Work Force

A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed Tomography.

It is challenging to diagnose drowning in autopsy even with the help of post-mortem multi-slice comp...

Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation.

Auxiliary clinical diagnosis has been researched to solve unevenly and insufficiently distributed cl...

Robotics and cybersurgery in ophthalmology: a current perspective.

Ophthalmology is one of the most enriched fields, allowing the domain of artificial intelligence to ...

An Imbalance in the Force: The Need for Standardized Benchmarks for Molecular Simulation.

Force fields (FFs) for molecular simulation have been under development for more than half a century...

Transfer learning-based ensemble convolutional neural network for accelerated diagnosis of foot fractures.

The complex shape of the foot, consisting of 26 bones, variable ligaments, tendons, and muscles lead...

Optical force estimation for interactions between tool and soft tissues.

Robotic assistance in minimally invasive surgery offers numerous advantages for both patient and sur...

Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks.

To improve the accuracy of shallow neural networks in processing complex signals and cable fault dia...

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review.

The growing and aging of the world population have driven the shortage of medical resources in recen...

Effectiveness of Semi-Supervised Active Learning in Automated Wound Image Segmentation.

Appropriate wound management shortens the healing times and reduces the management costs, benefiting...

Multiple machine learning methods aided virtual screening of Na 1.5 inhibitors.

Na 1.5 sodium channels contribute to the generation of the rapid upstroke of the myocardial action p...

Symptoms are known by their companies: towards association guided disease diagnosis assistant.

Over the last few years, dozens of healthcare surveys have shown a shortage of doctors and an alarmi...

tension: A Python package for FORCE learning.

First-Order, Reduced and Controlled Error (FORCE) learning and its variants are widely used to train...

The effect of the 2-UPS/RR ankle rehabilitation robot with coupling biomechanical model on muscle behaviors.

With the popularization of biomechanical simulation technology, aiming at the rehabilitation of ankl...

Artificial intelligence techniques for neuropathological diagnostics and research.

Artificial intelligence (AI) research began in theoretical neurophysiology, and the resulting classi...

Automated Secchi disk depth measurement based on artificial intelligence object recognition.

Water transparency affects the degree of sunlight penetration in water, which is important to many w...

[Automation and the use of robots in the pathology laboratory : A journey through time and a consideration of efficiency].

In the past 20 years, numerous technical innovations were introduced to the histopathology laborator...

Smart Pneumatic Artificial Muscle Using a Bend Sensor like a Human Muscle with a Muscle Spindle.

Shortage of labor and increased work of young people are causing problems in terms of care and welfa...

MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis From CT Images.

Timely and accurate diagnosis of coronavirus disease 2019 (COVID-19) is crucial in curbing its sprea...

Addressing the Challenges and Barriers to the Integration of Machine Learning into Clinical Practice: An Innovative Method to Hybrid Human-Machine Intelligence.

Machine learning (ML) models have proven their potential in acquiring and analyzing large amounts of...

Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging.

Thus far, there have been no reported specific rules for systematically determining the appropriate ...

Integrating artificial intelligence and telehealth services in psychodermatology.