Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
We are experiencing seminal times in computing that seem to define a fourth industrial revolution. T...
Gait enables individuals to move forward and is considered a natural skill. However, gait disturbanc...
The recent advances at hardware level and the increasing requirement of personalization of care asso...
Studies on improving the adaptability of upper limb rehabilitation training do not often consider th...
Pediatric acute onset neuropsychiatric syndrome (PANS) is a clinically heterogeneous disorder prese...
Accurate estimation of reference evapotranspiration (ET) is profoundly crucial in crop modeling, sus...
This pilot study investigated the efficacy of a four week robot-assisted gait training in twelve chi...
BACKGROUND AND OBJECTIVE: In lung cancer, the determination of mediastinal lymph node (MLN) status a...
PURPOSE: The manual generation of training data for the semantic segmentation of medical images usin...
Unidentified peaks remain a major problem in untargeted metabolomics by LC-MS/MS. Confidence in peak...
Artificial intelligence (AI) is developing rapidly in the medical technology field, particularly in ...
Multi-class classification for highly imbalanced data is a challenging task in which multiple issues...
Computational methods for predicting the macromolecular targets of drugs and drug-like compounds hav...
Spiking neural networks (SNN) are computational models inspired by the brain's ability to naturally ...
Scientific information extraction is a crucial step for understanding scientific publications. In th...
RPL is a very debated condition, in which many issues concerning definition, etiological factors to ...
AIM: The present study aimed to analyze the use of machine learning in ultrasound (US)-based fecal r...
Deep convolutional neural network (DCNN), now popularly called artificial intelligence (AI), has sho...
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CX...
Neural networks implemented with traditional hardware face inherent limitation of memory latency. Sp...
BACKGROUND AND AIMS: EUS is considered one of the most sensitive modalities for pancreatic cancer de...