The scope, trends, and challenges of neurosurgical research in Nigeria: A bibliometric review
AEK Ukachukwu, OD Ogundeji, N Abu-Bonsrah… - World Neurosurgery, 2024 - Elsevier
Objective This study investigates the scope, trends, and challenges of neurosurgical
research in Nigeria since inception of the specialty in 1962. Methods A bibliometric review of …
research in Nigeria since inception of the specialty in 1962. Methods A bibliometric review of …
Deep learning for outcome prediction in neurosurgery: a systematic review of design, reporting, and reproducibility
Deep learning (DL) is a powerful machine learning technique that has increasingly been
used to predict surgical outcomes. However, the large quantity of data required and lack of …
used to predict surgical outcomes. However, the large quantity of data required and lack of …
Development of machine learning algorithms for prediction of 30-day mortality after surgery for spinal metastasis
BACKGROUND Preoperative prognostication of short-term postoperative mortality in
patients with spinal metastatic disease can improve shared decision making around end-of …
patients with spinal metastatic disease can improve shared decision making around end-of …
Trends in healthcare utilization and costs associated with acute otitis media in the United States during 2008–2014
S Tong, C Amand, A Kieffer, MH Kyaw - BMC health services research, 2018 - Springer
Background Acute otitis media (AOM) is the most common cause of pediatric medical visits
and antibiotic prescriptions worldwide, but its current impact on the US healthcare system is …
and antibiotic prescriptions worldwide, but its current impact on the US healthcare system is …
Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders
OBJECTIVE If not anticipated and prearranged, hospital stay can be prolonged while the
patient awaits placement in a rehabilitation unit or skilled nursing facility following elective …
patient awaits placement in a rehabilitation unit or skilled nursing facility following elective …
Extent of resection and survival for oligodendroglioma: a US population-based study
Background National guidelines recommend maximal safe resection of low-grade and high-
grade oligodendrogliomas. However, there is no level 1 evidence to support these …
grade oligodendrogliomas. However, there is no level 1 evidence to support these …
Inpatient costs of treating patients with COVID-19
KA Kapinos, RM Peters, RE Murphy… - JAMA Network …, 2024 - jamanetwork.com
Importance With more than 6.2 million hospitalizations due to COVID-19 in the US,
recognition of the average hospital costs to provide inpatient care during the pandemic is …
recognition of the average hospital costs to provide inpatient care during the pandemic is …
Predicting nonroutine discharge after elective spine surgery: external validation of machine learning algorithms: presented at the 2019 AANS/CNS Joint Section on …
BM Stopa, FC Robertson, AV Karhade, M Chua… - … of Neurosurgery: Spine, 2019 - thejns.org
OBJECTIVE Nonroutine discharge after elective spine surgery increases healthcare costs,
negatively impacts patient satisfaction, and exposes patients to additional hospital-acquired …
negatively impacts patient satisfaction, and exposes patients to additional hospital-acquired …
Treatments, cost and healthcare utilization of patients with segmental bone defects
BL Norris, M Vanderkarr, C Sparks, AS Chitnis, B Ray… - Injury, 2021 - Elsevier
Background Treatment of large segmental defects in skeletal long bones is challenging.
Heterogeneity in patient presentation further increase the difficulty in designing and running …
Heterogeneity in patient presentation further increase the difficulty in designing and running …
Development of machine learning algorithms for prediction of 5-year spinal chordoma survival
AV Karhade, Q Thio, P Ogink, J Kim… - World neurosurgery, 2018 - Elsevier
Background Chordomas are locally invasive slow-growing tumors that are difficult to study
because of the rarity of the tumors and the lack of significant volumes of patients with …
because of the rarity of the tumors and the lack of significant volumes of patients with …