AI Medical Compendium Topic

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

Computer Systems

Showing 11 to 20 of 176 articles

Clear Filters

Real-Time Vehicle Classification System Using a Single Magnetometer.

Sensors (Basel, Switzerland)
Vehicle count and classification data are very important inputs for intelligent transportation systems (ITS). Magnetic sensor-based technology provides a very promising solution for the measurement of different traffic parameters. In this work, a nov...

Implementation of Kalman Filtering with Spiking Neural Networks.

Sensors (Basel, Switzerland)
A Kalman filter can be used to fill space-state reconstruction dynamics based on knowledge of a system and partial measurements. However, its performance relies on accurate modeling of the system dynamics and a proper characterization of the uncertai...

Optimizing Face Recognition Inference with a Collaborative Edge-Cloud Network.

Sensors (Basel, Switzerland)
The rapid development of deep-learning-based edge artificial intelligence applications and their data-driven nature has led to several research issues. One key issue is the collaboration of the edge and cloud to optimize such applications by increasi...

Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning.

Small (Weinheim an der Bergstrasse, Germany)
Organic chemistry has seen colossal progress due to machine learning (ML). However, the translation of artificial intelligence (AI) into materials science is challenging, where biological behavior prediction becomes even more complicated. Nanotoxicit...

Person-Specific Gaze Estimation from Low-Quality Webcam Images.

Sensors (Basel, Switzerland)
Gaze estimation is an established research problem in computer vision. It has various applications in real life, from human-computer interactions to health care and virtual reality, making it more viable for the research community. Due to the signifi...

An Artificial Intelligence-Based Diagnostic System for Acute Lymphoblastic Leukemia Detection.

Studies in health technology and informatics
This study suggests a novel Acute Lymphoblastic Leukemia (ALL) diagnostic model, built solely on complete blood count (CBC) records. Using a dataset comprised of CBC records of 86 ALL and 86 control patients respectively, we identified the most ALL-s...

Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer.

Sensors (Basel, Switzerland)
Speech emotion recognition (SER) is a challenging task in human-computer interaction (HCI) systems. One of the key challenges in speech emotion recognition is to extract the emotional features effectively from a speech utterance. Despite the promisin...

Informed consent for artificial intelligence in emergency medicine: A practical guide.

The American journal of emergency medicine
As artificial intelligence (AI) expands its presence in healthcare, particularly within emergency medicine (EM), there is growing urgency to explore the ethical and practical considerations surrounding its adoption. AI holds the potential to revoluti...

Real-time carotid plaque recognition from dynamic ultrasound videos based on artificial neural network.

Ultraschall in der Medizin (Stuttgart, Germany : 1980)
PURPOSE: Carotid ultrasound allows noninvasive assessment of vascular anatomy and function with real-time display. Based on the transfer learning method, a series of research results have been obtained on the optimal image recognition and analysis of...

Scalable Multi-Hierarchy Embedded Platform for Neural Population Simulations.

IEEE transactions on biomedical circuits and systems
Brain-inspired structured neural circuits are the cornerstones of both computational and perceived intelligence. Real-time simulations of large-scale high-dimensional neural populations with complex nonlinearities pose a significant challenge. Taking...