Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …
using machine learning techniques across all medical specialties. Design Systematic …
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 …
Designing AI for trust and collaboration in time-constrained medical decisions: a sociotechnical lens
Major depressive disorder is a debilitating disease affecting 264 million people worldwide.
While many antidepressant medications are available, few clinical guidelines support …
While many antidepressant medications are available, few clinical guidelines support …
[HTML][HTML] Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges
XJ Cao, XQ Liu - World Journal of Psychiatry, 2022 - ncbi.nlm.nih.gov
Artificial intelligence-based technologies are gradually being applied to psych-iatric
research and practice. This paper reviews the primary literature concerning artificial …
research and practice. This paper reviews the primary literature concerning artificial …
Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making
A Brnabic, LM Hess - BMC medical informatics and decision making, 2021 - Springer
Background Machine learning is a broad term encompassing a number of methods that
allow the investigator to learn from the data. These methods may permit large real-world …
allow the investigator to learn from the data. These methods may permit large real-world …
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 …
Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients …
JHF Oosterhoff, ABMC Savelberg, AV Karhade… - European Journal of …, 2022 - Springer
Purpose Preoperative prediction of mortality in femoral neck fracture patients aged 65 years
or above may be valuable in the treatment decision-making. A preoperative clinical …
or above may be valuable in the treatment decision-making. A preoperative clinical …
Predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients
AV Karhade, TD Cha, HA Fogel, SH Hershman… - The Spine Journal, 2020 - Elsevier
IMPORTANCE Preoperative determination of the potential for postoperative opioid
dependence in previously naïve patients undergoing elective spine surgery may facilitate …
dependence in previously naïve patients undergoing elective spine surgery may facilitate …
Assessment of probable opioid use disorder using electronic health record documentation
SA Palumbo, KM Adamson, S Krishnamurthy… - JAMA network …, 2020 - jamanetwork.com
Importance Electronic health records are a potentially valuable source of information for
identifying patients with opioid use disorder (OUD). Objective To evaluate whether proxy …
identifying patients with opioid use disorder (OUD). Objective To evaluate whether proxy …
Machine learning for the orthopaedic surgeon: uses and limitations
Machine Learning for the Orthopaedic Surgeon: Uses and Limit... : JBJS Machine Learning for
the Orthopaedic Surgeon: Uses and Limitations : JBJS JBJS Journal Case Connector Reviews …
the Orthopaedic Surgeon: Uses and Limitations : JBJS JBJS Journal Case Connector Reviews …