Artificial Intelligence Medical Compendium

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

Showing 39,551 to 39,560 of 223,737 articles

Intercultural communicative competence in translation teaching mediated by artificial intelligence: Cultural schema theory, mediated discourse analysis and intercultural pragmatics.

Acta psychologica
This study explores how translation teaching mediated by artificial intelligence (AI) affects learners' intercultural communicative competence (ICC) and constructs a theoretical framework based on cultural schema theory, mediated discourse analysis (... read more 

Systems-level regulation principles for microbial lignin valorization.

Current opinion in biotechnology
Lignin, the most abundant renewable source of aromatic carbon, holds strong potential for sustainable biomanufacturing. However, the complexity of lignin-derived aromatic compounds from depolymerization imposes significant challenges on the metabolic... read more 

Interpretable artificial neural network reveals region-specific controls of chlorophyll-a in the Yellow River Estuary and adjacent sea.

Marine pollution bulletin
This study developed an explainable AI-based framework integrating data augmentation, artificial neural network (ANN) modeling, and SHAP interpretation to investigate chlorophyll-a (Chl-a) variability in the Yellow River estuarine-coastal ecosystem f... read more 

Machine learning derived ORC6 as a hub biomarker for predicting tumor microenvironment, prognoses, and therapeutic responses in lung adenocarcinoma.

Translational oncology
The origin recognition complex (ORC) is a DNA-binding complex composed of six subunits involved in DNA replication in cancer cells. The prognostic and immunological implications of ORC6 in lung adenocarcinoma (LUAD) are not yet clear. This study util... read more 

Interpretable learning of temporal cellular dynamics from single-cell data.

Cell reports methods
Reconstructing temporal cellular dynamics from static single-cell transcriptomics remains a major challenge. Methods based on RNA velocity are useful, but interpreting their results to learn new biology remains difficult, and their predictive power i... read more 

Artificial Intelligence in hepatology: A position paper by the Italian Association for the Study of the Liver.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Artificial Intelligence (AI) is transforming medicine, providing unprecedented opportunities to enhance diagnosis, prognosis, and treatment across all areas of hepatology. This Position Paper by the Italian Association for the Study of the Liver (AIS... read more 

The role of digital tools and artificial intelligence in supporting antimicrobial stewardship: Study protocol for a systematic review.

Farmacia hospitalaria : organo oficial de expresion cientifica de la Sociedad Espanola de Farmacia Hospitalaria
INTRODUCTION: Since the post-antibiotic era, there has been significant difficulty in treating infectious diseases due to the increase in antimicrobial resistance, the scarcity of new antimicrobials, and the complexity of the healthcare system. The W... read more 

Empathy as a predictive signal: why we devalue AI empathy.

Trends in cognitive sciences
People devalue empathic responses believed to be edited by artificial intelligence (AI). I propose that this reflects the role of empathy as a predictive social signal: genuine human empathy updates expectations about closeness and future commitment,... read more 

Bridging the gap: aligning clinical decision support regulation with clinical practice in the era of artificial intelligence.

The Lancet. Digital health
Clinical decision support (CDS) software plays an increasingly central role in health-care delivery, yet the ambiguous interpretations of regulations result in inconsistent application in clinical practice. In this Viewpoint, we trace the evolution o... read more 

Validity evidence for the communication learning assessment: Prior coursework as a known group.

Patient education and counseling
BACKGROUND: Effective physician-patient communication is a core component of high-quality medical care, yet it remains challenging to teach and assess systematically in medical education. The Communication Learning Assessment (CLA) is an artificial i... read more