Results 151 to 160 of about 23,034 (235)

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

Examining the Relationship between Land Use/Land Cover (LULC) and Land Surface Temperature (LST) Using Explainable Artificial Intelligence (XAI) Models: A Case Study of Seoul, South Korea. [PDF]

Int J Environ Res Public Health, 2022
Kim M, Kim D, Kim G.
europepmc   +1 more source

Digital Biomarkers for Precision Early Detection of Lung Cancer: Integrating AI‐Driven Multi‐Omics Into Clinical Pathways

Cancer Medicine, Volume 15, Issue 2, February 2026.
ABSTRACT Background Lung cancer remains the leading cause of cancer‐related mortality worldwide, highlighting the urgent need for earlier detection within real‐world screening and patient management pathways. Recent advances in multi‐omics technologies have created new opportunities for identifying biomarkers associated with early‐stage lung cancer ...
Fan Bu, Zhi‐Qiang Ling
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

AI‐Enabled Intelligent Monitoring of Mental Health Indicators During Physical Activity Among Jiangsu Vocational College Students

Engineering Reports, Volume 8, Issue 2, February 2026.
This study presents an AI‐driven framework integrating wearable technology and machine learning to monitor and predict mental health indicators in vocational college students during physical activity, enabling real‐time stress detection, personalized interventions, and early prevention strategies to enhance student well‐being and mental health outcomes.
Yanfeng Shang, Yanxia Shang, Yutong Shang   +2 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

An Effective Approach for Recognition of Crop Diseases Using Advanced Image Processing and YOLOv8

Food Science &Nutrition, Volume 14, Issue 2, February 2026.
The performance of processed images is evaluated using mean‐squared‐error and peak‐signal‐to‐noise ratio. After the processing phase, an advanced deep learning model, YOLOv8, was used for the segmentation and classification of crop diseases. Using a large dataset comprising 32 diseases to train our model, we implemented Transfer Learning using YOLOv8 ...
Muhammad Nouman Noor, Muhammad Masab, Farah Haneef, Muzammil Hussain, Mateen Yaqoob, Tehseen Mazhar, Muhammad Amir Khan, Ghadah Aldehim   +7 more
wiley   +1 more source

eXplainable Artificial Intelligence (XAI): A Systematic Review for Unveiling the Black Box Models and Their Relevance to Biomedical Imaging and Sensing. [PDF]

Sensors (Basel)
Hettikankanamage N, Shafiabady N, Chatteur F, Wu RMX, Ud Din F, Zhou J.   +5 more
europepmc   +1 more source