Results 171 to 180 of about 56,159 (288)

AI and Big Data in Oncology: A Physician‐Centered Perspective on Emerging Clinical and Research Applications

Cancer Innovation, Volume 5, Issue 1, February 2026.
Artificial intelligence and big data platforms are transforming oncology clinical practice. This review proposes a physician‐centered framework to integrate AI tools with real‐world data, supporting more precise diagnosis, individualized treatment, and improved patient outcomes.
Binliang Liu, Qingyao Shang, Jun Li, Shuna Yao, Meishuo Ouyang, Yu Wang, Sheng Luo, Quchang Ouyang   +7 more
wiley   +1 more source

Research trends and ethical perspectives on explainable artificial intelligence in emergency medicine: a bibliometric analysis. [PDF]

Scand J Trauma Resusc Emerg Med
Fındık M.
europepmc   +1 more source

Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations [PDF]

Tommaso Turchi, Alessio Malizia, Fabio Paternò, Simone Borsci, Alan Chamberlain   +4 more
openalex   +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

Explainable artificial intelligence in pancreatic cancer prediction: from transparency to clinical decision-making. [PDF]

Front Oncol
Alharbi W, Alfayez AA.
europepmc   +1 more source

Explainable (XAI) Prediction of Dementia in e-Consult's Using Natural Language Processing

Pouria Mortezaagha, Ramtin Hakimjavadi, Danica Goulet, Douglas Archibald, Julia Britton, Clare Liddy, Sathya Karunananthan, Arya Rahgozar   +7 more
openalex   +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

Explainable deep learning for skin cancer detection using swish-activated convolutional networks. [PDF]

Discov Oncol
Mukherjee S, Chandrakar K, Chowdhury S, Senniappan V, Roy B, Panigrahi A, Pati A, Sahu B, Kant S.   +8 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

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