Results 201 to 210 of about 55,142 (282)

Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet‐of‐things (IOT) and point‐of‐care testing (POCT) devices

open access: yesInternational Journal of Gynecology &Obstetrics, Volume 173, Issue 2, Page 602-613, May 2026.
Abstract The integration of artificial intelligence (AI) into healthcare is accelerating and maternity care is at a pivotal moment for the strategic implementation of these technologies. This article explores how AI‐assisted women's health innovations, often termed “FemTech,” may transform pregnancy care by addressing long‐standing disparities ...
Lin Foo   +17 more
wiley   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

open access: yesSmall, Volume 22, Issue 26, 8 May 2026.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun   +4 more
wiley   +1 more source

Improved Tropical Cyclone Wind Estimation Using Dual‐Polarization C‐Band SAR and Machine Learning

open access: yesEarth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Tropical cyclones (TCs) characterized by extreme wind speeds present severe hazards to human life and infrastructure. Spaceborne synthetic aperture radar (SAR) has emerged as a critical observational tool for TCs, owing to its all‐weather, high‐resolution imaging capabilities.
Chaogang Guo   +5 more
wiley   +1 more source

Explainable AI-Driven Quality and Condition Monitoring in Smart Manufacturing. [PDF]

open access: yesSensors (Basel)
Ahangar MN   +4 more
europepmc   +1 more source

An Interpretable Physics‐Guided Deep Learning (IPGDL) Framework for Blue‐Green Water Robust Projection and Nonlinear Interpretation in the River Basin

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Blue water (BW) and green water (GW) resources are fundamental to the hydrological cycle, yet their effective future projection and mechanistic understanding remain challenging. Both physics‐based and data‐driven models have limitations in complex hydrological long‐term projection and nonlinear interpretation.
Zhonghui Guo   +7 more
wiley   +1 more source

Leveraging the TabPFN Algorithm for High‐Resolution Mapping of Groundwater Bicarbonate and Its Scaling Risk Across China

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Large‐scale groundwater quality prediction is often constrained by sparse sampling, limiting the reliability of spatial assessments. This study introduces Tabular Prior‐data Fitted Network (TabPFN), a machine learning model based on prior‐fitting networks, to address this challenge and enable high‐precision mapping of groundwater bicarbonate ...
Tong Sun   +8 more
wiley   +1 more source

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