AI Medical Compendium Topic

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

Time Factors

Showing 321 to 330 of 1859 articles

Clear Filters

Alternative states in microbial communities during artificial aeration: Proof of incubation experiment and development of recurrent neural network models.

Water research
Artificial aeration, a widely used method of restoring the aquatic ecological environment by enhancing the re-oxygenation capacity, typically relies upon empirical models to predict ecological dynamics and determine the operating scheme of the aerati...

Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel.

Neural networks : the official journal of the International Neural Network Society
This work addresses the quasi-synchronization of delay master-slave BAM neural networks. To improve the utilization of channel bandwidth, a dynamic event-triggered impulsive mechanism is employed, in which data is transmitted only when a preset event...

Early chest tube removal regardless of drainage volume after anatomic pulmonary resection: A multicenter, randomized, controlled trial.

The Journal of thoracic and cardiovascular surgery
OBJECTIVES: This study aimed to evaluate the safety and feasibility of early chest tube removal after anatomic pulmonary resection, regardless of the drainage volume.

GRAND: GAN-based software runtime anomaly detection method using trace information.

Neural networks : the official journal of the International Neural Network Society
Software runtime anomaly detection can detect manifestations (known as anomalies) caused by faults in complex systems before they lead to failure. Whereas most existing methods use external performance indicators, this study uses internal execution t...

Reservoir computing models based on spiking neural P systems for time series classification.

Neural networks : the official journal of the International Neural Network Society
Nonlinear spiking neural P (NSNP) systems are neural-like membrane computing models with nonlinear spiking mechanisms. Because of this nonlinear spiking mechanism, NSNP systems can show rich nonlinear dynamics. Reservoir computing (RC) is a novel rec...

Efficacy and Safety of Chinese Herbal Medicine in Patients with Acute Intracerebral Hemorrhage: Protocol for a Randomized Placebo-Controlled Double-Blinded Multicenter Trial.

Cerebrovascular diseases (Basel, Switzerland)
INTRODUCTION: The popular traditional Chinese medicine (TCM) compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) through effects on brain edema, hematoma absorption, and the immune system...

Learning pharmacometric covariate model structures with symbolic regression networks.

Journal of pharmacokinetics and pharmacodynamics
Efficiently finding covariate model structures that minimize the need for random effects to describe pharmacological data is challenging. The standard approach focuses on identification of relevant covariates, and present methodology lacks tools for ...

Saturation function-based continuous control on fixed-time synchronization of competitive neural networks.

Neural networks : the official journal of the International Neural Network Society
Currently, through proposing discontinuous control strategies with the signum function and discussing separately short-term memory (STM) and long-term memory (LTM) of competitive artificial neural networks (ANNs), the fixed-time (FXT) synchronization...

Ultra-fast deep-learned CNS tumour classification during surgery.

Nature
Central nervous system tumours represent one of the most lethal cancer types, particularly among children. Primary treatment includes neurosurgical resection of the tumour, in which a delicate balance must be struck between maximizing the extent of r...

Detecting changes in the performance of a clinical machine learning tool over time.

EBioMedicine
BACKGROUND: Excessive use of blood cultures (BCs) in Emergency Departments (EDs) results in low yields and high contamination rates, associated with increased antibiotic use and unnecessary diagnostics. Our team previously developed and validated a m...