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 …

Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review

P Dhiman, J Ma, CL Andaur Navarro, B Speich… - BMC medical research …, 2022 - Springer
Background Describe and evaluate the methodological conduct of prognostic prediction
models developed using machine learning methods in oncology. Methods We conducted a …

Current overview of treatment for metastatic bone disease

S Tsukamoto, A Kido, Y Tanaka, G Facchini, G Peta… - Current …, 2021 - mdpi.com
The number of patients with bone metastasis increases as medical management and
surgery improve the overall survival of patients with cancer. Bone metastasis can cause …

What are the applications and limitations of artificial intelligence for fracture detection and classification in orthopaedic trauma imaging? A systematic review

DWG Langerhuizen, SJ Janssen… - Clinical Orthopaedics …, 2019 - journals.lww.com
Background Artificial-intelligence algorithms derive rules and patterns from large amounts of
data to calculate the probabilities of various outcomes using new sets of similar data. In …

The role of machine learning in spine surgery: the future is now

M Chang, JA Canseco, KJ Nicholson, N Patel… - Frontiers in …, 2020 - frontiersin.org
The recent influx of machine learning centered investigations in the spine surgery literature
has led to increased enthusiasm as to the prospect of using artificial intelligence to create …

[HTML][HTML] Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review

P Dhiman, J Ma, CLA Navarro, B Speich… - Journal of Clinical …, 2023 - Elsevier
Objectives In biomedical research, spin is the overinterpretation of findings, and it is a
growing concern. To date, the presence of spin has not been evaluated in prognostic model …

Spinal epidural abscess: diagnosis, management, and outcomes

JH Schwab, AA Shah - JAAOS-Journal of the American Academy …, 2020 - journals.lww.com
An infection of the spinal epidural space, spinal epidural abscess (SEA) is a potentially
devastating entity that is rising in incidence. Its insidious presentation, variable progression …

Artificial intelligence in orthopaedics: false hope or not? A narrative review along the line of Gartner's hype cycle

JHF Oosterhoff, JN Doornberg - EFORT open reviews, 2020 - eor.bioscientifica.com
Artificial Intelligence (AI) in general, and Machine Learning (ML)-based applications in
particular, have the potential to change the scope of healthcare, including orthopaedic …

Artificial intelligence in neurosurgery: A state-of-the-art review from past to future

JA Tangsrivimol, E Schonfeld, M Zhang, A Veeravagu… - Diagnostics, 2023 - mdpi.com
In recent years, there has been a significant surge in discussions surrounding artificial
intelligence (AI), along with a corresponding increase in its practical applications in various …

[HTML][HTML] Machine learning–based short-term mortality prediction models for patients with cancer using electronic health record data: systematic review and critical …

SC Lu, C Xu, CH Nguyen, Y Geng, A Pfob… - JMIR medical …, 2022 - medinform.jmir.org
Background In the United States, national guidelines suggest that aggressive cancer care
should be avoided in the final months of life. However, guideline compliance currently …