AIMC Topic: Humans

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Multimodal Data-Driven Explainable Prognostic Model for Major Adverse Cardiovascular Events Prediction in Patients With Unstable Angina and Heart Failure With Preserved Ejection Fraction: Multicenter, Cross-Regional Cohort Study.

Journal of medical Internet research
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) and unstable angina (UA) often coexist in clinical practice, constituting a high-risk cardiovascular phenotype with a markedly increased incidence of major adverse cardiovascular even...

Development and Validation of a Revised Multidimensional Digital Health Literacy Scale: Secondary Analysis Using Cross-Sectional Data From the 2022 GetCheckedOnline Community Survey In British Columbia, Canada.

Journal of medical Internet research
BACKGROUND: Digital technologies are reshaping health care, making digital health literacy (DHL) a critical competency for navigating online health information. Although widely conceived and measured as a unidimensional measure of DHL, the literature...

Artificial Intelligence-Assisted Scribing for Chronic Pain Care: A Narrative Review.

Current pain and headache reports
PURPOSE OF REVIEW: Medical documentation is a significant pillar of healthcare, enabling quality care, legal protection, billing and reimbursement, and collaboration between physicians. However, it is time-consuming and resource-intensive, posing a s...

Imaging pathways in spondyloarthritis: integrating radiography, ultrasonography, magnetic resonance imaging, low-dose computed tomography, and artificial intelligence methods : Radiology and AI in SpA.

Rheumatology international
Spondyloarthritis (SpA) refers to a family of chronic inflammatory rheumatic conditions characterized by axial and/or peripheral manifestations. Early detection of SpA is crucial for improving long-term patient outcomes and necessitates a refined dia...

Systematic evaluation of deepseek in urolithiasis: from medical knowledge to clinical decision support.

World journal of urology
BACKGROUND: Large language models (LLMs), such as ChatGPT, have demonstrated promising potential in medical knowledge retrieval and clinical decision support. DeepSeek, a China-developed model released in 2025, has been proposed as a medical AI tool,...

Impact of the breathing motion prediction horizon on the performance of bidirectional classical recurrent neural and temporal Kolmogorov-Arnold networks.

Physics in medicine and biology
For surface-based breathing motion prediction, which is essential to overcome inherent system latencies of active motion management strategies in radiotherapy, long short-term memory (LSTM) networks and related networks-bidirectional LSTMs (BiLSTMs),...

seg2med: a bridge from artificial anatomy to multimodal medical images.

Physics in medicine and biology
. We present seg2med (segmentation-to-medical images), a modular framework for anatomy-driven multimodal medical image synthesis. The system integrates three components to enable high-fidelity, cross-modality generation of computed tomography (CT) an...

New insights into automatic treatment planning for cancer radiotherapy using explainable artificial intelligence.

Physics in medicine and biology
This study aims to uncover the opaque decision-making process of an artificial intelligence (AI) agent for automatic treatment planning.We examined a previously developed AI agent based on the actor-critic with experience replay (ACER) network, which...

[The Development of Algorithm of Intellectual System of Supporting Decision-Making in Mammographic Diagnostics of Breast Cancer Based on Convolutional Neuronic Network].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
The article considers issues of training models of convolutional neuronic network (CNN) for automated identification of point functions of visualization to discern mammography pictures belonging to negative, false benign and malignant cases, targetin...

Leveraging Artificial Intelligence to Enhance Screening, Brief Intervention, and Referral to Treatment Training for Psychiatric Mental Health Nurse Practitioner Students: A Case Study and Future Directions for Virtual Reality Integration.

Journal of doctoral nursing practice
Psychiatric mental health nurse practitioners (PMHNPs) play a vital role in addressing substance use disorders, particularly in underserved regions. This article aimed to explore the effectiveness of artificial intelligence (AI)-generated Screening...