Medical Education

Accurate flexible refinement for atomic-level protein structure using cryo-EM density maps and deep learning.

With the rapid progress of deep learning in cryo-electron microscopy and protein structure predictio...

An inductive transfer learning force field (ITLFF) protocol builds protein force fields in seconds.

Accurate simulation of protein folding is a unique challenge in understanding the physical process o...

CRISP: a deep learning architecture for GC × GC-TOFMS contour ROI identification, simulation and analysis in imaging metabolomics.

Two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOFMS) provides a large...

Artificial Intelligence for Education, Proctoring, and Credentialing in Cardiovascular Medicine.

Artificial intelligence and machine learning are rapidly gaining popularity in every aspect of cardi...

A clarion call to introduce artificial intelligence (AI) in postgraduate medical physics curriculum.

Color computational ghost imaging by deep learning based on simulation data training.

We present a new color computational ghost imaging strategy using a sole single-pixel detector and t...

Artificial intelligence in healthcare: Should it be included in the medical curriculum? A students' perspective.

The application of artificial intelligence (AI) in healthcare has increased due to rapid digitizatio...

[Improvement of Motion Artifacts in Brain MRI Using Deep Learning by Simulation Training Data].

PURPOSE: To test whether deep learning can be used to effectively reduce artifacts in MR images of t...

Trial Approach for Biomedical Products: A Regulatory Perspective.

The modern pharmaceutical industry is transitioning from traditional methods to advanced technologie...

Learning curves in robot-assisted spine surgery: a systematic review and proposal of application to residency curricula.

OBJECTIVE: Spine robots have seen increased utilization over the past half decade with the introduct...

Validation of a Simulation Model for Robotic Sacrocolpopexy.

OBJECTIVE: We sought to validate a simulation model for robotic sacrocolpopexy (RSCP) that includes ...

Past, present, and future of surgical simulation and perspective of a developing country: A narrative review.

Healthcare systems around the globe have been revolutionised in the last few decades, resulting in a...

Adaptive Cooperative Control for Hybrid FES-Robotic Upper Limb Devices: a Simulation Study.

Robotic systems and Functional Electrical Stimulation (FES) are common technologies exploited in mot...

Design and Simulation of a Soft Robotic Device for Muscle Rehabilitation and Blood Flow Stimulation Therapy.

Previous works have shown the efficacy of mechanical stimulation by applying pressure and vibration ...

Editor's Spotlight/Take 5: How Large a Study Is Needed to Detect TKA Revision Rate Reductions Attributable to Robotic or Navigated Technologies? A Simulation-based Power Analysis.

Development and Validation of a Machine Learning-Based Decision Support Tool for Residency Applicant Screening and Review.

PURPOSE: Residency programs face overwhelming numbers of residency applications, limiting holistic r...

[Research on Self-perception and Active Warning Model of Medical Equipment Operation and Maintenance Status Based on Machine Learning Algorithm].

The panoramic perception of medical equipment operation and maintenance status is the basic guarante...

Enhancing trust in AI through industry self-governance.

Artificial intelligence (AI) is critical to harnessing value from exponentially growing health and h...

Machine Scoring of Medical Students' Written Clinical Reasoning: Initial Validity Evidence.

PURPOSE: Developing medical students' clinical reasoning requires a structured longitudinal curricul...

Modeling multi-species RNA modification through multi-task curriculum learning.

N6-methyladenosine (m6A) is the most pervasive modification in eukaryotic mRNAs. Numerous biological...

Trust and medical AI: the challenges we face and the expertise needed to overcome them.

Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. How-ever, ...