Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 32,021 to 32,030 of 220,797 articles

ToxCML: A Hybrid mfCoQ-RASAR-Based Platform Integrating Consensus QSAR and Read-Across for Comprehensive Multi-End Point Toxicity Assessment.

Journal of chemical information and modeling
Computational in silico methods offer a powerful alternative to animal-based toxicity testing, which remains time-consuming, expensive, and ethically challenging. In practice, QSAR and read-across (RA) are among the most widely explored approaches, y... read more 

MultiMindNet: AI-based mental health analysis using hybrid deep learning approach and Hybrid Ant-Grey Wolf Optimization (HAGWO) algorithm.

PLOS digital health
Mental health disorders like depression and anxiety pose global challenges, requiring accurate, non-invasive detection methods. Classical modes of diagnosis are typically based on self-reported symptoms or clinical evaluation, which could be subjecti... read more 

Integrating digital technologies in shared reading: Effects of conversational agents on adult-child interaction and children's language learning.

Developmental psychology
As digital technologies increasingly shape children's early learning experiences, their role in supporting foundational literacy practices, such as shared reading, warrants investigation. The current article examined whether conversational agents (CA... read more 

Designing Psychologically Grounded Artificial Intelligence for Supporting Bystander-Based Cyberaggression Intervention: Mixed Methods Exploratory Study.

JMIR formative research
BACKGROUND: Cyberaggression poses a growing threat to mental health, contributing to increased distress, reduced self-esteem, and other adverse psychosocial outcomes. Although bystander intervention can mitigate the escalation and impact of cyberaggr... read more 

Generative AI in disability-inclusive learning: a bibliometric and systematic literature analysis.

Disability and rehabilitation. Assistive technology
Generative Artificial Intelligence (GenAI) has rapidly permeated education, with growing implications for disability-inclusive practice. Objective: This review maps GenAI uses for students with disabilities since public LLM adoption, identifies resea... read more 

Web-Based Personalized Machine Learning Recommendations to Enhance Shared Decision-Making in Prostate-Specific Antigen Screening: Randomized Controlled Trial.

JMIR aging
BACKGROUND: Prostate‑specific antigen (PSA) screening involves complex trade‑offs between early detection and the risks of overdiagnosis. For older adults (aged ≥50 years), shared decision‑making (SDM) is often hindered by limited health literacy, se... read more 

Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced Data.

JMIR medical informatics
BACKGROUND: Despite the increasing use of machine learning (ML) in clinical research, the early stages of data preparation, especially for structured clinical data, often receive limited methodological scrutiny. These datasets typically contain missi... read more 

Integrating Gait Analysis and AI Into Knee Osteoarthritis Care: Protocol for a 3-Phase Participatory Qualitative Study.

JMIR research protocols
BACKGROUND: Knee osteoarthritis (OA) leads to pain, disability, and reduced quality of life. For advanced stages, knee arthroplasty surgery is the standard treatment, yet dissatisfaction and persistent mobility deficits remain common. Current surgica... read more 

Global Anthropogenic Phosphorus Inputs and Future Sustainability Solutions.

Environmental science & technology
Understanding global anthropogenic phosphorus inputs is crucial for sustainable nutrient management. We apply the Net Anthropogenic Phosphorus Input (NAPI) model to assess trends across countries from 1961 to 2020. Using a random forest (RF) model, w... read more 

Exploring Metabolic Changes in Children with Congenital Hypothyroidism: A Serum Metabolomic Study Combined by Machine Learning.

Journal of proteome research
Congenital hypothyroidism (CH) is a genetic endocrine disorder that can cause developmental delays if it is untreated. In this study, NMR-based metabolomics was employed to analyze serum samples from CH children and healthy controls across different ... read more