High-fidelity surgical simulator for the performance of craniofacial osteotomies.

Purpose: The oral and maxillofacial (OMF) surgical community is making an active effort to develop new approaches for surgical training in order to compensate for work-hour restrictions, mitigate differences between training standards, and improve the efficiency of learning while minimizing the risks for the patients. Simulation-based learning, a technology adopted in other training paradigms, has the potential to enhance surgeons' knowledge and psychomotor skills.

Methods: We developed a fully immersive, high-fidelity virtual simulation trainer system based on Kitware's open-source visualization and interactive simulation libraries: the Interactive Medical Simulation Toolkit (iMSTK) and the Visualization Toolkit (VTK).

Pregnancy Outcomes and All-Cause Mortality After Pregnancy Among US-Born Women With Perinatally Acquired HIV.

Background: Maternal and pregnancy outcomes among women with perinatally acquired HIV (PHIV) versus women with HIV acquired through other routes (NPHIV) are not fully understood.

Setting: US-born women during 2005-2015 in New York City.

Methods: We used data from the New York City HIV surveillance registry, Expanded Perinatal Surveillance database, and Vital Statistics, to compare pregnancy and all-cause mortality outcomes among women with PHIV versus NPHIV delivering infants during 2005-2015.

Ocular biometric responses to simulated polychromatic defocus.

Evidence from human studies of ocular accommodation and studies of animals reared in monochromatic conditions suggest that chromatic signals can guide ocular growth. We hypothesized that ocular biometric response in humans can be manipulated by simulating the chromatic contrast differences associated with imposition of optical defocus. The red, green, and blue (RGB) channels of an RGB movie of the natural world were individually incorporated with computational defocus to create two different movie stimuli.

Automated deep learning segmentation of high-resolution 7 Tesla postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.

MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements. However, automated segmentation methods for brain mapping in postmortem MRI are not well developed, primarily due to limited availability of labeled datasets, and heterogeneity in scanner hardware and acquisition protocols. In this work, we present a high-resolution dataset of 135 postmortem human brain tissue specimens imaged at 0.