Artificial Intelligence Medical Compendium

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

Showing 22,111 to 22,120 of 216,627 articles

Gradient boundaries through confidence intervals for forced alignment estimates using model ensembles.

Phonetica
Forced alignment is a common tool to align audio with orthographic and phonetic transcriptions. Most forced alignment tools provide only point-estimates of boundaries. The present project introduces a method of producing gradient boundaries by derivi... read more 

Time-synthetic optical neural networks with stable programmable gain.

Nature communications
Optical neural networks (ONNs) offer ultrafast and energy-efficient artificial intelligence, yet their effective depth remains fundamentally limited because the core linear transformations are overwhelmingly passive, and cumulative loss rapidly degra... read more 

Deep learning-enabled size estimation of comets indicates a more dynamic early solar system.

Nature communications
The formation and evolution of the Solar System's two major comet reservoirs, the Oort Cloud and the Scattered Disk, remain poorly constrained. Observations of comet flux imply a population ratio between these reservoirs that exceeds predictions from... read more 

Research progress on biomarkers for acute kidney injury in children.

Pediatric nephrology (Berlin, Germany)
Pediatric acute kidney injury (AKI) often presents insidiously and progresses rapidly. Traditional diagnostic criteria based on serum creatinine and urine output are markedly delayed and insufficient to capture injury patterns across different etiolo... read more 

Evaluating mechanical property prediction across material classes using molecular dynamics simulations with universal machine-learned interatomic potentials.

Communications chemistry
Simulating the mechanical and thermal properties of materials requires accurate treatment of interatomic interactions, yet quantum-mechanical methods can be computationally prohibitive for the time scales needed. Universal machine-learned interatomic... read more 

Emerging Applications and Key Considerations on the Use of Artificial Intelligence in Forensic Medicine and Pathology.

The American journal of forensic medicine and pathology
Artificial intelligence (AI) has rapidly expanded across medicine, demonstrating value in image analysis, risk prediction, and data interpretation. In forensic science, AI has been explored or implemented in areas such as fingerprint examination, fac... read more 

SPMFE-UNet: shape perception and multi-scale features enhancement UNet for robust abdominal organ and skin lesion segmentation.

Biomedical physics & engineering express
Convolutional neural networks demonstrate strong performance in medical image segmentation but face clinically significant challenges due to the morphological diversity of anatomical targets-including substantial variations in shape, scale, and posit... read more 

The formation mechanism and regulation of the unique flavor in fried dough products.

Critical reviews in food science and nutrition
The distinctive aroma of fried flour-based products results from synergistic high-temperature reactions, primarily the Maillard reaction and lipid oxidation. However, these complex chemical pathways are prone to quality deterioration during processin... read more 

A Modular and Scalable FPGA Platform for Intelligent, High-Throughput Image-Activated Cell Sorting.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Image-activated cell sorting (IACS) enables high-throughput cell classification by linking cellular morphology to physiology. While integrating advanced artificial intelligence (AI) can enhance the capture of subtle morphological heterogeneity, AI mo... read more