Artificial Intelligence Medical Compendium

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

Showing 26,621 to 26,630 of 218,283 articles

A relational agent for treating substance use in adults: A randomized controlled trial with a psychoeducational comparator.

Journal of substance use and addiction treatment
BACKGROUND: Highly accessible and scalable, digital mental health interventions can reduce barriers associated with traditional treatment. Woebot for Substance Use Disorders (W-SUD) is a smartphone application in development that uses Woebot, a guide... read more 

Characteristics and Outcomes of Over One Million Veterans with Heart Failure Phenotyped Using Artificial Intelligence Approaches: The National DCVA-HF Registry.

Journal of cardiac failure
BACKGROUND: Major heart failure (HF) registries are limited by manual chart abstraction and to hospitalized patients. Using artificial intelligence (AI) approaches and electronic health record (EHR) data from the Veterans Affairs (VA) healthcare syst... read more 

Brain-inspired strategies for efficient artificial intelligence.

Molecules and cells
Despite being constrained by a rigid skull and a fixed number of neurons, the brain excels in processing diverse information and making adaptive decisions with remarkable efficiency. This raises a central question at the intersection of neuroscience ... read more 

External Validation of the PIPRA Model for Postoperative Delirium Prediction in a Japanese ICU Cohort: Integrating AI-Based Risk Assessment into Perioperative Care.

Journal of the Academy of Consultation-Liaison Psychiatry
BACKGROUND: Postoperative delirium (POD) is a prevalent and serious complication in older surgical patients, linked to prolonged hospitalization, higher morbidity, and long-term cognitive decline. Artificial intelligence-based prediction models have ... read more 

Magnesite-modified seaweed biochar-chitosan hydrogel beads for phosphate removal: adsorption mechanism and life cycle assessment.

Bioresource technology
Although seaweed waste and magnesite tailings are abundant, their co-utilization as precursors for phosphate adsorbents remains rarely explored. Herein, a high-efficiency and regenerable magnesite-modified seaweed biochar-chitosan hydrogel bead compo... read more 

From modular engineering to practical applications: Advances in GPCR-based yeast biosensors.

Biotechnology advances
G protein-coupled receptors (GPCRs) are pivotal biosensing elements for biosensors due to their high ligand sensitivity and specificity. Capitalizing on these attributes, GPCR-based yeast biosensors have emerged as a powerful platform that combines c... read more 

Closing the loop: AI-driven integration of multi-omics and phenomics for systematic resilient crop engineering.

Biotechnology advances
Sustaining global food security amidst accelerating climate change necessitates a paradigm shift from reductionist breeding to systematic, AI-driven crop engineering. This review provides a critical synthesis of the edge-to-cloud closed-loop framewor... read more 

EEG-based schizophrenia detection using handcrafted biomarkers and a TOA-optimized hybrid multi-branch CNN-Transformer framework.

Brain research bulletin
Schizophrenia is a chronic psychiatric disorder for which electroencephalography (EEG) offers a low-cost, non-invasive window into abnormal neural dynamics. However, many EEG-based computer-aided diagnosis (CAD) pipelines still rely on a single featu... read more 

First step towards predicting clinical immunogenicity of biologics using in vitro based readouts as animal trial alternatives.

Journal of pharmaceutical sciences
Immunogenicity risk assessment is a critical step in the therapeutic development process of biologics. However, anti-drug antibodies continue to occur in the clinic, compromising safety and efficacy and contributing to discontinuation of otherwise ef... read more 

Using artificial intelligence to detect keratoconus progression based on age and anterior segment optical coherence tomography images.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
In this study, we aimed to establish and evaluate an index to define keratoconus progression based on map images obtained from anterior segment optical coherence tomography (AS-OCT) and age through deep learning. AS-OCT images and patient data were r... read more