Frontiers in Medical Technology | Medtech Data Analytics section | New and Recent Articles https://www.frontiersin.org/journals/medical-technology/sections/medtech-data-analytics RSS Feed for Medtech Data Analytics section in the Frontiers in Medical Technology journal | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-05-12T15:51:22.960+00:00 60 https://www.frontiersin.org/articles/10.3389/fmedt.2026.1800134 https://www.frontiersin.org/articles/10.3389/fmedt.2026.1800134 <![CDATA[Economic evaluation of hearing aid use and quality of life in older adults with hearing impairment in India]]> 2026-05-12T00:00:00Z Brief Research Report Rakesh Kumar SahooKrushna Chandra SahooUrmi PattanayakAbhinav SinhaAbhisek JenaLanu Wanboy AimolKavitha RajsekarDebdutta BhattacharyaSanghamitra Pati https://www.frontiersin.org/articles/10.3389/fmedt.2026.1800307 https://www.frontiersin.org/articles/10.3389/fmedt.2026.1800307 <![CDATA[Powering care at the frontlines: healthcare providers' perspectives on solarised primary health centres in rural Karnataka, India, using the WHO HHFA framework]]> 2026-05-07T00:00:00Z Original Research Veeresh TadahalRinshu DwivediRamesh Athe https://www.frontiersin.org/articles/10.3389/fmedt.2026.1780837 https://www.frontiersin.org/articles/10.3389/fmedt.2026.1780837 <![CDATA[Enhancing context-aware SARS disorder management: a proposed multi-agent simulation framework with machine learning and bio-sensor data integration]]> 2026-04-15T00:00:00Z Original Research AbdullahZulaikha FatimaNida HafeezMuhammad Ateeb AtherRolando Quintero TellezGrigori SidorovCarlos Guzmán Sánchez-MejoradaMiguel Jesús Torres Ruiz https://www.frontiersin.org/articles/10.3389/fmedt.2026.1708094 https://www.frontiersin.org/articles/10.3389/fmedt.2026.1708094 <![CDATA[Mamba-enhanced codebook learning with anatomical constraints for liver and tumor segmentation in 3D CT volumes]]> 2026-03-18T00:00:00Z Original Research Yanfei TengXiang LiZhenpeng ChenShunlin Guo https://www.frontiersin.org/articles/10.3389/fmedt.2026.1748964 https://www.frontiersin.org/articles/10.3389/fmedt.2026.1748964 <![CDATA[IoMT–Fog–Cloud-based AI frameworks for chronic disease diagnosis: updated comparative analysis with recent AI-IoMT models (2020–2025)]]> 2026-01-22T00:00:00Z Systematic Review Kitsakorn Locharoenrat 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.]]> https://www.frontiersin.org/articles/10.3389/fmedt.2025.1748577 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1748577 <![CDATA[Ventricular suction detection algorithm designed for ventricular assist devices]]> 2026-01-13T00:00:00Z Original Research Yijiao WuYuzhuo YangXudong PanShunzhou Yu https://www.frontiersin.org/articles/10.3389/fmedt.2025.1678192 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1678192 <![CDATA[Comparison of Nissen vs. Toupet fundoplication in laparoscopic hiatal hernia repair for gastroesophageal reflux disease with extra-esophageal symptoms]]> 2026-01-09T00:00:00Z Original Research Qingchao ZhuNengquan ShengZhigang WangYang Xia https://www.frontiersin.org/articles/10.3389/fmedt.2025.1702201 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1702201 <![CDATA[X-ray contrast-adjustable 3D printing for multimodal fusion of microCT and histology]]> 2026-01-09T00:00:00Z Original Research Philipp NolteChris Johann AckuratMarcel BrettmacherMarius ReichardtMarieke StammesChristoph RußmannChristian Dullin https://www.frontiersin.org/articles/10.3389/fmedt.2025.1732580 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1732580 <![CDATA[Explainable machine learning for predicting postoperative length of stay after gastrectomy: a nationwide study using XGBoost and SHAP]]> 2025-12-05T00:00:00Z Original Research Tsunehiko MaruyamaKazuto IkezawaHideo SuzukiTomohiro KurokawaYoshimasa AkashiTatsuya Oda https://www.frontiersin.org/articles/10.3389/fmedt.2025.1699821 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1699821 <![CDATA[An advanced multimodal image fusion model for accurate detection of Alzheimer's disease using MRI and PET]]> 2025-12-02T00:00:00Z Original Research Arshiya S. AnsariMohammad Sajid MohammadiCarlo CattaniAsifa Tassaddiq https://www.frontiersin.org/articles/10.3389/fmedt.2025.1685088 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1685088 <![CDATA[Explainable multi-modal machine learning for predicting occult pulmonary metastases in differentiated thyroid cancer: a SHAP-based approach prior to radioactive iodine scans]]> 2025-11-28T00:00:00Z Original Research Yuqi SuYuhuang CaiShui JinXuemei YeJaesik JeongYe YuanHeqing Yi https://www.frontiersin.org/articles/10.3389/fmedt.2025.1712952 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1712952 <![CDATA[DGA-Net: a dual-branch group aggregation network for liver tumor segmentation in medical images]]> 2025-11-26T00:00:00Z Methods Lin ZhuShuyan Liu https://www.frontiersin.org/articles/10.3389/fmedt.2025.1674343 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1674343 <![CDATA[More than just a heatmap: elevating XAI with rigorous evaluation metrics]]> 2025-10-28T00:00:00Z Original Research Dost MuhammadMalika Bendechache https://www.frontiersin.org/articles/10.3389/fmedt.2025.1621158 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1621158 <![CDATA[Using machine learning methods to investigate the impact of comorbidities and clinical indicators on the mortality rate of COVID-19]]> 2025-09-22T00:00:00Z Original Research Yueh-Chen HsiehSin ChenShu-Yu TsaoJiun-Ruey HuWan-Ting HsuChien-Chang Lee https://www.frontiersin.org/articles/10.3389/fmedt.2025.1621922 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1621922 <![CDATA[ATTNFNET: feature aware depth-to-pressure translation with cGAN training]]> 2025-09-16T00:00:00Z Original Research Neevkumar ManavarHanno Gerd MeyerJoachim WaßmuthBarbara HammerAxel Schneider https://www.frontiersin.org/articles/10.3389/fmedt.2025.1655199 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1655199 <![CDATA[Automated identification of early to mid-stage Parkinson’s disease using deep convolutional neural networks on static facial images]]> 2025-09-15T00:00:00Z Original Research Ni YangJing LiuLin WangJiajun DingLingzhi SunXianghua QiYitong LuWei Yan https://www.frontiersin.org/articles/10.3389/fmedt.2025.1644384 https://www.frontiersin.org/articles/10.3389/fmedt.2025.1644384 <![CDATA[Editorial: mHealth and smartphone apps in patient follow-up]]> 2025-07-07T00:00:00Z Editorial Uffe Kock Wiil https://www.frontiersin.org/articles/10.3389/fmedt.2024.1360280 https://www.frontiersin.org/articles/10.3389/fmedt.2024.1360280 <![CDATA[Detection and counting of Leishmania intracellular parasites in microscopy images]]> 2024-08-23T00:00:00Z Original Research Lariza María de la Caridad Portuondo-MalletNiurka Mollineda-DiogoRubén Orozco-MoralesJuan Valentín Lorenzo-Ginori https://www.frontiersin.org/articles/10.3389/fmedt.2024.1372358 https://www.frontiersin.org/articles/10.3389/fmedt.2024.1372358 <![CDATA[Editorial: New technologies improve maternal and newborn safety]]> 2024-05-30T00:00:00Z Editorial Jieyun BaiYaosheng LuHuishu LiuFang HeXiaohui Guo https://www.frontiersin.org/articles/10.3389/fmedt.2024.1297552 https://www.frontiersin.org/articles/10.3389/fmedt.2024.1297552 <![CDATA[Influence of sports on cortical excitability in patients with spinal cord injury: a TMS study]]> 2024-05-15T00:00:00Z Original Research Vanessa N. FreyPatrick B. LangthalerNora RenzGeorg ZimmermannChristopher HöhnKerstin SchwenkerAljoscha ThomschewskiAlexander B. KunzYvonne HöllerRaffaele NardoneEugen Trinka