AIMC Topic: Humans

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Predicting Postoperative Stress Urinary Incontinence After Prolapse Surgery via Machine Learning and Regression Models: Development and Validation Study.

JMIR medical informatics
BACKGROUND: Pelvic organ prolapse (POP) and stress urinary incontinence (SUI) often concurrently exist. The incontinence in some patients with POP resolves after POP surgery, but it persists in others. Some patients without SUI before surgery may dev...

Effectiveness of Communication Competence in AI Conversational Agents for Health: Systematic Review and Meta-Analysis.

Journal of medical Internet research
BACKGROUND: With advancements in artificial intelligence and large language models, researchers and designers have increasingly focused on enhancing the conversational capacity of health-related conversational agents (CAs). Communication competence, ...

Evaluating the Clinical Effectiveness and Patient Experience of a Large Language Model-Based Digital Tool for Home-Based Blood Pressure Management: Mixed Methods Study.

JMIR mHealth and uHealth
BACKGROUND: Hypertension, one of the most common cardiovascular conditions worldwide, necessitates comprehensive management due to its association with multiple health risks. Effective control often involves lifestyle changes and continuous monitorin...

Performance of AI Chatbots on Head and Neck Pathology Board-Style Exam Questions and Guidelines for Responsible Use.

Head and neck pathology
The promising integration of artificial intelligence (AI), particularly large language models (LLMs) or AI chatbots, into medical education and practice necessitates rigorous evaluation of their capabilities. While chatbot performance has been assess...

Phantom studies in medical imaging (PSMI): a guide with recommendations and checklist.

European radiology experimental
Phantom studies are essential in medical imaging, offering a controlled and reproducible framework for evaluating imaging technologies across all modalities. Phantoms, whether physical (synthetic, biological, or mixed) or computational, simulate huma...

The research landscape and evolutionary trends of robot-assisted orthopedic telesurgery: a bibliometric and visualized analysis.

Journal of robotic surgery
This study employed bibliometric methodologies to systematically investigate the research landscape and evolutionary trajectory of robot-assisted orthopedic telesurgery (RAOTS) from 2010 to 2025. A visual analysis of 3,226 publications indexed in the...

Artificial intelligence-driven diagnosis for age-related macular degeneration bridging pathology and engineering: a survey.

International ophthalmology
Age-related macular degeneration (AMD) is the primary reason for severe visual impairments, making early diagnosis critically important. This paper provides a comprehensive review of the methods used to support screening and diagnostic decisions, foc...

Identifying subtypes of functional dentition in older adults: a population-based regression and latent class analysis.

Clinical oral investigations
OBJECTIVES: This study aimed to explore the latent factors associated to functional dentition (FD), quantify their clustering across probability levels, and derive precision prevention strategies.

Characterization of binding kinetics and intracellular signaling of new psychoactive substances targeting cannabinoid receptor using transition-based reweighting method.

eLife
New psychoactive substances (NPS) targeting human cannabinoid receptor 1 pose a significant threat to society as recreational abusive drugs that have pronounced physiological side effects. These greater adverse effects compared to classical cannabino...

From biological vision to artificial intelligence: The role of foundational predictive processing.

The Behavioral and brain sciences
This commentary integrates Coombs and Trestman's trait-linkage hypothesis with Teufel and Fletcher's neurocomputational predictive framework to propose that high-resolution visual systems operate as intrinsic bottom-up predictive mechanisms. By mergi...