AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Postoperative Period

Showing 51 to 60 of 118 articles

Clear Filters

Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up.

Frontiers in endocrinology 33042013
Some patients with acromegaly do not reach the remission standard in the short term after surgery but achieve remission without additional postoperative treatment during long-term follow-up; this phenomenon is defined as postoperative delayed remiss...
Acromegaly Adult Algorithms Decision Support Techniques Female Follow-Up Studies Humans Machine Learning Male Postoperative Period Retrospective Studies Sensitivity and Specificity
View on PubMed DOI

Acceptance and Commitment Therapy Delivered via a Mobile Phone Messaging Robot to Decrease Postoperative Opioid Use in Patients With Orthopedic Trauma: Randomized Controlled Trial.

Journal of medical Internet research 32723723
BACKGROUND: Acceptance and commitment therapy (ACT) is a pragmatic approach to help individuals decrease avoidable pain.
Acceptance and Commitment Therapy Adult Aged Analgesics, Opioid Cell Phone Female Humans Male Middle Aged Musculoskeletal Diseases Postoperative Period Robotics Text Messaging
View on PubMed DOI

Machine Learning for Predictive Modeling of 90-day Readmission, Major Medical Complication, and Discharge to a Facility in Patients Undergoing Long Segment Posterior Lumbar Spine Fusion.

Spine 32706568
STUDY DESIGN: Retrospective case control study.
Adult Aged Case-Control Studies Comorbidity Databases, Factual Female Humans Inpatients Lumbar Vertebrae Machine Learning Male Middle Aged Patient Discharge Patient Readmission Postoperative Complications Postoperative Period Retrospective Studies Risk Factors Spinal Fusion
View on PubMed DOI

Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approach.

Scientific reports 33033308
Prognostic models play an important role in the clinical management of cervical radiculopathy (CR). No study has compared the performance of modern machine learning techniques, against more traditional stepwise regression techniques, when developing ...
Adult Cervical Vertebrae Female Humans Machine Learning Male Middle Aged Models, Theoretical Neck Pain Orthopedic Procedures Postoperative Period Prognosis Prospective Studies Radiculopathy Recovery of Function
View on PubMed DOI

Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery.

Pituitary 32488759
PURPOSE: Hyponatremia after pituitary surgery is a frequent finding with potential severe complications and the most common cause for readmission. Several studies have found parameters associated with postoperative hyponatremia, but no reliable speci...
Adult Aged Feasibility Studies Female Humans Machine Learning Male Middle Aged Pituitary Diseases Pituitary Gland Postoperative Period Retrospective Studies
View on PubMed DOI

Structural Brain Network Abnormalities and the Probability of Seizure Recurrence After Epilepsy Surgery.

Neurology 33361262
OBJECTIVE: We assessed preoperative structural brain networks and clinical characteristics of patients with drug-resistant temporal lobe epilepsy (TLE) to identify correlates of postsurgical seizure recurrences.
Adult Anterior Temporal Lobectomy Brain Case-Control Studies Diffusion Magnetic Resonance Imaging Drug Resistant Epilepsy Epilepsy, Temporal Lobe Female Humans Machine Learning Magnetic Resonance Imaging Male Middle Aged Neural Pathways Postoperative Period Preoperative Period Recurrence Support Vector Machine Treatment Outcome
View on PubMed DOI

Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association 33359160
PURPOSE: To develop machine learning algorithms to predict failure to achieve clinically significant satisfaction after hip arthroscopy.
Adult Algorithms Arthroscopy Calibration Case-Control Studies Female Hip Humans Machine Learning Male Neural Networks, Computer Patient Satisfaction Postoperative Period Risk ROC Curve Treatment Outcome Young Adult
View on PubMed DOI

Machine Learning-Based Prediction of 6-Month Postoperative Karnofsky Performance Status in Patients with Glioblastoma: Capturing the Real-Life Interaction of Multiple Clinical and Oncologic Factors.

World neurosurgery 33516864
OBJECTIVE: Ability to thrive after invasive and intensive treatment is an important parameter to assess in patients with glioblastoma multiforme (GBM). Karnofsky Performance Status (KPS) is used to identify those patients suitable for postoperative r...
Aged Algorithms Brain Neoplasms Databases, Factual Glioblastoma Humans Machine Learning Male Middle Aged Postoperative Period Predictive Value of Tests
View on PubMed DOI

Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

The Journal of clinical endocrinology and metabolism 33000120
CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term fo...
ACTH-Secreting Pituitary Adenoma Adenoma Adult Algorithms China Computer Simulation Female Follow-Up Studies Humans Machine Learning Male Middle Aged Models, Statistical Neurosurgical Procedures Pituitary ACTH Hypersecretion Postoperative Period Prognosis Remission Induction Reproducibility of Results Retrospective Studies Time Factors Treatment Outcome Young Adult
View on PubMed DOI

Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.

The British journal of radiology 33571010
OBJECTIVES: To evaluate image quality and lesion detection capabilities of low-dose (LD) portal venous phase whole-body computed tomography (CT) using deep learning image reconstruction (DLIR).
Adult Aged Aged, 80 and over Algorithms Contrast Media Deep Learning Female Humans Male Middle Aged Neoplasms Postoperative Period Prospective Studies Quality Control Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Tomography, X-Ray Computed Whole Body Imaging
View on PubMed DOI
Popular Topics
Recent Journals