AIMC Topic: Predictive Value of Tests
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Multifactor Prediction of Embryo Transfer Outcomes Based on a Machine Learning Algorithm.
Frontiers in endocrinology
Nov 2, 2021
fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceive a baby successfully. Nevertheless, IVF-ET does not guarantee success. Frozen embryo transfer (FET) is an important supplement to IVF-ET. Many factor...
Predictive value of a novel Asian lung cancer screening nomogram based on artificial intelligence and epidemiological characteristics.
Thoracic cancer
Oct 28, 2021
BACKGROUND: To develop and validate a risk prediction nomogram based on a deep learning convolutional neural networks (CNN) model and epidemiological characteristics for lung cancer screening in patients with small pulmonary nodules (SPN).
Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer.
Radiology
Oct 26, 2021
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage I non-small cell lung cancer (NSCLC). Purpose To develop a deep learning signature for N2 metastasis prediction and prognosis stratification in clinic...
Deep Learning
Cohort Studies
Lung Neoplasms
Carcinoma, Non-Small-Cell Lung
Biomarkers, Tumor
Humans
Survival Analysis
Male
Prospective Studies
Neoplasms, Second Primary
Prognosis
Middle Aged
Predictive Value of Tests
Retrospective Studies
Risk Assessment
Neoplasm Staging
Female
Reproducibility of Results
Artificial Neural Network Algorithms to Predict Resting Energy Expenditure in Critically Ill Children.
Nutrients
Oct 26, 2021
INTRODUCTION: Accurate assessment of resting energy expenditure (REE) can guide optimal nutritional prescription in critically ill children. Indirect calorimetry (IC) is the gold standard for REE measurement, but its use is limited. Alternatively, RE...
Accurate prediction of protein torsion angles using evolutionary signatures and recurrent neural network.
Scientific reports
Oct 26, 2021
The amino acid sequence of a protein contains all the necessary information to specify its shape, which dictates its biological activities. However, it is challenging and expensive to experimentally determine the three-dimensional structure of protei...
Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?
NeuroImage
Oct 19, 2021
Cognitive performance can be predicted from an individual's functional brain connectivity with modest accuracy using machine learning approaches. As yet, however, predictive models have arguably yielded limited insight into the neurobiological proces...
Early prediction of severe acute pancreatitis using machine learning.
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Oct 16, 2021
BACKGROUND: Acute pancreatitis (AP) is one of the most common causes of gastrointestinal-related hospitalizations in the United States. Severe AP (SAP) is associated with a mortality rate of nearly 30% and is distinguished from milder forms of AP. Ri...
Prediction of all-cause mortality in coronary artery disease patients with atrial fibrillation based on machine learning models.
BMC cardiovascular disorders
Oct 16, 2021
BACKGROUND: Machine learning (ML) can include more diverse and more complex variables to construct models. This study aimed to develop models based on ML methods to predict the all-cause mortality in coronary artery disease (CAD) patients with atrial...
Development and evaluation of a double-check support system using artificial intelligence in endoscopic screening for gastric cancer.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Oct 15, 2021
BACKGROUND: This study aimed to prevent missing gastric cancer and point out low-quality images by developing a double-check support system (DCSS) for esophagogastroduodenoscopy (EGD) still images using artificial intelligence.
Artificial intelligence on COVID-19 pneumonia detection using chest xray images.
PloS one
Oct 14, 2021
Recent studies show the potential of artificial intelligence (AI) as a screening tool to detect COVID-19 pneumonia based on chest x-ray (CXR) images. However, issues on the datasets and study designs from medical and technical perspectives, as well a...
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