Artificial intelligence in brain tumour surgery—an emerging paradigm

S Williams, H Layard Horsfall, JP Funnell… - Cancers, 2021 - mdpi.com
Simple Summary Artificial intelligence (AI) is the branch of computer science that enables
machines to learn, reason, and problem solve. In recent decades, AI has been developed …

Disparities in the surgical treatment of adult spine diseases: a systematic review

T Cardinal, PA Bonney, BA Strickland… - World Neurosurgery, 2022 - Elsevier
Background Our goal was to systematically review the literature on racial/ethnic, insurance,
and socioeconomic disparities in adult spine surgery in the United States and analyze …

Quality Outcomes Database Spine Care Project 2012–2020: milestones achieved in a collaborative North American outcomes registry to advance value-based spine …

AL Asher, J Knightly, PV Mummaneni, MA Alvi… - Neurosurgical …, 2020 - thejns.org
The Quality Outcomes Database (QOD), formerly known as the National Neurosurgery
Quality Outcomes Database (N 2 QOD), was established by the NeuroPoint Alliance (NPA) …

Research using the Quality Outcomes Database: accomplishments and future steps toward higher-quality real-world evidence

AL Asher, RW Haid, AR Stroink… - Journal of …, 2023 - thejns.org
OBJECTIVE The Quality Outcomes Database (QOD) was established in 2012 by the
NeuroPoint Alliance, a nonprofit organization supported by the American Association of …

Prediction of major complications and readmission after lumbar spinal fusion: a machine learning–driven approach

AA Shah, SK Devana, C Lee, A Bugarin, EL Lord… - World neurosurgery, 2021 - Elsevier
Background Given the significant cost and morbidity of patients undergoing lumbar fusion,
accurate preoperative risk-stratification would be of great utility. We aim to develop a …

Unplanned readmission is associated with decreased overall survival and performance after metastatic spine surgery

H Chanbour, JW Chen, LS Gangavarapu, GA Bendfeldt… - Spine, 2023 - journals.lww.com
Study Design. Retrospective case-control study. Objective. In a cohort of patients
undergoing metastatic spine surgery, we sought to:(1) identify risk factors associated with …

Predicting in-hospital complications after anterior cervical discectomy and fusion: a comparison of the Elixhauser and Charlson comorbidity indices

WA Ranson, SN Neifert, ZB Cheung, CM Mikhail… - World neurosurgery, 2020 - Elsevier
Objective The objective of this study was to determine the ability of the Elixhauser
Comorbidity Index (ECI) and Charlson Comorbidity Index (CCI) to predict postoperative …

Preoperative HbA1c> 8% is associated with poor outcomes in lumbar spine surgery: a Michigan spine surgery improvement collaborative study

S Lim, HH Yeh, M Macki, T Mansour, L Schultz… - …, 2021 - journals.lww.com
BACKGROUND Preoperative hemoglobin A1c (HbA1c) is a useful screening tool since a
significant portion of diabetic patients in the United States are undiagnosed and the …

Does body mass index influence long-term outcomes after anatomic total shoulder arthroplasty?

CA White, AV Patel, CM Cirino, KC Wang… - Journal of Shoulder and …, 2023 - Elsevier
Background As of 2018, upwards of 42% of the US adult population was considered obese
based on body mass index (BMI) scales. With the annual number of total joint replacements …

[HTML][HTML] Outcomes with a mobile digital health platform for patients undergoing spine surgery: retrospective analysis

V Venkatraman, EP Kirsch, E Luo, S Kunte… - JMIR Perioperative …, 2022 - periop.jmir.org
Background Digital health solutions have been shown to enhance outcomes for individuals
with chronic medical illnesses, but few have been validated for surgical patients. The digital …