Medical Education

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 of medicine. Detection of cancer might be AI's most altruistic and convoluted challenge to date in the field of medicine. Embedding AI into various aspects of cancer diagnostics would be of immense use in dealing with the tedious, repetitive, time-consuming job of lesion detection, remove opportuniti...

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 (AI) in medical schools' curricula among physicians whose everyday job is significantly impacted by AI.

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 increase access to different blood products and reduce...

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 segmentation. However, the prediction of drug effec...

[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 collaborative innovation system of "industry, educ...

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

OBJECTIVE: Electronic medical records (EMRs) can support medical research and discovery, but privacy risks limit the sharing of such data on a wide sc...

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 combat health-related problems. The aim of current s...

Simulation-assisted machine learning.

MOTIVATION: In a predictive modeling setting, if sufficient details of the system behavior are known, one can build and use a simulation for making pr...

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

A Comparative Evaluation of SteamVR Tracking and the OptiTrack System for Medical Device Tracking.

Tracking of medical devices can be used in diverse situations, e.g., training as well as image guidance for surgery and surgery planning. Therefore, p...

[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 manipulation endoscopy. When the master of YunSRobot was in...

Simulation and Synthesis in Medical Imaging.

This editorial introduces the Special Issue on Simulation and Synthesis in Medical Imaging. In this editorial, we define so-far ambiguous terms of sim...

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac electrical activity from the body surface. ECG analysi...

Training in urological robotic surgery. Future perspectives.

As robotics are becoming more integrated into the medical field, robotic training is becoming more crucial in order to overcome the lack of experience...

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 the attitudes and beliefs of instructors with regard...

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 such as ADP and thromboxane, while tissue factor (T...

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 boilers to produce bioenergy (thermal and electrical),...

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. Environmental models comprise the deterministic mode...