What is in the toolkit (and what are the tools)? How to approach the study of doctor-patient communication. [PDF]
Cox C, Fritz Z.
europepmc +1 more source
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Developing a Quality Evaluation Index System for E-Consultation Doctor-Patient Communication Using the Delphi Method. [PDF]
Liao J +7 more
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Doctor-patient communication: The link to a harmonious doctor-patient relationship
Xianqing Song
doaj +1 more source
From numerical to empathy: the dual impact of psychological contracts in doctor-patient communication. [PDF]
Wang X +7 more
europepmc +1 more source
Digital technology in medical visits: a critical review of its impact on doctor-patient communication. [PDF]
Marino F +3 more
europepmc +1 more source
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
Correction: From numerical to empathy: the dual impact of psychological contracts in doctor-patient communication. [PDF]
Wang X +7 more
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

