Artificial Intelligence Medical Compendium

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

Showing 46,821 to 46,830 of 224,199 articles

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure.

Open heart
BACKGROUND: Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current clinical practice lacks effective tools for early ... read more 

Query Matters: How Selection Strategies Influence Active Learning in Drug Discovery.

Journal of chemical information and modeling
We present SimDMTA, an in silico framework designed to simulate the Design-Make-Test-Analyze (DMTA) cycle used in preclinical drug discovery. Using docking scores as a proxy for biological assays, the simulations allow factors controlling the efficie... read more 

Patient perceptions of artificial intelligence in ophthalmology: a cross-sectional survey study.

The British journal of ophthalmology
BACKGROUND/AIMS: Patients have largely been excluded from discussions on the use of their health data in developing medical artificial intelligence (AI), despite being directly affected by its integration into care. This study assessed ophthalmology ... read more 

Longitudinal Strain by Artificial Intelligence-Driven Automated Strain Analysis for Left Ventricular Function Evaluation and Infarct Region Estimation.

Journal of clinical ultrasound : JCU
PURPOSE: Accurate evaluation of left ventricular (LV) dysfunction and infarct localization in acute myocardial infarction (AMI) remains challenging due to subjective variability in conventional echocardiographic analysis. This study validates an arti... read more 

Recent insights for fish allergens: novel processing techniques and detection technology.

Journal of the science of food and agriculture
Fish allergy is a common food-related allergic reaction that can lead to serious health issues and poses a significant challenge to global food safety. To facilitate a clear understanding of risk prevention and control for fish allergy, we provide a ... read more 

Medium-Range Structural Order in Amorphous Arsenic.

Journal of the American Chemical Society
Medium-range order (MRO) is a key structural feature of amorphous materials, but its origin and nature remain elusive. Here, we reveal the MRO in amorphous arsenic (a-As) using advanced atomistic simulations, based on machine-learned potentials deriv... read more 

Multifunctional movable-type coding metasurface enabling reconfigurable diffractive neural networks.

Light, science & applications
Optical computing holds significant promise across diverse applications due to its low latency, power efficiency, and multidimensional processing capabilities. However, current diffraction neural networks (DNNs) generally lack reconfigurability, limi... read more 

A dataset of midpalatal suture maturation stage in cone-beam computed tomography.

Scientific data
In the field of orthodontics, the degree of fusion of the midpalatal suture (MPS) is a crucial factor in determining the most appropriate maxillary expansion technique. This study analyzed 600 cone-beam computed tomography (CBCT) scans from patients ... read more 

Decoding local framework dynamics in the ultra-small pore MOF MIL-120(Al) CO2 adsorbent using machine-learning potential.

Nature communications
Metal-organic frameworks (MOFs) with ultra-small pores offer an optimal environment to effectively capture guest molecules such as CO2. Subtle local dynamics of their frameworks, either throughout reorientation of functional groups grafted to the org... read more 

CMAF-Net: cross-modal attention fusion with information-theoretic regularization for imbalanced breast cancer histopathology.

Scientific reports
Breast cancer diagnosis from histopathology images remains challenging due to two intertwined factors: severe class imbalance, where malignant cases represent a small minority of samples, and the need to integrate discriminative features across multi... read more