AIMC Topic: Feasibility Studies

Clear Filters Showing 611 to 620 of 897 articles

Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar discectomy: feasibility of center-specific modeling.

The spine journal : official journal of the North American Spine Society Nov 16, 2018
BACKGROUND CONTEXT: There is considerable variability in patient-reported outcome measures following surgery for lumbar disc herniation. Individualized prediction tools that are derived from center- or even surgeon-specific data could provide valuabl...
Humans Female Adult Lumbar Vertebrae Feasibility Studies Patient Reported Outcome Measures Intervertebral Disc Degeneration Intervertebral Disc Displacement Male Middle Aged Postoperative Complications Deep Learning Diskectomy
View on PubMed DOI

Optimal intensive care outcome prediction over time using machine learning.

PloS one Nov 14, 2018
BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the intensive care unit (ICU). Research into prognostication in ICU has so far been limited to data from admission or the first 24 hours. Most ICU admissions ...
Patient Admission Intensive Care Units Male Feasibility Studies Clinical Decision-Making Middle Aged Humans Critical Care Female Hospital Mortality Risk Assessment Machine Learning Datasets as Topic Aged ROC Curve Prognosis Sepsis APACHE Decision Support Systems, Clinical Retrospective Studies Logistic Models
View on PubMed DOI

Learning Curve in Robot-Assisted Laparoscopic Liver Resection.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Nov 7, 2018
BACKGROUND: The objective of this study was to evaluate the learning curve effect on the safety and feasibility of robot-assisted liver resection (RALR).
Middle Aged Adolescent Child, Preschool Child Aged Young Adult Adult Male Laparoscopy Feasibility Studies Hepatectomy Postoperative Period Learning Curve Liver Neoplasms Humans Carcinoma, Hepatocellular Female Operative Time Robotics
View on PubMed DOI

Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims data.

Epilepsy & behavior : E&B Nov 7, 2018
Patients with drug-resistant epilepsy (DRE) are at high risk of morbidity and mortality, yet their referral to specialist care is frequently delayed. The ability to identify patients at high risk of DRE at the time of treatment initiation, and to sub...
ROC Curve Regression Analysis Anticonvulsants Feasibility Studies Drug Resistant Epilepsy Insurance Claim Reporting Female Adult Male Middle Aged Humans Machine Learning Algorithms
View on PubMed DOI

Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation.

Human brain mapping Oct 31, 2018
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has shown clinical potential for relieving the motor symptoms of advanced Parkinson's disease. While accurate localization of the STN is critical for consistent across-patients effective D...
Databases, Factual Female Aged Male Middle Aged Magnetic Resonance Imaging Parkinson Disease Feasibility Studies Humans Machine Learning Essential Tremor Deep Brain Stimulation Image Interpretation, Computer-Assisted Neuroimaging Subthalamic Nucleus
View on PubMed DOI

Feasibility and Acceptability of Mobile Phone-Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults.

Journal of medical Internet research Oct 26, 2018
BACKGROUND: Chronic pain is a globally prevalent condition. It is closely linked with psychological well-being, and it is often concomitant with anxiety, negative affect, and in some cases even depressive disorders. In the case of musculoskeletal chr...
Adult Male Humans Exercise Machine Learning Pilot Projects Female Cell Phone Feasibility Studies Chronic Pain
View on PubMed DOI

Feasibility of photon beam profile deconvolution using a neural network.

Medical physics Oct 25, 2018
PURPOSE: Ionization chambers are the detectors of choice for photon beam profile scanning. However, they introduce significant volume averaging effect (VAE) that can artificially broaden the penumbra width by 2-3 mm. The purpose of this study was to ...
Photons Neural Networks, Computer Feasibility Studies Radiometry
View on PubMed DOI

Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set.

Breast cancer research and treatment Oct 16, 2018
PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict pathologic complete response (pCR) to neoadjuvant ...
Mastectomy, Segmental Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Neoadjuvant Therapy Magnetic Resonance Imaging Neoplasm Staging Breast Feasibility Studies Receptor, ErbB-2 Middle Aged ROC Curve Image Processing, Computer-Assisted Triple Negative Breast Neoplasms Retrospective Studies Female Aged Adult Humans Machine Learning
View on PubMed DOI

Feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy.

Radiological physics and technology Sep 28, 2018
This study aimed to investigate the feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy. The relationships between the reference centroids of prosta...
Humans Machine Learning Male Tomography, X-Ray Computed Feasibility Studies Bayes Theorem Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms Prostate
View on PubMed DOI

Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study.

Journal of medical Internet research Sep 25, 2018
BACKGROUND: Artificial intelligence (AI) is developing quickly in the medical field and can benefit both medical staff and patients. The clinical decision support system Watson for Oncology (WFO) is an outstanding representative AI in the medical fie...
Feasibility Studies Medical Oncology Humans Female Artificial Intelligence Male Retrospective Studies China Lung Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals