Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models
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 …
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 …
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
Background. Lung metastasis greatly affects medical therapeutic strategies in
osteosarcoma. This study aimed to develop and validate a clinical prediction model to …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
have attracted considerable interest in investigating the responsible toxic ingredients …