BACKGROUND: Changes in health care across the globe have had a profound impact on
the number of hands-on surgical training opportunities that are available to residents. In the …

Although a number of surgical training institutions have started to adopt competency-based
education (CBE) frameworks for training, the debate about the value of this model continues. …

We show that the mismatch negativity (MMN) component of the event-related potential can
be used to measure auditory temporal resolution in human infants. Infrequent stimuli with …

BACKGROUND: We examined retention rates for basic surgical skills taught through a 1-month
intensive laboratory boot camp-style course at the onset of residency. METHODS: We …

As curricula move from a time-based system to a competency-based medical education system,
faculty development will be required. Faculty will be asked to engage in the observation, …

Background Recent reports from both accreditation bodies in North America highlight problems
with current assessment practices in postgraduate medical training. Previous work has …

Grading hydronephrosis severity relies on subjective interpretation of renal ultrasound images.
Deep learning is a data-driven algorithmic approach to classifying data, including images…

The ability to extract information about the spatial location of sounds plays an important role
in auditory scene analysis. The present study examined the effects of spatial separation and …

Big data refers to datasets that are too large or complex to analyse with traditional methods.
1 Instead we rely on machine learning—self updating algorithms that build predictive models …

Background Multidisciplinary Cancer Conferences (MCCs) are prospective meetings involving
cancer specialists to discuss treatment plans for patients with cancer. Despite reported …