AIMC Topic: Artificial Intelligence

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FedMedSecure: federated few-shot learning with cross-attention mechanisms and explainable AI for collaborative healthcare cybersecurity.

Scientific reports
The proliferation of Internet of Medical Things (IoMT) devices has created cybersecurity challenges that requiring advanced threat detection techniques along with preserving patient privacy. This paper introduces FedMedSecure, a federated few-shot le...

Evaluation of Cancer Survivors' Experience of Using AI-Based Conversational Tools: Qualitative Study.

JMIR cancer
BACKGROUND: Cancer survivorship is a complicated, chronic, and long-lasting experience, causing uncertainty and a wide range of physical and emotional health concerns. Due to the complexity of cancer, patients often seek out multiple sources of healt...

Exploring the Intersection of Nursing Leadership and Artificial Intelligence: Scoping Review.

JMIR nursing
BACKGROUND: As artificial intelligence (AI) technology permeates health care settings, nurse leaders must position themselves to shape its development, implementation, and impact, guiding meaningful change that benefits nurses and care delivery. Nurs...

AI-driven software for automated quantification of skeletal metastases and treatment response evaluation using whole-body diffusion-weighted MRI (WB-DWI) in advanced prostate cancer.

Physics in medicine and biology
. Quantitative assessment of treatment response in advanced prostate cancer (APC) with bone metastases remains an unmet clinical need. Whole-body diffusion-weighted MRI (WB-DWI) provides two response biomarkers: total diffusion volume (TDV) and globa...

Towards an optimized paradigm: generative adversarial networks and 3D modeling in landscape design and generation.

PloS one
Virtual reality (VR) integrates technologies like computer graphics, artificial intelligence, and multi-sensor systems, creating transformative tools for designers and users. This study proposes a novel urban landscape design method using 3D laser sc...

Uncovering the Influence of Land Cover and Climate Extremes on Wildfire Smoke PM in the United States Using Explainable Artificial Intelligence.

Environmental science & technology
Fine particulate matter (PM) from wildfire smoke has emerged as a significant environmental health threat in the United States (U.S.), yet the combined roles of climate extremes and land cover in shaping wildfire smoke PM exposure remain poorly under...

Label-free phenotypic antimicrobial susceptibility testing on microfluidic platforms: a review of advances and translation.

Mikrochimica acta
The escalating global threat of antimicrobial resistance (AMR) necessitates a paradigm shift towards rapid and scalable diagnostic technologies. Conventional antimicrobial susceptibility testing (AST) methods, while reliable, are hindered by prolonge...

Modeling public trust in AI cognitive capabilities using statistical and machine learning approaches.

Scientific reports
As artificial intelligence (AI) systems increasingly perform cognitive functions, assessing public trust in these capabilities is critical. This study investigates the impact of age, gender, and familiarity with AI on confidence in AI's ability to ma...

Perceptions and Intentions to Use Generative AI Among First-Year Medical Students in Japan: Cross-Sectional Survey Study.

JMIR medical education
An April 2025 survey of 118 first-year Japanese medical students found high use of generative artificial intelligence (84.7%) but limited formal learning (49.2%), with strong learning interest yet neutral assignment use, indicating a need for structu...

Teledermatology to Support Self-Care in Chronic Spontaneous Urticaria.

JMIR dermatology
Chronic spontaneous urticaria (CSU) is an autoimmune prompted skin disorder, whose hallmarks include the unpredictable onset of hives and itch. Symptom duration typically exceed 6 weeks, and flares can occur for up to 5 years or longer if untreated, ...