Medical Education

A Natural-Language-Processing-Based Procedure for Generating Distractors for Multiple-Choice Questions.

One of the most challenging aspects of writing multiple-choice test questions is identifying plausible incorrect response options-i.e., distractors. To help with this task, a procedure is introduced that can mine existing item banks for potential distractors by considering the similarities between a new item's stem and answer and the stems and response options for items in the bank. This approach ...

HoloMentor: A Novel Mixed Reality Surgical Anatomy Curriculum for Robot-Assisted Radical Prostatectomy.

OBJECTIVES: The disruption to surgical training and medical education caused by the global COVID-19 pandemic highlighted the need for realistic, reliable, and engaging educational opportunities available outside of the operating theatre and accessible for trainees of all levels. This article presents the design and development of a virtual reality curriculum which simulates the surgical mentorship...

End-to-end learning for compound activity prediction based on binding pocket information.

BACKGROUND: Recently, machine learning-based ligand activity prediction methods have been greatly improved. However, if known active compounds of a ta...

Identifying curriculum content for a cross-specialty robotic-assisted surgery training program: a Delphi study.

BACKGROUND: Robotic-assisted surgery is increasing and there is a need for a structured and evidence-based curriculum to learn basic robotic competenc...

Review and current update of robotic-assisted laparoscopic vascular surgery.

The field of vascular surgery is constantly evolving and is unsurpassed in its innovation and adoption of new technologies. Endovascular therapy has f...

Deep Learning for Ultrasound Beamforming in Flexible Array Transducer.

Ultrasound imaging has been developed for image-guided radiotherapy for tumor tracking, and the flexible array transducer is a promising tool for this...

Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures.

The utility of pathway signatures lies in their capability to determine whether a specific pathway or biological process is dysregulated in a given pa...

Multivariate Streamflow Simulation Using Hybrid Deep Learning Models.

Reliable and accurate streamflow simulation has a vital role in water resource development, mainly in agriculture, environment, domestic water supply,...

Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty.

An adequate classification of proximal femur fractures from X-ray images is crucial for the treatment choice and the patients' clinical outcome. We re...

Computational investigation of drug bank compounds against 3C-like protease (3CL) of SARS-CoV-2 using deep learning and molecular dynamics simulation.

Blocking the main replicating enzyme, 3 Chymotrypsin-like protease (3CL) is the most promising drug development strategy against the SARS-CoV-2 virus,...

Robotic Surgery: At the Crossroads of a Data Explosion.

BACKGROUND: For the last 20 years, controversies in robotic surgery focused on cost reduction, development of new platforms and technologies, creation...

Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach.

The COVID-19 pandemic broke the balance of oil supply and demand. Meeting these oil market challenges induced by the pandemic required a more accurate...

The simulation experiment description markup language (SED-ML): language specification for level 1 version 4.

Computational simulation experiments increasingly inform modern biological research, and bring with them the need to provide ways to annotate, archive...

Use of artificial intelligence for gender bias analysis in letters of recommendation for general surgery residency candidates.

BACKGROUND: Letters of recommendation (LoRs) play an important role in resident selection. Author language varies implicitly toward male and female ap...

Intelligent Simulation of Children's Psychological Path Selection Based on Chaotic Neural Network Algorithm.

In recent years, there are many problems in the study of intelligent simulation of children's psychological path selection, among which the main probl...

Using Appreciative Inquiry to explore the effect of COVID-19 on student trust: medical students' perspective.

This article was migrated. The article was marked as recommended. Background Students' anxiety due to the COVID-19 pandemic was expressed by some medi...

Impact of Early Exposure to Robotic Surgery Among Pre-clinical Medical Students on Career Choice and Simulation Skills.

We aimed to assess whether early exposure of medical students to robotic surgery training influences their interest in a surgical career and improves ...

Using Neural Network Force Fields to Ascertain the Quality of Simulations of Liquid Water.

Accurately simulating the properties of bulk water, despite the apparent simplicity of the molecule, is still a challenge. In order to fully understan...

Integration of Robotics in Urology Residency Programs: an Unchecked Technological Revolution.

PURPOSE OF REVIEW: To review the integration of robotics in urology residency programs and evaluate how it has impacted a graduates' level of surgical...

Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins.

Finding optimal parameters for force fields used in molecular simulation is a challenging and time-consuming task, partly due to the difficulty of tun...