Results 181 to 190 of about 25,088 (256)

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

International 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, Mahesh Choolani, Aris Papageorghiou, Hema Divakar, Hassan Shehata, Nir Melamed, Gabriel Jones, Vyta Senikas, Eline M. Van der Beek, Nandita Palshetkar, Gabrielle Saccone, Vincenzo Berghella, Justin Konje, Bhaskar Bhatt, Augusto Cam, Moses Obimbo, Anne Beatrice Kihara, Moshe Hod   +17 more
wiley   +1 more source

Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens. [PDF]

PLoS One
E Ihongbe I, Fouad S, F Mahmoud T, Rajasekaran A, Bhatia B.   +4 more
europepmc   +1 more source

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

Small, 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, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation. [PDF]

Sci Rep
Pramudito MA, Fuadah YN, Qauli AI, Marcellinus A, Lim KM.   +4 more
europepmc   +1 more source

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

Earth 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, Weihua Ai, Xianbin Zhao, Zhancai Liu, Hongwei Yang, Jiajia Tang   +5 more
wiley   +1 more source

A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging. [PDF]

J Imaging
Bhati D, Neha F, Amiruzzaman M.
europepmc   +1 more source

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

Water Resources Research, Volume 62, Issue 5, -Not available-.
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, Fubin Zhang, Li He, Yanan Tian, Yao Wang, Haochuan Guo, Xiao Liu, Mengxi He, Quanzhou Li   +8 more
wiley   +1 more source

Predicting compressive strength of hollow concrete prisms using machine learning techniques and explainable artificial intelligence (XAI). [PDF]

Heliyon
Bin Inqiad W, Dumitrascu EV, Dobre RA, Khan NM, Hammood AH, Henedy SN, Khan RMA.   +6 more
europepmc   +1 more source

eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. [PDF]

PLoS Comput Biol, 2020
Anguita-Ruiz A, Segura-Delgado A, Alcalá R, Aguilera CM, Alcalá-Fdez J.   +4 more
europepmc   +1 more source

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa, Gillian Kuehnle, Yoo Jung (Erika) Oh, Jiyoon Yi   +3 more
wiley   +1 more source