Results 211 to 220 of about 2,403,966 (311)

Age and Regional Trends in Groin Hernia Surgery in Japan: An Analysis of Laparoscopic Repair, Outpatient Surgery, and Manual Reduction Using National Database Open Data

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Using National Database open data from 2014 to 2023, this nationwide study visualizes age‐, sex‐, and region‐specific trends in groin hernia surgery in Japan. Laparoscopic surgery, outpatient surgery, and manual reduction were analyzed to estimate lifetime surgical burden and patterns of emergency‐related healthcare utilization at the population level.
Masanori Sato   +7 more
wiley   +1 more source

Contemporary Regional Disparities in Robotic‐Assisted Rectal Resection in Japan: A Nationwide Population‐Based Study Using the National Database Open Data

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Robotic‐assisted rectal resection in Japan increased markedly after national insurance reimbursement in 2018, with a concurrent decline in open surgery. Using NDB Open Data, we found substantial inter‐prefectural heterogeneity in surgical volume and robotic utilization that persisted after age and sex standardization (SCR). Urban–rural differences were
Ryo Ohta   +9 more
wiley   +1 more source

Impacts of University Departments of Rural Health to Their Regions Through Intellectual Capital. [PDF]

open access: yesAust J Rural Health
Bourke L   +6 more
europepmc   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam   +7 more
wiley   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni   +11 more
wiley   +1 more source

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