Medical Education

Continual lifelong learning with neural networks: A review.

Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and sk...

Artificial intelligence and the radiologist: the future in the Armed Forces Medical Services.

Artificial intelligence (AI) involves computational networks (neural networks) that simulate human i...

Super resolution reconstruction for medical image based on adaptive multi-dictionary learning and structural self-similarity.

To improve the quality of the super-resolution (SR) reconstructed medical images, an improved adapti...

A gentle introduction to deep learning in medical image processing.

This paper tries to give a gentle introduction to deep learning in medical image processing, proceed...

Expressway crash risk prediction using back propagation neural network: A brief investigation on safety resilience.

This study presents the work in predicting crash risk on expressways with consideration of both the ...

Simulation program of a cytotoxic compounding robot for monoclonal antibodies and anti-infectious sterile drug preparation.

The aim of this study was to develop a specific simulation program for the validation of a cytotoxic...

Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.

BACKGROUND: A direct blow to the knee is one way to injure the anterior cruciate ligament (ACL), e.g...

Co-digestion of Laminaria digitata with cattle manure: A unimodel simulation study of both batch and continuous experiments.

This work investigated the thermophilic (55 °C) co-digestion performance both in batch and continuou...

Broadening the Perspective of Cost-Effectiveness Modeling in Chronic Obstructive Pulmonary Disease: A New Patient-Level Simulation Model Suitable to Evaluate Stratified Medicine.

OBJECTIVES: To develop a health economic model that included a great diversity of patient characteri...

Swall-E: A robotic in-vitro simulation of human swallowing.

Swallowing is a complex physiological function that can be studied through medical imagery technique...

Predicting instructed simulation and dissimulation when screening for depressive symptoms.

The intentional distortion of test results presents a fundamental problem to self-report-based psych...

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.

The development of spiking neural network simulation software is a critical component enabling the m...

qTorch: The quantum tensor contraction handler.

Classical simulation of quantum computation is necessary for studying the numerical behavior of quan...

The Need for a Machine Learning Curriculum for Radiologists.

Social Conformity Effects on Trust in Simulation-Based Human-Robot Interaction.

OBJECTIVE: We investigated the co-acting influences of communication and social conformity on trust ...

Neural network modelling of soft tissue deformation for surgical simulation.

This paper presents a new neural network methodology for modelling of soft tissue deformation for su...

Master clinical medical knowledge at certificated-doctor-level with deep learning model.

Mastering of medical knowledge to human is a lengthy process that typically involves several years o...

Learning SPECT detector angular response function with neural network for accelerating Monte-Carlo simulations.

A method to speed up [Formula: see text] simulations of single photon emission computed tomography (...

Medical Image Quality Assessment Using CSO Based Deep Neural Network.

This manuscript proposed a hybrid method of Deep Neural Network (DNN) and Cuckoo Search Optimization...

Predicting Thermodynamic Properties of Alkanes by High-Throughput Force Field Simulation and Machine Learning.

Knowledge of the thermodynamic properties of molecules is essential for chemical process design and ...

ASO Author Reflections: Novel Robotic Training Curriculum Used in Complex Surgical Oncology.