Medical Education

Humans and machines: Moving towards a more symbiotic approach to learning clinical reasoning.

Artificial intelligence is a growing phenomenon that is driving major changes to how we deliver healthcare. One of its most significant and challenging contributions is likely to be in diagnosis. Artificial intelligence is challenging the physician's exclusive role in diagnosis and in some areas, its diagnostic accuracy exceeds that of humans. We argue that we urgently need to consider how we will...

An in vitro assay and artificial intelligence approach to determine rate constants of nanomaterial-cell interactions.

In vitro assays and simulation technologies are powerful methodologies that can inform scientists of nanomaterial (NM) distribution and fate in humans or pre-clinical species. For small molecules, less animal data is often needed because there are a multitude of in vitro screening tools and simulation-based approaches to quantify uptake and deliver data that makes extrapolation to in vivo studies ...

Artificial neural network metamodel for sensitivity analysis in a total hip replacement health economic model.

: Metamodels have been used to approximate complex simulations and have many applications with sensitivity analysis, optimization, etc. However, their...

NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation.

Complex computational models are often designed to simulate real-world physical phenomena in many scientific disciplines. However, these simulation mo...

Learning the implicit strain reconstruction in ultrasound elastography using privileged information.

Quasi-static ultrasound elastography is an importance imaging technology to assess the conditions of various diseases through reconstructing the tissu...

Analysis of crystallization phenomenon in Indian honey using molecular dynamics simulations and artificial neural network.

Molecular dynamics simulation was performed on sugar profile and moisture content-based mixture systems of six Indian honey samples. Comparative studi...

Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.

OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, generating enormous datasets which can be further analy...

Self-Paced Balance Learning for Clinical Skin Disease Recognition.

Class imbalance is a challenging problem in many classification tasks. It induces biased classification results for minority classes that contain less...

MCRDR Knowledge-Based 3D Dialogue Simulation in Clinical Training and Assessment.

Dialogue-based simulation is a real-world practice technique for medical and clinical education that provides students with an opportunity to train us...

Predicting Reaction Products and Automating Reactive Trajectory Characterization in Molecular Simulations with Support Vector Machines.

A machine learning-based methodology for the prediction of chemical reaction products, along with automated elucidation of mechanistic details via pha...

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Good quality of medical images is a prerequisite for the success of subsequent image analysis pipelines. Quality assessment of medical images is there...

Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space.

Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunother...

Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer's Disease.

It has demonstrated that glycogen synthase kinase 3β (GSK3β) is related to Alzheimer's disease (AD). On the basis of the world largest traditional Chi...

Telehealth in Mental Health Nursing Education: Health Care Simulation With Remote Presence Technology.

The feasibility of integrating remote presence technology within a simulation scenario for psychiatric-mental health nursing (PMHN) students to develo...

Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch.

Equipment parallel simulation is an emerging simulation technology in recent years, and equipment remaining useful life (RUL) prediction oriented para...

Continual lifelong learning with neural networks: A review.

Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, refe...

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

Artificial intelligence (AI) involves computational networks (neural networks) that simulate human intelligence. The incorporation of AI in radiology ...

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 adaptive multi-dictionary learning method is proposed, w...

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 impact of safety critical events and traffic condi...

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 compounding robot, KIRO® Oncology, for the prepar...