AIMC Topic: Follow-Up Studies
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Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis.
PloS one
Dec 20, 2021
OBJECTIVES: To evaluate CT-derived radiomics for machine learning-based classification of thymic epithelial tumor (TET) stage (TNM classification), histology (WHO classification) and the presence of myasthenia gravis (MG).
Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer.
Future oncology (London, England)
Dec 2, 2021
This study presents a survival stratification model based on multi-omics integration using bidirectional deep neural networks (BiDNNs) in gastric cancer. Based on the survival-related representation features yielded by BiDNNs through integrating tr...
Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization.
Scientific reports
Nov 23, 2021
Atrial fibrillation (AF) is an abnormal heart rhythm, asymptomatic in many cases, that causes several health problems and mortality in population. This retrospective study evaluates the ability of different AI-based models to predict future episodes ...
Re: Anna Lantz, David Bock, Olof Akre, et al. Functional and Oncological Outcomes After Open Versus Robot-assisted Laparoscopic Radical Prostatectomy for Localised Prostate Cancer: 8-Year Follow-up. Eur Urol 2021;80:650-60.
European urology
Nov 22, 2021
Single Port vs Multiport Robotic Pyeloplasty: Propensity-Score Matched Analysis of Perioperative and Follow-Up Outcomes.
Urology
Nov 21, 2021
OBJECTIVES: To compare the perioperative and postoperative outcomes of single port (SP) robotic pyeloplasty and multiport (MP) robotic pyeloplasty using a propensity-score matched analysis.
Machine Learning Classification of Mild Traumatic Brain Injury Using Whole-Brain Functional Activity: A Radiomics Analysis.
Disease markers
Nov 18, 2021
OBJECTIVES: To investigate the classification performance of support vector machine in mild traumatic brain injury (mTBI) from normal controls.
A priori prediction of local failure in brain metastasis after hypo-fractionated stereotactic radiotherapy using quantitative MRI and machine learning.
Scientific reports
Nov 3, 2021
This study investigated the effectiveness of pre-treatment quantitative MRI and clinical features along with machine learning techniques to predict local failure in patients with brain metastasis treated with hypo-fractionated stereotactic radiation ...
Diagnosis of Pituitary Adenoma Biopsies by Ultrahigh Resolution Optical Coherence Tomography Using Neuronal Networks.
Frontiers in endocrinology
Oct 18, 2021
OBJECTIVE: Despite advancements of intraoperative visualization, the difficulty to visually distinguish adenoma from adjacent pituitary gland due to textural similarities may lead to incomplete adenoma resection or impairment of pituitary function. T...
A new prognostic score for predicting survival in patients treated with robotic stereotactic radiotherapy for brain metastases.
Scientific reports
Oct 13, 2021
The study aimed to analyze potential prognostic factors in patients treated with robotic radiosurgery for brain metastases irrespective of primary tumor location and create a simple prognostic score that can be used without a full diagnostic workup. ...
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