Public Health & Policy

Medical Education

Latest AI and machine learning research in medical education for healthcare professionals.

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Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encoders.

Translational research of many disease areas requires a longitudinal understanding of disease develo...

PyDSLRep: A domain-specific language for robotic simulation in V-Rep.

Calculating forward and inverse kinematics for robotic agents is one of the most time-intensive task...

Improved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton.

Neurological disorders such as cerebral paralysis, spinal cord injuries, and strokes, result in the ...

Simulation of Disturbance Recovery Based on MPC and Whole-Body Dynamics Control of Biped Walking.

Biped robots are similar to human beings and have broad application prospects in the fields of famil...

Progressive learning: A deep learning framework for continual learning.

Continual learning is the ability of a learning system to solve new tasks by utilizing previously ac...

Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer.

This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adve...

Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data.

BACKGROUND: The Oncology Care Model (OCM) was developed as a payment model to encourage participatin...

Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling.

The development of machine learning solutions in medicine is often hindered by difficulties associat...

Leveraging vision and kinematics data to improve realism of biomechanic soft tissue simulation for robotic surgery.

PURPOSE: Surgical simulations play an increasingly important role in surgeon education and developin...

Natural Language Generation Model for Mammography Reports Simulation.

Extending the size of labeled corpora of medical reports is a major step towards a successful traini...

Robosample: A rigid-body molecular simulation program based on robot mechanics.

BACKGROUND: Compared with all-atom molecular dynamics (MD), constrained MD methods allow for larger ...

Roadmap for Developing Complex Virtual Reality Simulation Scenarios: Subpial Neurosurgical Tumor Resection Model.

BACKGROUND: Advancement and evolution of current virtual reality (VR) surgical simulation technologi...

Characteristic analysis and fuzzy simulation of falls-from-height mechanics, and case studies.

In this paper, methods for scientifically inferring the causes of the falls-from-height accidents, t...

Exploring Successful Parameter Region for Coarse-Grained Simulation of Biomolecules by Bayesian Optimization and Active Learning.

Accompanied with an increase of revealed biomolecular structures owing to advancements in structural...

Highly realistic simulation for robot-assisted hypothalamic hamartoma real-time MRI-guided laser interstitial thermal therapy (LITT).

PURPOSE: Real-time MRI-guided laser interstitial thermal therapy (LITT) is a challenging procedure d...

Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial.

Clinical trials often fail to recruit an adequate number of appropriate patients. Identifying eligib...

Robotic simulation experience in undergraduate medical education: a perspective.

Robotic surgery has been one of the most revolutionary advancements in surgery, and demand is antici...

The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement.

Artificial intelligence (AI) and machine learning (ML) approaches have caught the attention of many ...

The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine.

Simulation-based training is increasingly being used for assessment and training of psychomotor skil...

CFD based parameter tuning for motion control of robotic fish.

After millions of years of evolution, fishes have been endowed with agile swimming ability to accomp...

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