Medical Education

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education.

OBJECTIVES: Currently, hurdles to implementation of artificial intelligence (AI) in radiology are a much-debated topic but have not been investigated in the community at large. Also, controversy exists if and to what extent AI should be incorporated into radiology residency programs.

Development of the Joint Commission of Taiwan's Smart Healthcare Standard.

It is well known that information technology (IT) can play a pivotal role in enhancing healthcare quality and patient safety. The use of computational science to enhance the capabilities of hospital information systems helps deliver enhanced healthcare quality. "Smart healthcare" has become a popular term, reflecting the level of IT involvement in healthcare services. However, each hospital has a ...

Robotic General Surgery Resident Training Curriculum: A Pilot Experience.

BACKGROUND: The purpose of this study was to report the impact of a pilot robotic general surgery resident training curriculum.

Emulation of wildland fire spread simulation using deep learning.

Numerical simulation of wildland fire spread is useful to predict the locations that are likely to burn and to support decision in an operational cont...

CBCR: A Curriculum Based Strategy For Chromosome Reconstruction.

In this paper, we introduce a novel algorithm that aims to estimate chromosomes' structure from their Hi-C contact data, called Curriculum Based Chrom...

Protocol Optimization Considerations for Implementing Deep Learning CT Reconstruction.

Previous advances over filtered back projection (FBP) have incorporated model-based iterative reconstruction. The purpose of this study was to charac...

Point/Counterpoint. Artificial intelligence should be part of medical physics graduate program curriculum.

Will It Play in Peoria? A Pilot Study of a Robotic Skills Curriculum for Surgical Oncology Fellows.

INTRODUCTION: To implement a mastery-based robotic surgery curriculum using virtual reality (VR) and inanimate reality (IR) drills at multiple Complex...

Expanding the medical physicist curricular and professional programme to include Artificial Intelligence.

PURPOSE: To provide a guideline curriculum related to Artificial Intelligence (AI), for the education and training of European Medical Physicists (MPs...

Pepsin-like aspartic proteases (PAPs) as model systems for combining biomolecular simulation with biophysical experiments.

Pepsin-like aspartic proteases (PAPs) are a class of aspartic proteases which shares tremendous structural similarity with human pepsin. One of the ke...

Towards real-time photorealistic 3D holography with deep neural networks.

The ability to present three-dimensional (3D) scenes with continuous depth sensation has a profound impact on virtual and augmented reality, human-com...

What Should Radiology Residency and Fellowship Training in Artificial Intelligence Include? A Trainee's Perspective- In Training.

Porcine Model for Robot-Assisted Partial Nephrectomy Simulation at a High-Volume Tertiary Center: Resident Perception and Validation Assessment Using the Global Evaluative Assessment of Robotic Skills Tool.

With increased demands on surgeon productivity and outcomes, residency robotics training increasingly relies on simulations. The objective of this st...

A Staging Auxiliary Diagnosis Model for Nonsmall Cell Lung Cancer Based on the Intelligent Medical System.

At present, human health is threatened by many diseases, and lung cancer is one of the most dangerous tumors that threaten human life. In most develop...

First robotic CME in Europe with augmented reality tools.

Human-scale Brain Simulation via Supercomputer: A Case Study on the Cerebellum.

Performance of supercomputers has been steadily and exponentially increasing for the past 20 years, and is expected to increase further. This unpreced...

PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks.

Task-trained artificial recurrent neural networks (RNNs) provide a computational modeling framework of increasing interest and application in computat...

Implementation and evaluation of a novel subspecialty society fellows robotic surgical course: the SGO minimally invasive academy surgical curriculum.

OBJECTIVE: To evaluate the utility of a society-based robotic surgery training program for fellows in gynecologic oncology.

Definition of a Structured Training Curriculum for Robot-assisted Radical Cystectomy with Intracorporeal Ileal Conduit in Male Patients: A Delphi Consensus Study Led by the ERUS Educational Board.

Robot-assisted radical cystectomy (RARC) continues to expand, and several surgeons start training for this complex procedure. This calls for the devel...

Exploring the potential of transfer learning for metamodels of heterogeneous material deformation.

From the nano-scale to the macro-scale, biological tissue is spatially heterogeneous. Even when tissue behavior is well understood, the exact subject ...