In 2009, researchers compared maternal complications of delivery and stratified the complication rates into quintiles of residency programs based on where the delivering obstetrician completed their ...

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...

On April 29, 2024, a unique educational event took place at the Bevill Biomedical Sciences Building, drawing over fifty clinical research professionals. Presented by the Center for Clinical and ...

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...

Have you ever given a lecture to a group of adult learners? If so, you may have noticed their eyes losing focus and phones appearing as you moved through your session. This is because the traditional ...

Experience in addition to your academic work and record are especially important in preparing for a healthcare career. This experiential learning helps you develop the core competencies that health ...

The inherent variability and potential inaccuracies of AI-generated output can leave even experienced clinicians uncertain about AI recommendations. This dilemma is not novel; it mirrors the broader ...

The practice of oncology continues to evolve over time. Educators find themselves in a position where they are no longer able to teach a topic in its entirety. Moreover, the rapid expansion of ...

Uncertainty is ubiquitous in medical practice yet is often viewed as a regrettable phenomenon to be tolerated or eradicated. 1 To prepare trainees for practice, teachers need to reframe uncertainty as ...

The clinical curriculum begins in January of your second year. This phase of your training uses patient-centered learning techniques, which include taking histories, performing physical examinations, ...