Devices and Vaccines

Clinical Investigation of a Rapid Non-invasive Multispectral Imaging Device Utilizing an Artificial Intelligence Algorithm for Improved Burn Assessment.

Currently, the incorrect judgment of burn depth remains common even among experienced surgeons. Cont...

A Completely Portable and Concealable, Lightweight Assistive Exosuit for Upper Limbs.

Exosuits are a relatively new trend in wearable robotics to answer the flaws of their exoskeleton co...

Deep learning networks in the segmentation of the left atrial appendage in 2D ultrasound: A comparative analysis.

Left atrial appendage (LAA) is the major source of thromboembolism in patients with non-valvular atr...

Real-Time Epileptic Seizure Detection Based on Deep Learning.

Epilepsy is one of the most common neurological diseases, and video EEG is the most commonly used ex...

A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation.

We propose a neural network-based framework to optimize the perceptions simulated by the in silico r...

A Multimodal Dataset for Automatic Edge-AI Cough Detection.

Counting the number of times a patient coughs per day is an essential biomarker in determining treat...

Robotics in Oral Surgery: My Foray Into the World of Dental Implant Robotics.

Machine learning classifiers for electrode selection in the design of closed-loop neuromodulation devices for episodic memory improvement.

Successful neuromodulation approaches to alter episodic memory require closed-loop stimulation predi...

[Research on multi-class orthodontic image recognition system based on deep learning network model].

To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep le...

Promises and challenges of machine learning for device therapy in heart failure.

Preliminary Experience of Partial Nephrectomy Through a New Single-Port Surgical Robot System.

To explore the preliminary safety and efficacy of the Shurui single-port (SP) surgical robot in par...

Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model.

MOTIVATION: Identifying the B-cell epitopes is an essential step for guiding rational vaccine develo...

A computer vision image differential approach for automatic detection of aggressive behavior in pigs using deep learning.

Pig aggression is a major problem facing the industry as it negatively affects both the welfare and ...

Current Status of Robotic Gastrointestinal Surgery.

Development of surgical support robots began in the 1980s as a navigation and auxiliary device for e...

Vaxi-DL: An Artificial Intelligence-Enabled Platform for Vaccine Development.

Vaccine development is a complex and long process. It involves several steps, including computationa...

Prediction of Bacterial Immunogenicity by Machine Learning Methods.

Prediction of bacterial immunogens is a prerequisite for the process of vaccine development through ...

[Literacy for Appropriate Use of Medical Big Data and Artificial Intelligence].

Recent developments have enabled daily accumulated medical information to be converted into medical ...

Identification of 130 Dental Implant Types Using Ensemble Deep Learning.

To evaluate the accuracy and clinical usability of an identification model using ensemble deep lear...

A novel method for conformity assessment testing of infant incubators for post-market surveillance purposes.

BACKGROUND: Premature born infants or infants born sick require immediate medical attention and decr...

A novel method for conformity assessment testing of anaesthesia machines for post-market surveillance purposes.

BACKGROUND: Anaesthesia machines, as moderate to high-risk medical devices intended for use on patie...

A novel method for conformity assessment testing of mechanical ventilators for post-market surveillance purposes.

BACKGROUND: Mechanical ventilators are medical devices used in intensive care units when patients ar...