Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
BACKGROUND: Ocular images play an essential role in ophthalmological diagnoses. Having an imbalanced...
Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential f...
Spiking Neural [Formula: see text] Systems are Neural System models characterized by the fact that e...
The growing number of older adults places insurmountable load on family members and professional car...
Mapping the complete functional layout of a cell and understanding the cross-talk between different ...
We consider an inhomogeneous small-world network (SWN) composed of inhibitory short-range (SR) and l...
In recent years, various studies have been conducted on the prediction of crime occurrences. This pr...
Tissue biomarker scoring by pathologists is central to defining the appropriate therapy for patients...
Weakly electric fishes (Gymnotid and Mormyrid) use an electric field to communicate efficiently (ter...
For children with autism spectrum disorders (ASDs), social robots are increasingly utilized as thera...
Tuberculosis (TB) affects people globally and is being reconsidered as a serious public health probl...
BACKGROUND: Influenza (flu) surveillance using Twitter data can potentially save lives and increase ...
The aim of this study was to evaluate the efficacy of two metaphylactic approaches (long acting anti...
The effectiveness of today's human-machine interaction is limited by a communication bottleneck as o...
OBJECTIVE: Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance...
The Hepatitis B vaccine is highly effective for the prevention of hepatitis B (HBV) infection. We re...
BACKGROUND: Disease and diagnosis have been the subject of much ontological inquiry. However, the in...
In this paper, a scheme for chaotic modulation secure communication is proposed based on chaotic syn...
Teleoperated medical robotic systems allow procedures such as surgeries, treatments, and diagnoses t...
This study aims to design a vertical handover prediction method to minimize unnecessary handovers fo...
This paper is concerned with H∞ filter design for a class of neural network systems with event-trigg...