Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models

B Saravi, F Hassel, S Ülkümen, A Zink… - Journal of Personalized …, 2022 - mdpi.com
Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …

Defining postoperative C5 palsy and recovery: a systematic review

N Deshpande, AM Stino, BW Smith, AA Little… - … of Neurosurgery: Spine, 2022 - thejns.org
OBJECTIVE Postoperative C5 palsy (C5P) is a well-recognized and often-delayed
complication of cervical spine surgery. Most patients recover within 6 months of onset, but …

An external‐validated prediction model to predict lung metastasis among osteosarcoma: a multicenter analysis based on machine learning

W Li, W Liu, F Hussain Memon, B Wang… - Computational …, 2022 - Wiley Online Library
Background. Lung metastasis greatly affects medical therapeutic strategies in
osteosarcoma. This study aimed to develop and validate a clinical prediction model to …

Comparison of the effectiveness of different machine learning algorithms in predicting new fractures after PKP for osteoporotic vertebral compression fractures

Y Ma, Q Lu, F Yuan, H Chen - Journal of orthopaedic surgery and …, 2023 - Springer
Background The use of machine learning has the potential to estimate the probability of a
second classification event more accurately than traditional statistical methods, and few …

A degradome-based prognostic signature that correlates with immune infiltration and tumor mutation burden in breast cancer

Y Luo, Y Ye, Y Chen, C Zhang, Y Sun… - Frontiers in …, 2023 - frontiersin.org
Introduction Female breast cancer is the most common malignancy worldwide, with a high
disease burden. The degradome is the most abundant class of cellular enzymes that play an …

A tool for predicting overall survival in patients with Ewing sarcoma: a multicenter retrospective study

W Li, S Dong, Y Lin, H Wu, M Chen, C Qin, K Li… - BMC cancer, 2022 - Springer
Objective The aim of this study was to establish and validate a clinical prediction model for
assessing the risk of metastasis and patient survival in Ewing's sarcoma (ES). Methods …

Limitations in evaluating machine learning models for imbalanced binary outcome classification in spine surgery: a systematic review

M Ghanem, AK Ghaith, VG El-Hajj, A Bhandarkar… - Brain Sciences, 2023 - mdpi.com
Clinical prediction models for spine surgery applications are on the rise, with an increasing
reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes …

Comparison of surgical outcomes of anterior and posterior fusion surgeries for K-line (−) cervical ossification of the posterior longitudinal ligament: A prospective …

N Nagoshi, T Yoshii, S Egawa, K Sakai, K Kusano… - Spine, 2023 - journals.lww.com
Study Design. A prospective multicenter study. Objective. The objective of this study is to
compare the surgical outcomes of anterior and posterior fusion surgeries in patients with K …

An Evolution Gaining Momentum—The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases

A Wirries, F Geiger, L Oberkircher, S Jabari - Diagnostics, 2022 - mdpi.com
In recent years, applications using artificial intelligence have been gaining importance in the
diagnosis and treatment of spinal diseases. In our review, we describe the basic features of …

Development of drug-induced gastrointestinal injury models based on ANN and SVM algorithms and their applications in the field of natural products

W Zhang, M Zhou, X Yan, S Chen, W Qian… - New Journal of …, 2024 - pubs.rsc.org
The broad use of natural products and the accompanied incidences of gastrointestinal injury
have attracted considerable interest in investigating the responsible toxic ingredients …