Medical Education

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, ...

Artificial intelligence in cancer diagnostics and therapy: current perspectives.

Artificial intelligence (AI) has found its way into every sphere of human life including the field o...

The importance of introducing artificial intelligence to the medical curriculum - assessing practitioners' perspectives.

AIM: To assess the attitude about the importance of introducing education on artificial intelligence...

Developing a curriculum in artificial intelligence for emergency radiology.

Designing an optimal inventory management model for the blood supply chain: Synthesis of reusable simulation and neural network.

Blood supply managers in the blood supply chain have always sought to create enough reserves to incr...

A Preliminary Study of Predicting Effectiveness of Anti-VEGF Injection Using OCT Images Based on Deep Learning.

Deep learning based radiomics have made great progress such as CNN based diagnosis and U-Net based s...

[Integration of production-university-research based on artificial intelligence for technological innovation and transformation in gastrointestinal surgery].

Medical artificial intelligence is a deeply integrated field of production-university-research. The ...

Ensuring electronic medical record simulation through better training, modeling, and evaluation.

OBJECTIVE: Electronic medical records (EMRs) can support medical research and discovery, but privacy...

AI added to the curriculum for doctors-to-be.

In vitro cytotoxic, antioxidant, antibacterial and antifungal activity of Saussurea heteromalla indigenous to Pakistan.

Medicinal plants are proven to reveal vast promising potential providing novel drug candidates to co...

Simulation-assisted machine learning.

MOTIVATION: In a predictive modeling setting, if sufficient details of the system behavior are known...

Algorithmic Bias and Computer-Assisted Scoring of Patient Notes in the USMLE Step 2 Clinical Skills Exam.

[The robot-assisted system YunSRobot for soft endoscopy: a trial of remote manipulation on simulation models].

To evaluate the feasibility and safety of the robot-assisted system YunSRobot for remote manipulati...

Simulation and Synthesis in Medical Imaging.

This editorial introduces the Special Issue on Simulation and Synthesis in Medical Imaging. In this ...

Training in urological robotic surgery. Future perspectives.

As robotics are becoming more integrated into the medical field, robotic training is becoming more c...

Lessons about Motor Learning: How Is Motor Learning Taught in Physical Therapy Programmes Across Canada?

This article describes the content of and delivery methods for motor learning (ML) education and th...

Multiscale simulation of thrombus growth and vessel occlusion triggered by collagen/tissue factor using a data-driven model of combinatorial platelet signalling.

During clotting under flow, platelets bind and activate on collagen and release autocrinic factors s...

Moisture content prediction in poultry litter using artificial intelligence techniques and Monte Carlo simulation to determine the economic yield from energy use.

The objective of this study is to determine the economic return of poultry litter combustion in boil...

Predictions of Diffuse Pollution by the HSPF Model and the Back-Propagation Neural Network Model.

  Watershed models are important tools for predicting the possible change of watershed responses. En...

ChainMail based neural dynamics modeling of soft tissue deformation for surgical simulation.

BACKGROUND: Realistic and real-time modeling and simulation of soft tissue deformation is a fundamen...