Medical Education

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...

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...

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, ...

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...

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...

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

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

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...

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...

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...

Augmented-reality integrated robotics in neurosurgery: are we there yet?

Surgical robots have captured the interest-if not the widespread acceptance-of spinal neurosurgeons....

Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

To develop predictive computational models forecasting the academic performance of students in the ...