Artificial Intelligence Medical Compendium

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

Showing 57,721 to 57,730 of 227,388 articles

Beyond the North-South divide: Climatic and socioeconomic interactions shape global patterns of urban greenspace exposure inequality.

Journal of environmental management
Global analyses of urban greenspace have traditionally highlighted a North-South disparity, yet a critical gap remains in understanding how climatic and socioeconomic factors differentially drive greenspace exposure inequality across these regions. T... read more 

Emerging biosensor and assay-enabled high-throughput screening solutions for enzyme and strain engineering.

Current opinion in biotechnology
High-throughput screening (HTS) platforms and automated biofoundries have enabled large-scale experimentation in enzyme and microbial strain engineering. Central to HTS are biosensors and assays, which translate biochemical activities into measurable... read more 

AI-empowered crop protection against insect-borne diseases.

Current opinion in biotechnology
Insect-borne plant diseases, such as psyllid-transmitted citrus Huanglongbing (HLB) and whitefly-transmitted viral diseases, pose a major threat to global agriculture. These insect-borne pathogens establish in multipartite interactions with host plan... read more 

Gender-based data bias and model fairness evaluation in benchmarked open-access disease prediction datasets.

Computers in biology and medicine
The widespread use of open-access datasets for validating machine learning (ML) models has raised critical concerns about data bias and model fairness, particularly in relation to gender. This study systematically investigates gender-based data bias ... read more 

Dementia severity index: A threshold-based approach to classifying dementia levels using resting state EEG.

Computers in biology and medicine
BACKGROUND: Alzheimer's Disease (AD) and FrontoTemporal Dementia (FTD) are dementia conditions that often overlap clinically, leading to misdiagnoses. Traditional questionnaires are subjective and time-intensive, while neuroimaging is costly and less... read more 

Multi-Task Deep Learning for Sex and Age Estimation from Panoramic Radiographs in a Brazilian Young Population.

International dental journal
INTRODUCTION AND AIMS: Accurate estimation of age and sex is crucial in forensic and clinical contexts, however conventional methods are subjective and time-consuming. Panoramic radiographs offer valuable data for automated analysis. Therefore, the a... read more 

Understanding the psychological mechanisms of platform-enabled green disposal behavior: A hybrid SEM-ANN study on second-hand trading platforms.

Acta psychologica
As global textile waste continues to rise, digital secondhand trading platforms have increasingly become key arenas for promoting clothing circularity. However, existing research across countries often treats these platforms as external conduits, wit... read more 

Integrated bioinformatics and machine learning deciphering IL12RB2 and FYN as key immune biomarkers in brucellosis.

International immunopharmacology
BACKGROUND: Brucellosis remains a major zoonotic threat worldwide, and early diagnosis is challenging due to nonspecific symptoms and complex immune evasion strategies. Immune-related biomarkers may provide novel diagnostic and therapeutic clues, yet... read more 

Mushroom-derived Immunomodulators: Mechanistic insights, omics integration, AI innovation, and clinical applications in precision immunotherapy.

International immunopharmacology
Mushrooms are rich in structurally diverse bioactive compounds that exert potent immunomodulatory effects, making them promising candidates for next-generation immunotherapies. This review comprehensively examines their immunomodulatory mechanisms, e... read more 

Integrated Health Technologies in Heart Failure: A Scientific Statement From the Heart Failure Society of America and the American Association of Heart Failure Nurses.

Heart & lung : the journal of critical care
Integrated health technologies (IHTs) have emerged as promising tools for improving heart failure (HF) management by facilitating care coordination and enabling timely clinical intervention. This joint scientific statement from the Heart Failure Soci... read more