Artificial Intelligence Medical Compendium

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

Showing 47,911 to 47,920 of 224,199 articles

A Deep Learning Model for Artery of Adamkiewicz Detection in Bronchial Artery Embolization: A Multicenter Retrospective Study.

Journal of vascular and interventional radiology : JVIR
PURPOSE: To evaluate the effectiveness of a deep learning model for recognizing the artery of Adamkiewicz and anterior spinal artery (ASA) to prevent spinal artery non-target embolization during bronchial artery embolization (BAE). MATERIALS AND METH... read more 

TASNet: A tri-modal attentive scale robust adaptive fusion framework for progressive mild cognitive impairment classification.

Journal of neuroscience methods
BACKGROUND: Accurate prediction of progressive Mild Cognitive Impairment (pMCI) versus stable MCI (sMCI) is crucial for early Alzheimer's disease (AD) intervention and delaying disease progression. The combination of Positron Emission Tomography (PET... read more 

An optimized hierarchical attention assisted deep learning model for brain tissue classification.

Journal of neuroscience methods
BACKGROUND & OBJECTIVE: Precise differentiation of brain tissue from Magnetic Resonance Imaging is a vital constraint in various medical applications. Several studies have conducted on brain tissue classification and segmentation, which offer limitat... read more 

Binder2030: a quantitative membrane proteome binding dataset enabling AI-driven drug discovery.

SLAS discovery : advancing life sciences R & D
Membrane proteins represent more than half of therapeutic targets but remain underrepresented in quantitative ligand-binding datasets. Here we report Binder2030, a curated affinity selection-mass spectrometry (ASMS) dataset comprising 3384 small-mole... read more 

Predicting non-coding RNA function using Artificial Intelligence.

Journal of biomedical informatics
OBJECTIVE: Non-coding RNAs (ncRNAs) are involved in various important biological processes, relevant disease biomarkers and therapeutic agents. However, information remains sparsely distributed, mostly in articles. It is then of pivotal importance to... read more 

Effective connectivity of implicit emotion processing in adolescent psychiatric inpatients: Dynamic causal modeling across bipolar disorder and other psychopathologies.

Journal of affective disorders
BACKGROUND: Pediatric bipolar disorder(BD) is difficult to distinguish from other psychiatric disorders, a challenge which can result in delayed or incorrect interventions. Understanding objective neural markers reflecting a dysfunction in recognizin... read more 

Predicting the tabletability of binary mixtures from individual powder compaction behavior.

International journal of pharmaceutics
Successful development of direct-compression formulations can be hindered by poor compactibility of active pharmaceutical ingredients active pharmaceutical ingredients (APIs), necessitating rational formulation strategies. This work presents a neural... read more 

Breaking resistance in BRAF-mutant Melanoma: Novel strategies and biomarkers for optimizing targeted therapies.

European journal of pharmacology
In metastatic melanoma with a BRAFV600 mutation, inhibitors of BRAF and MEK have improved survival. Resistance may be acquired through late genetic alterations that restore mitogen-activated protein kinase (MAPK) signaling. Resistance can also be ada... read more 

Operationalizing the malnutrition-based chronic disease model in adults.

Clinical nutrition ESPEN
The malnutrition-based chronic disease (MBCD) model for use in adults to optimize nutrition care is a framework based on epidemiological classifiers, pathophysiological mechanisms, and clinical evidence, designed to address persistent research, knowl... read more