Results 201 to 210 of about 55,142 (282)
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
Explainable artificial intelligence (XAI) in medical imaging: a systematic review of techniques, applications, and challenges. [PDF]
Ahmed F +5 more
europepmc +1 more source
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
Decoding the "black-box": explainable artificial intelligence towards trustworthy advancement in respiratory medicine. [PDF]
Marchi G.
europepmc +1 more source
Improved Tropical Cyclone Wind Estimation Using Dual‐Polarization C‐Band SAR and Machine Learning
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]
Ahangar MN +4 more
europepmc +1 more source
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
Editorial: AI with insight: explainable approaches to mental health screening and diagnostic tools in healthcare. [PDF]
Smrke U +4 more
europepmc +1 more source
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
Use of explainable AI (xAI) in dementia detection and prognosis: a scoping review. [PDF]
Nguyen PA, Din FU, Krug M, Jones R.
europepmc +1 more source

