Devices and Vaccines

s-CAM: An Untethered Insertable Laparoscopic Surgical Camera Robot with Non-Contact Actuation.

Fully insertable robotic imaging devices represent a promising future of minimally invasive laparosc...

Toward a Multifunctional Light-Driven Biomimetic Mudskipper-Like Robot for Various Application Scenarios.

The systematicness, flexibility, and complexity of natural biological organisms are a constant strea...

Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction.

Disease risk prediction is a rising challenge in the medical domain. Researchers have widely used ma...

Evaluation of the humoral response induced by BBIBP-CorV vaccine by determining neutralizing antibodies in peruvian healthcare personnel.

OBJECTIVE.: To determine the titer of antibodies against the receptor binding domain (RBD) of the sp...

Robot-assisted cochlear implant surgery in a patient with partial ossification of the basal cochlear turn: A technical note.

The current status of breakthrough devices designation in the United States and innovative medical devices designation in Korea for digital health software.

INTRODUCTION: Artificial Intelligence (AI) is becoming increasingly utilized in the medical device i...

Vaxi-DL: A web-based deep learning server to identify potential vaccine candidates.

The development of a new vaccine is a challenging exercise involving several steps including computa...

Predicting residues involved in anti-DNA autoantibodies with limited neural networks.

Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing field...

Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.

BACKGROUND: Immediate implant placement in the esthetic area requires comprehensive assessments with...

Overground robotic training effects on walking and secondary health conditions in individuals with spinal cord injury: systematic review.

Overground powered lower limb exoskeletons (EXOs) have proven to be valid devices in gait rehabilita...

A deep learning-driven low-power, accurate, and portable platform for rapid detection of COVID-19 using reverse-transcription loop-mediated isothermal amplification.

This paper presents a deep learning-driven portable, accurate, low-cost, and easy-to-use device to p...

Artificial Intelligence for Automated Implant Identification in Total Hip Arthroplasty: A Multicenter External Validation Study Exceeding Two Million Plain Radiographs.

BACKGROUND: The surgical management of complications after total hip arthroplasty (THA) necessitates...

Testing a global null hypothesis using ensemble machine learning methods.

Testing a global null hypothesis that there are no significant predictors for a binary outcome of in...

Improving Haptic Response for Contextual Human Robot Interaction.

For haptic interaction, a user in a virtual environment needs to interact with proxies attached to a...

Human-robot-robot cooperative control using positioning robot and 1-DOF traction device for robot-assisted fracture reduction system.

While performing musculoskeletal long bone fracture reduction surgery, assistant surgeons can often ...

Reliable stability prediction to manage research or marketed vaccines and pharmaceutical products. "Avoid any doubt for the end-user of vaccine compliance at time of administration".

A major challenge for the pharmaceutical/vaccine industry is to anticipate and test/control product ...

Compressed Deep Learning to Classify Arrhythmia in an Embedded Wearable Device.

The importance of an embedded wearable device with automatic detection and alarming cannot be overst...

Progress and Challenges for Memtransistors in Neuromorphic Circuits and Systems.

Due to the increasing importance of artificial intelligence (AI), significant recent effort has been...

Three-dimensional deep learning to automatically generate cranial implant geometry.

We present a 3D deep learning framework that can generate a complete cranial model using a defective...

Development of a code-free machine learning model for the classification of cataract surgery phases.

This study assessed the performance of automated machine learning (AutoML) in classifying cataract s...

Is Artificial Intelligence (AI) a Pipe Dream? Why Legal Issues Present Significant Hurdles to AI Autonomy.

Proponents of artificial intelligence (AI) technology have suggested that in the near future, AI sof...