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 …
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
Background Describe and evaluate the methodological conduct of prognostic prediction
models developed using machine learning methods in oncology. Methods We conducted a …
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 …
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 …
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
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 …
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
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 …
growing concern. To date, the presence of spin has not been evaluated in prognostic model …
Spinal epidural abscess: diagnosis, management, and outcomes
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 …
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 …
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
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 …
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 …
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 …
should be avoided in the final months of life. However, guideline compliance currently …