Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Gesture recognition is critical in the field of Human-Computer Interaction, especially in healthcare, rehabilitation, sign language translation, etc. Conventionally, the gesture recognition data collected by the inertial measurement unit (IMU) sensors is relayed to the cloud or a remote device with higher computing power to train models. However, it is not convenient for remote follow-up treatment...
The growing demand for rapid, portable, and economical detection methods for environmental analysis has resulted in increasing demands on the portability and miniaturization of analytical instruments. The miniaturization of scientific instruments facilitates analysis in the field of medicine, food, and environment, especially for the under-resourced areas. The gel electrophoresis devices currently...
To evaluate the safety and outcomes of robot-assisted electrode insertion in cochlear implantation. We first reported the case of robot-assisted ele...
Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as, or even better than, those drawn by humans. AI i...
The optimal 3D positioning of the prosthesis components is of great importance for the stability and function of a total hip endoprosthesis. Pelvic ti...
To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on T...
Although artificial intelligence (AI) has been a focus of medical research for decades, in the last decade, the field of radiology has seen tremendous...
Metal artifacts are very common in CT scans since metal insertion or replacement is performed for enhancing certain functionality or mechanism of pati...
During common surgical tasks related to orthopedic applications, it is necessary to carefully manipulate a mobile C-arm device to achieve the desired ...
Convolutional neural networks (CNNs), a particular type of deep learning architecture, are positioned to become one of the most transformative technol...
This paper presents a convolutional neural network-based classification of the hand flexion and extension gestures used in wrist recovery after injury...
Consumer wearables can provide objective monitoring of movement disorders and may identify new phenotypical biomarkers. We present a novel smartwatch-...
AIMS: The aim of this study was to evaluate the ability of a machine-learning algorithm to diagnose prosthetic loosening from preoperative radiographs...
We report the use of a bone-anchored, self-contained robotic arm with both sensory and motor components over 3 to 7 years in four patients after trans...
Clinical event detection (CED) is a hot topic and essential task in medical artificial intelligence, which has attracted the attention from academia a...
The major intent of peptide vaccine designs, immunodiagnosis and antibody productions is to accurately identify linear B-cell epitopes. The determinat...
Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic pandemics due to rapid viral evolution. Vaccines a...
PURPOSE: The objective of this study was to develop a deep convolutional neural network (CNN) that would identify the brand and model of a dental impl...
Compounded medicinal products should be prepared using an appropriate quality-assurance system. Cleaning and disinfection, as part of this system, are...
The compounding of sterile medication admixtures is a labor-intensive process and subject to potential human error. The addition of robotic devices an...