Results 171 to 180 of about 24,617 (284)

Artificial Intelligence‐assisted Endoscopy and Examiner Confidence: A Study on Human–Artificial Intelligence Interaction in Barrett's Esophagus (With Video)

DEN Open, Volume 6, Issue 1, April 2026.
ABSTRACT Objective Despite high stand‐alone performance, studies demonstrate that artificial intelligence (AI)‐supported endoscopic diagnostics often fall short in clinical applications due to human‐AI interaction factors. This video‐based trial on Barrett's esophagus aimed to investigate how examiner behavior, their levels of confidence, and system ...
David Roser, Michael Meinikheim, Anna Muzalyova, Robert Mendel, Christoph Palm, Andreas Probst, Sandra Nagl, Markus W. Scheppach, Christoph Römmele, Elisabeth Schnoy, Nasim Parsa, Michael F. Byrne, Helmut Messmann, Alanna Ebigbo   +13 more
wiley   +1 more source

The crucial role of explainable artificial intelligence (XAI) in improving health care management. [PDF]

Health Care Manag Sci
Johannssen A, Chukhrova N.
europepmc   +1 more source

Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures. [PDF]

World J Urol, 2022
O'Sullivan S, Janssen M, Holzinger A, Nevejans N, Eminaga O, Meyer CP, Miernik A.   +6 more
europepmc   +1 more source

Explainable Artificial Intelligence (XAI) for Healthcare Diagnostics: Current Landscape, Methodologies, Challenges, and Future Directions

KABIR, EFAZ, Bhuiyan, Md Nyem Hasan, Habib, Mohammad Quayes Bin, Modak, Sanjoy, Mahtab, Abrar Shahriar   +4 more
openalex   +1 more source

Deep Quake Dynamics: A Multimodal Fault‐Aware Approach to Earthquake Magnitude and Occurrence Time Forecasting

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
EQMT integrates earthquake catalog data, fault‐network geometry, engineered features, and graph embeddings in a unified framework for forecasting earthquake magnitude and occurrence time. The framework is designed to reflect inter‐fault spatial dependencies together with temporal seismic patterns, addressing limitations of approaches based only on ...
Kiymet Kaya, Murat Sahin, Furkan Mangir, Alp Baris Beydemir, Cenk Yaltirak, Sule Gunduz Oguducu   +5 more
wiley   +1 more source

Different BI-RADS breast cancer diagnosis using MobileNetV1 and vision transformer based on explainable artificial intelligence (XAI). [PDF]

Sci Rep
Abdelsabour I, Elgarayhi A, Sallah M, Elmogy M.   +3 more
europepmc   +1 more source

Leveraging Large Language Models to Enhance Self‐Regulated Learning in Programming Education With Explainable AI

Journal of Computer Assisted Learning, Volume 42, Issue 2, April 2026.
ABSTRACT Background While prior research has shown that timely and personalised feedback improves students' learning outcomes and self‐regulation, most existing systems fail to provide actionable, individualised explanations at scale, especially in programming education. Manual feedback is resource‐intensive, and traditional Artificial Intelligence (AI)
Christopher C. Y. Yang, MinJia Li, Anna Y. Q. Huang   +2 more
wiley   +1 more source

A systematic review of EEG-based biomarkers for depression, anxiety, and bipolar disorder: trends in explainable artificial intelligence (XAI). [PDF]

BMC Psychiatry
Zhai L, Zhao M, Zhang J, Jamil M, Naz R, Li C.   +5 more
europepmc   +1 more source

Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI). [PDF]

Sensors (Basel), 2021
Dindorf C, Konradi J, Wolf C, Taetz B, Bleser G, Huthwelker J, Werthmann F, Bartaguiz E, Kniepert J, Drees P, Betz U, Fröhlich M.   +11 more
europepmc   +1 more source

Rotating Machinery Health Monitoring: Unsupervised Anomaly Detection and Remaining Useful Life (RUL) Prediction Using Explainable Artificial Intelligence (XAI) and Statistical Distribution

Lucas Costa Brito, Letícia Lorena Conceição Araújo, Gian Antonio Susto, Jorge Nei Brito, Marcus Antônio Viana Duarte   +4 more
openalex   +1 more source