However, when the rotational speed of the VAD does not match the intraventricular blood volume, ventricular suction may occur. Severe suction can lead to ventricular collapse, making accurate and real-time suction detection critically important.</p><p><strong>Methods: </strong>Two statistical features and two frequency-domain features were extracted from the pump flow signal to build a classification and regression tree (CART) model. Additionally, a secondary decision-making process was applied using a time-domain threshold.</p><p><strong>Results: </strong>The proposed method was validated using both <i>in vivo</i> and <i>in vitro</i> experimental data. Experimental results show that, compared to existing suction detection techniques, the proposed approach not only reduces computational complexity but also achieves higher detection accuracy and enhanced algorithmic stability.</p><p><strong>Conclusions: </strong>The proposed method provides a more efficient and reliable solution for real-time ventricular suction detection, which is crucial for the safe operation of VADs in clinical settings.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"7 ","pages":"1748577"},"PeriodicalIF":3.8,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12835374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}