Artificial Intelligence Medical Compendium

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

Showing 23,721 to 23,730 of 217,366 articles

Estimating band importance for environmental sound recognition using deep learninga).

The Journal of the Acoustical Society of America
Environmental sound recognition (ESR) enables listeners to interpret complex acoustic environments, yet the frequency regions that support recognition are poorly understood. This study used deep learning to model ESR in competing speech and estimate ... read more 

Beyond the cell membrane: subcellular organelle-targeted nanomedicines.

Chemical communications (Cambridge, England)
Emerging from liposomes, nanomedicines have been rapidly developed into powerful tools for the diagnosis, therapy, and prevention of diseases. After bypassing from physiological barriers, most nanoparticles are interrupted on the way to subcellular o... read more 

The Influencing Factors of Medical Postgraduates' Usage Intention Toward Artificial Intelligence-Generated Content Tools in Academic Research: Qualitative Analysis.

Journal of medical Internet research
BACKGROUND: The integration of artificial intelligence-generated content (AIGC) tools into academic research offers transformative potential for enhancing productivity and innovation. However, within the highly regulated and ethically sensitive medic... read more 

Carbon dots in laboratory medicine: synthesis, properties, and applications.

Nanoscale
Carbon dots (CDs), zero-dimensional carbon-based nanomaterials, have significantly advanced laboratory medicine due to their high photoluminescence quantum yield, excellent biocompatibility, and versatile surface functionalization. This review system... read more 

The melting properties of choline chloride in the representation of deep eutectic system phase diagrams.

Physical chemistry chemical physics : PCCP
Choline chloride (ChCl) is the cornerstone of deep eutectic solvents (DES), yet its melting properties remain an important source of uncertainty in the thermodynamic description of eutectic systems. Since ChCl decomposes before melting, reported valu... read more 

GMFCC-UMA: A Fragment-Based Machine Learning Framework for Scalable Ab Initio-Quality Protein Energies.

Journal of chemical theory and computation
Fragmentation-based quantum chemistry offers a practical route to achieving ab initio quality energetics for proteins, but its applicability is often constrained by the high computational cost of fragment-level quantum mechanical (QM) calculations. H... read more 

Imaging of Small Cell Lung Cancer: An Updated Overview of Current and Emerging Applications.

Radiology. Imaging cancer
Small cell lung cancer (SCLC) is an aggressive pulmonary neuroendocrine carcinoma characterized by rapid progression and early metastasis. Despite recent therapeutic advances, including immune checkpoint inhibitors and emerging targeted agents, survi... read more 

Liposome Particle Size Prediction by In-Line Process Analytical Technology (PAT)-Integrated Machine Learning.

Small methods
Precise control of liposome size is critical for drug delivery. We developed an in-line PAT-integrated machine learning model that predicts particle size with high accuracy (root mean square error 7.18 nm) using limited experimental data. By integrat... read more 

AlveolEye: Rapid and precise lung morphometry guided by computer vision.

American journal of physiology. Lung cellular and molecular physiology
Rigorous and reproducible evaluation of lung tissue under different conditions is necessary to interpret development, injury, and pharmacologic interventions. Common histological measurements in the distal lung include mean linear intercept (MLI) as ... read more 

Data-driven outcome prediction and rational resource allocation in severe traumatic brain injury: a multicenter retrospective study integrating survival analysis and machine learning ensembles.

Acta neurologica Belgica
INTRODUCTION: Severe traumatic brain injury (sTBI), is a leading cause of death and disability among young and middle-aged populations worldwide. OBJECTIVE: sTBI is associated with high mortality and disability rates, and reliable risk estimation wit... read more