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Machine Learning-Based Prediction of Myocardial Recovery in Patients With Left Ventricular Assist Device Support.

Circulation. Heart failure Dec 24, 2021
BACKGROUND: Prospective studies demonstrate that aggressive pharmacological therapy combined with pump speed optimization may result in myocardial recovery in larger numbers of patients supported with left ventricular assist device (LVAD). This study...
Machine Learning Prospective Studies Young Adult Adult Middle Aged Myocardium Registries Heart Ventricles Adolescent Incidence Cohort Studies Heart Failure Heart-Assist Devices Humans
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Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey.

Clinical and experimental dermatology Dec 23, 2021
BACKGROUND: Convolutional neural networks (artificial intelligence, AI) are rapidly appearing within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As technologies become available for use by both the health profe...
Artificial Intelligence Female Skin Neoplasms Aged Aged, 80 and over Humans Diagnosis, Computer-Assisted Adolescent Health Surveys Age Factors Patient Acceptance of Health Care Young Adult Attitude to Health Adult Cross-Sectional Studies Male Middle Aged
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Alteration of the corpus callosum in patients with Alzheimer's disease: Deep learning-based assessment.

PloS one Dec 23, 2021
BACKGROUND: Several studies have reported changes in the corpus callosum (CC) in Alzheimer's disease. However, the involved region differed according to the study population and study group. Using deep learning technology, we ensured accurate analysi...
Cross-Sectional Studies Case-Control Studies Humans Magnetic Resonance Imaging Deep Learning Female Male Adolescent Alzheimer Disease Aged Middle Aged Atrophy Cognitive Dysfunction Young Adult Risk Assessment Corpus Callosum Adult Child Disease Progression
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Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.

Scientific reports Dec 21, 2021
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without...
Breast Image Interpretation, Computer-Assisted Young Adult Adult Breast Neoplasms Middle Aged Case-Control Studies Prognosis Follow-Up Studies Deep Learning Humans Retrospective Studies Diagnosis, Differential Adolescent Neural Networks, Computer Female Ultrasonography, Mammary ROC Curve Algorithms Aged Aged, 80 and over
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Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Chronic Exertional Compartment Syndrome Military Personnel Linear Models Leg Fasciotomy Return to Work Male Middle Aged Exercise Surveys and Questionnaires Time Factors Lower Extremity Models, Statistical Area Under Curve ROC Curve Treatment Outcome Support Vector Machine Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Humans Machine Learning Prognosis
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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).
Aged Machine Learning Aged, 80 and over Histological Techniques Middle Aged Algorithms Young Adult Humans Thymus Neoplasms Follow-Up Studies Retrospective Studies Adult Neoplasm Staging Tomography, X-Ray Computed Male Neoplasms, Glandular and Epithelial Female Myasthenia Gravis
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Percutaneous Robot-Assisted versus Freehand S Iliosacral Screw Fixation in Unstable Posterior Pelvic Ring Fracture.

Orthopaedic surgery Dec 13, 2021
OBJECTIVES: To assess the efficiency, safety, and accuracy of S (IS) screw fixation using a robot-assisted method compared with a freehand method.
Humans Retrospective Studies Female Young Adult Fracture Fixation, Internal Robotics Bone Screws Adult Male Middle Aged Pelvic Bones Fractures, Bone
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Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations.

Nature medicine Dec 10, 2021
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in medical imaging applications. However, there is growing concern that such AI systems may reflect and amplify human bias, and reduce the quality of their perfo...
Humans Artificial Intelligence Algorithms Radiography, Thoracic Vulnerable Populations Adolescent Female Child, Preschool Infant, Newborn Child Young Adult Datasets as Topic Male Infant
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Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images.

PLoS biology Dec 9, 2021
Deep neural networks (DNNs) for object classification have been argued to provide the most promising model of the visual system, accompanied by claims that they have attained or even surpassed human-level performance. Here, we evaluated whether DNNs ...
Sensory Thresholds Photic Stimulation Behavior Visual Cortex Humans Neural Networks, Computer Imaging, Three-Dimensional Female Neurons Young Adult Adult Vision, Ocular Male Middle Aged
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Convolutional Neural Network With Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
The functional connectivity provides new insights into the mechanisms of the human brain at network-level, which has been proved to be an effective biomarker for brain disease classification. Recently, machine learning methods have played an importan...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Diseases Connectome Young Adult Adult Humans Male Neural Networks, Computer Adolescent Brain Child Female
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