Artificial Intelligence Medical Compendium

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

Showing 19,741 to 19,750 of 215,899 articles

Predicting mortality risk in pediatric severe pneumonia using a CNN-BiLSTM model with dynamic clinical indicators.

Respiratory medicine May 13, 2026
BACKGROUND: Severe pneumonia is a leading cause of mortality in children under 5 years old, and there is currently a lack of reliable biomarkers for early warning of adverse outcomes in the ICU. This study aimed to explore effective prognostic biomar... read more 

Anatomy Guided Truncated Conditional Diffusion Model for Super-Resolution Arterial Spin Labeling Imaging.

NeuroImage May 13, 2026
Arterial Spin Labeling (ASL) is a non-invasive magnetic resonance imaging technique used to measure cerebral blood flow. However, ASL images typically suffer from low resolution and long acquisition times because of the low signal-to-noise ratio. The... read more 

EEG-Based Clustering Shows Distinct Separation of Chronic Pain Patients Before Spinal Cord Stimulation Surgery.

NeuroImage May 13, 2026
Chronic pain is associated with disrupted cortical activity, yet individual variability in these neural patterns remains poorly understood. Electroencephalography (EEG) provides a noninvasive means of characterizing these dynamics and may help identi... read more 

Global Adoption and Readiness for Artificial Intelligence (AI) and Digital Health Technologies in Infection Prevention and Control (IPC): A WHO Global Survey.

The Journal of hospital infection May 13, 2026
BACKGROUND: Artificial intelligence and digital health technologies may strengthen Infection Prevention and Control through enhanced surveillance, decision-making, and workforce training. However, global evidence on their uptake and perceived usefuln... read more 

The Clinical Method in the Technological Era: Refinement, not Replacement.

The American journal of medicine May 13, 2026
read more 

Bispecific antibodies for cancer therapy: evolution of structural formats and co-targeting strategies from wet-lab to AI-driven in silico modeling.

Cancer letters May 13, 2026
Bispecific antibodies (BsAbs), designed to recognize two different antigens or two different epitopes on the same antigen, are generated in laboratories using various techniques, including chemical conjugation (introduced in the 1960s), cell fusion (... read more 

Diagnostic Performance Evaluation of Clinical and AI Risk Models in Patients Referred for Cardiac Amyloidosis Testing.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography May 13, 2026
BACKGROUND: To improve screening for cardiac amyloidosis (CA), several models using artificial intelligence (AI) and conventional statistics have been developed. However, few data are available to compare the relative utility of these tools. In this ... read more 

From waste to wealth: AI-driven enzyme innovation for straw transformation.

Bioresource technology May 13, 2026
Straw is a renewable resource; however, its utilization poses challenges related to efficiency and environmental impact. Traditional enzyme engineering approaches face constraints arising from the scale of the protein sequence space and the limited a... read more 

From prediction to design: Optimized design of waste wood composites via GAN-augmented interpretable machine learning.

Bioresource technology May 13, 2026
Machine learning (ML) models rapidly and accurately predict material properties at low computational cost. An ML approach combined with Generative Adversarial Networks (GAN) for data augmentation predicts the mechanical properties of waste wood-based... read more 

Efficiently quantifying thermodynamic and kinetic effects of biochar pyrolysis parameters on antibiotic adsorption from water using interpretable causal machine learning.

Bioresource technology May 13, 2026
Antibiotic pollution in aquatic environments threatens ecological and public health. Biochar is a promising biomass-derived adsorbent, yet its performance is profoundly influenced by pyrolysis parameters. This study aimed to develop an interpretable ... read more 
Popular Topics
Recent Journals