Results 211 to 220 of about 28,566 (291)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Studying supplier-induced demand in healthcare: an econophysics approach. [PDF]
Zavras D.
europepmc +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Targeted Therapies for Each Subtype of Breast Cancer. [PDF]
Liu A +5 more
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Research Participant Bill of Rights: Clarifying the Role of Research Physicians. [PDF]
Rothstein MA.
europepmc +1 more source
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
Should Love be Explicitly Stated as a Core Enabling Concept in the Medical Curriculum? [PDF]
Doherty CP, Donohoe CL.
europepmc +1 more source
Abstract In Canada, precarious migration is largely invisibilized. Nonetheless, b/ordering greatly affects people's realities by limiting access to social rights. In Quebec, migrants with precarious status (MPS) do not have access to healthcare, although Quebec has a “universal” healthcare coverage.
Émilie Pigeon‐Gagné +3 more
wiley +1 more source

