Results 181 to 190 of about 24,617 (284)

Standardised Transparent Orthopaedic Reporting and Modelling for AI (STORM‐AI)—Guidelines for reporting artificial intelligence studies in orthopaedics from the ESSKA AI Working Group

Journal of Experimental Orthopaedics, Volume 13, Issue 2, April 2026.
Abstract Purpose The rapid growth of Artificial Intelligence (AI) in orthopaedic research has led to inconsistencies in study reporting, hindering evaluation and clinical translation. This initiative aimed to develop the STORM‐AI (Standardised Transparent Orthopaedic Reporting and Modelling‐AI) guidelines to enhance the transparency, completeness, and ...
Felix C. Oettl, Bálint Zsidai, Yinan Yu, James Pruneski, Thomas Tischer, Ayoosh Pareek, Alberto Grassi, Stefano Zaffagnini, Michael T. Hirschmann, Kristian Samuelsson, ESSKA Artificial Intelligence Working Group   +10 more
wiley   +1 more source

A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision. [PDF]

Sensors (Basel)
Cheng Z, Wu Y, Li Y, Cai L, Ihnaini B.
europepmc   +1 more source

Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA. [PDF]

Sci Rep, 2021
Ahmed ZU, Sun K, Shelly M, Mu L.
europepmc   +1 more source

Multicentre Evaluation of an AI‐Assisted Urine Test for Clinically Significant Prostate Cancer in Men Undergoing Initial Biopsy

Journal of Extracellular Vesicles, Volume 15, Issue 4, April 2026.
ABSTRACT The Extracellular Vesicles Gene‐based Prostate Score (EGPS), powered by DeepSeek, is an artificial intelligence (AI) diagnostic tool that enhances the detection of clinically significant prostate cancer (csPCa) using urinary EV‐derived gene expression, without requiring digital rectal examination (DRE).
Shaoqin Jiang, Chunguang Yang, Zhangcheng Huang, Zebang Guo, Feiting Lu, Xinwen Nian, Zhenlin Chen, Pengwei Luo, Jiawei Jiang, Xu Gao, Mengqiang Li, Fei Liu   +11 more
wiley   +1 more source

How Should Artificial Intelligence Explain Itself? Understanding Preferences for Explanations Generated by XAI Algorithms

, 2021
Yanou Ramon, Tom Vermeire, David Martens, Theodoros Evgeniou, Olivier Toubia   +4 more
openalex   +1 more source

3D Polymeric Nanonetworks: From Self‐Assembly to Advanced Fabrication

Macromolecular Materials and Engineering, Volume 311, Issue 4, April 2026.
This review provides the first systematic cross‐method comparison of fabrication techniques for 3D polymeric nanonetworks. It evaluates five key strategies—block copolymer self‐assembly, hyper‐crosslinking, template‐assisted methods, 3D printing, and nanolithography—across critical metrics including resolution, throughput, scalability, and material ...
Carlos G. Cobos, Xiang Yan, Marisol Martín‐González   +2 more
wiley   +1 more source

Demystifying the black box: A survey on explainable artificial intelligence (XAI) in bioinformatics. [PDF]

Comput Struct Biotechnol J
Budhkar A, Song Q, Su J, Zhang X.
europepmc   +1 more source

Utilization of Machine Learning and Explainable Artificial Intelligence (XAI) for Fault Prediction and Diagnosis in Wafer Transfer Robot

Jeong Eun Jeon, Sang Jeen Hong, Seung-Soo Han   +2 more
openalex   +1 more source

Using Machine Learning to Uncover Ecological Mechanisms Controlling Abundance of Phytoplankton Size Classes From Large‐Scale Observations

Global Biogeochemical Cycles, Volume 40, Issue 4, April 2026.
Abstract Phytoplankton size classes (PSCs) and Phytoplankton functional types (PFTs) determine many fundamental biogeochemical processes including nutrient uptake, energy transfer through marine food webs, ocean carbon export, and gas exchange with the atmosphere. Discerning the causes of spatio‐temporal variability of PSCs is a scientific priority for
Sandupal Dutta, Anand Gnanadesikan
wiley   +1 more source

Utilization of Explainable Artificial Intelligence (XAI)-Powered Computer-Aided Detection (CAD) System on Chest X-Ray Abnormalities in Health Check-Ups. [PDF]

Yonago Acta Med
Nishii S, Tomita K, Touge H, Yamamoto H, Shigeshiro K, Yamasaki A.   +5 more
europepmc   +1 more source