Assistive applications of artificial intelligence in ophthalmology.

Purpose Of Review: Assistive (nonautonomous) artificial intelligence (AI) models designed to support (rather than function independently of) clinicians have received increasing attention in medicine. This review aims to highlight several recent developments in these models over the past year and their ophthalmic implications.

Recent Findings: Artificial intelligence models with a diverse range of applications in ophthalmology have been reported in the literature over the past year.

Using Frailty Measures to Predict Functional Outcomes and Mortality After Type II Odontoid Fracture in Elderly Patients: A Retrospective Cohort Study.

Study Design: Single-center retrospective cohort study.

Objectives: Type II odontoid fractures occur disproportionately among elderly populations and cause significant morbidity and mortality. It is a matter of debate whether these injuries are best managed surgically or conservatively.

Pediatric Traumatic Brain Injury in a Geographically Dispersed Population: A Relationship Between Distance to Definitive Neurosurgical Treatment and Outcome.

Background: There are limited data on the association between transport distance and outcomes in pediatric patients with severe traumatic brain injuries (sTBIs), despite children having to travel further to pediatric trauma centers (PTCs).

Objective: To assess whether distance from a PTC is associated with outcomes in children who undergo cranial surgery after sTBI.

Methods: Children with sTBI who underwent craniectomy/craniotomy at our PTC between 2010 and 2019 were identified retrospectively.

Impact of modified Frailty Index-11 (mFI-11) on postoperative complications in patients undergoing transsphenoidal resection of pituitary tumors: Analysis of 2006-2014 ACS-NSQIP database.

Introduction: Frailty is a measure of physiologic reserve that is frequently cited as a predictor of postoperative complications. However, the effect of frailty on patients undergoing a relatively common procedure such as transsphenoidal resection of pituitary tumors (TSRPT) is unknown. Therefore, we sought to explore this relationship using a large, national database.

Evaluating the utility and quality of large administrative databases in pediatric spinal neurosurgery research.

Purpose: The purpose of this study was to assess the quality of articles utilizing large administrative databases to answer questions related to pediatric spinal neurosurgery by quantifying their adherence to standard reporting guidelines.

Methods: A systematic literature search was conducted with search terms including "pediatric" and "neurosurgery," associated neurosurgical diagnoses, and the names of known databases. Study abstracts were reviewed to identify clinical studies involving pediatric populations, spine-related pathology or procedures, and large administrative databases.