Medical Education

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 increasing...

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 dangerou...

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, ...

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 fo...

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 tiss...

Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study.

Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...

Artificial intelligence in medical education and the meaning of interaction with natural intelligence - an interdisciplinary approach.

The practice of medicine is characterized by decision making in which digital techniques can provid...

Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents.

Artificial intelligence and machine learning (AI-ML) have taken center stage in medical imaging. To ...

Application of machine learning algorithms to identify cryptic reproductive habitats using diverse information sources.

Information on ecological systems often comes from diverse sources with varied levels of complexity,...

Sensor-based indicators of performance changes between sessions during robotic surgery training.

Training of surgeons is essential for safe and effective use of robotic surgery, yet current assessm...

Neurodynamic modeling of the fruit fly Drosophila melanogaster.

This manuscript describes neuromechanical modeling of the fruit fly Drosophila melanogaster in the f...

Preliminary exploration of robotic complete mesocolic excision for colon cancer with the domestically produced Chinese minimally invasive Micro Hand S surgical robot system.

OBJECTIVE: To summarize our initial experience with robot-assisted complete mesocolic excision (R-CM...

Development of a High-Fidelity Robot-Assisted Kidney Transplant Simulation Platform Using Three-Dimensional Printing and Hydrogel Casting Technologies.

Despite the adoption of robotic donor nephrectomy, the steep learning curve of robotic recipient tr...

The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology.

Training the modern ophthalmic surgeon is a challenging process. Microsurgical education can benefit...

Machine Learning in a Molecular Modeling Course for Chemistry, Biochemistry, and Biophysics Students.

Recent advances in computer hardware and software, particularly the availability of machine learning...

Can One Hear the Shape of a Molecule (from its Coulomb Matrix Eigenvalues)?

Coulomb matrix eigenvalues (CMEs) are global 3D representations of molecular structure, which have b...

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...

Anatomical pathology (human structural biopathology) in the era of "Big Data", digitalization, 5G and artificial intelligence: Evolution or Revolution?

A proposal of an updated system of the Organization of Scientific Biomedical Kowledge is presented, ...

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...