AIMC Topic: Postoperative Period

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Comparison of clinical outcomes and accuracy of electrode placement between robot-assisted and conventional deep brain stimulation of the subthalamic nucleus: a single-center study.

Acta neurochirurgica Mar 2, 2021
BACKGROUND: Several surgical methods are used for deep brain stimulation (DBS) of the subthalamic nucleus (STN) in Parkinson's disease (PD). This study aimed to compare clinical outcomes and electrode placement accuracy after robot-assisted (RAS) ver...
Female Male Middle Aged Quality of Life Humans Electrodes Deep Brain Stimulation Postoperative Period Motor Activity Subthalamic Nucleus Treatment Outcome Magnetic Resonance Imaging Parkinson Disease Robotics
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Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.

The British journal of radiology Feb 22, 2021
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).
Signal-To-Noise Ratio Humans Female Male Postoperative Period Algorithms Contrast Media Aged Middle Aged Whole Body Imaging Prospective Studies Radiographic Image Interpretation, Computer-Assisted Neoplasms Aged, 80 and over Tomography, X-Ray Computed Quality Control Deep Learning Adult Radiation Dosage
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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 Jan 28, 2021
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...
Humans Machine Learning Male Middle Aged Predictive Value of Tests Glioblastoma Postoperative Period Algorithms Databases, Factual Aged Brain Neoplasms
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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 Dec 24, 2020
PURPOSE: To develop machine learning algorithms to predict failure to achieve clinically significant satisfaction after hip arthroscopy.
Risk Hip Patient Satisfaction Calibration Arthroscopy Postoperative Period Algorithms Female Young Adult Adult Male Case-Control Studies ROC Curve Treatment Outcome Humans Neural Networks, Computer Machine Learning
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Structural Brain Network Abnormalities and the Probability of Seizure Recurrence After Epilepsy Surgery.

Neurology Dec 22, 2020
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.
Anterior Temporal Lobectomy Epilepsy, Temporal Lobe Male Recurrence Middle Aged Drug Resistant Epilepsy Case-Control Studies Machine Learning Diffusion Magnetic Resonance Imaging Treatment Outcome Brain Postoperative Period Female Support Vector Machine Preoperative Period Adult Humans Magnetic Resonance Imaging Neural Pathways
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Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approach.

Scientific reports Oct 8, 2020
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 ...
Female Adult Male Middle Aged Models, Theoretical Recovery of Function Cervical Vertebrae Radiculopathy Humans Machine Learning Prospective Studies Prognosis Postoperative Period Orthopedic Procedures Neck Pain
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Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up.

Frontiers in endocrinology Sep 16, 2020
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...
Male Humans Retrospective Studies Follow-Up Studies Machine Learning Acromegaly Algorithms Female Postoperative Period Decision Support Techniques Adult Sensitivity and Specificity
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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 Jul 29, 2020
BACKGROUND: Acceptance and commitment therapy (ACT) is a pragmatic approach to help individuals decrease avoidable pain.
Postoperative Period Text Messaging Cell Phone Acceptance and Commitment Therapy Humans Robotics Male Female Analgesics, Opioid Middle Aged Aged Musculoskeletal Diseases Adult
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Artificial Intelligence-Assisted System in Postoperative Follow-up of Orthopedic Patients: Exploratory Quantitative and Qualitative Study.

Journal of medical Internet research May 26, 2020
BACKGROUND: Patient follow-up is an essential part of hospital ward management. With the development of deep learning algorithms, individual follow-up assignments might be completed by artificial intelligence (AI). We developed an AI-assisted follow-...
Humans Evaluation Studies as Topic Artificial Intelligence Postoperative Period Qualitative Research Orthopedics Follow-Up Studies
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Update to 'Deep-learning model for predicting 30-day postoperative mortality' (Br J Anaesth 2019; 123: 688-95).

British journal of anaesthesia May 7, 2020
Forecasting Humans Deep Learning Postoperative Period Mortality
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