AIMC Topic: Reproducibility of Results

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Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard.

Journal of magnetic resonance imaging : JMRI Jul 26, 2020
BACKGROUND: MRI is the most commonly used imaging method for diagnosing anterior cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time-intensive and depends on the clinical experience of the reader. An automated detection ...
Sensitivity and Specificity Deep Learning Magnetic Resonance Imaging Arthroscopy Reference Standards Anterior Cruciate Ligament Anterior Cruciate Ligament Injuries Humans Retrospective Studies Reproducibility of Results
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Robotic tests for position sense and movement discrimination in the upper limb reveal that they each are highly reproducible but not correlated in healthy individuals.

Journal of neuroengineering and rehabilitation Jul 25, 2020
BACKGROUND: Robotic technologies for neurological assessment provide sensitive, objective measures of behavioural impairments associated with injuries or disease such as stroke. Previous robotic tasks to assess proprioception typically involve single...
Proprioception Reproducibility of Results Neurologic Examination Humans Young Adult Robotics Female Male Healthy Volunteers Adolescent Movement Upper Extremity
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Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture.

Sensors (Basel, Switzerland) Jul 24, 2020
Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world's growing population while limiting environmental pollution. The aim of this pap...
Artificial Intelligence Internet of Things Soil Reproducibility of Results Agriculture
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Depth in convolutional neural networks solves scene segmentation.

PLoS computational biology Jul 24, 2020
Feed-forward deep convolutional neural networks (DCNNs) are, under specific conditions, matching and even surpassing human performance in object recognition in natural scenes. This performance suggests that the analysis of a loose collection of image...
Pattern Recognition, Visual Visual Cortex Recognition, Psychology Male Adolescent Signal Processing, Computer-Assisted Visual Perception Brain Humans Female Reproducibility of Results Neural Networks, Computer Young Adult Adult
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Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.

European radiology Jul 23, 2020
OBJECTIVES: To evaluate short-term test-retest repeatability of a deep learning architecture (U-Net) in slice- and lesion-level detection and segmentation of clinically significant prostate cancer (csPCa: Gleason grade group > 1) using diffusion-weig...
Neural Networks, Computer Reproducibility of Results Male Deep Learning Prostatic Neoplasms Humans Diffusion Magnetic Resonance Imaging
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Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

European radiology Jul 22, 2020
OBJECTIVE: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.
Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Humans Machine Learning Middle Aged Diagnosis, Computer-Assisted ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Aged Adult Sensitivity and Specificity Male Image Processing, Computer-Assisted Area Under Curve
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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
False Positive Reactions Tobacco Use Disorder Support Vector Machine Natural Language Processing Bayes Theorem Data Mining Automation Pattern Recognition, Automated Smoking Observer Variation Medical Informatics Electronic Health Records Reproducibility of Results Sweden ROC Curve Machine Learning Software Algorithms Research Design Humans
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The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.

Cancer medicine Jul 22, 2020
BACKGROUND: Adequate cytology is limited by insufficient cytologists in a large-scale cervical cancer screening. We aimed to develop an artificial intelligence (AI)-assisted cytology system in cervical cancer screening program.
Humans Female Vaginal Smears Reproducibility of Results Early Detection of Cancer Predictive Value of Tests Neoplasm Grading Uterine Cervical Dysplasia Colposcopy Biopsy Cytodiagnosis Aged Young Adult Adult Uterine Cervical Neoplasms Middle Aged Diagnosis, Computer-Assisted Deep Learning China
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Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening.

Acta cytologica Jul 21, 2020
BACKGROUND: In the face of rapid technological advances in computational cytology including artificial intelligence (AI), optimization of its application to clinical practice would benefit from reflection on the lessons learned from the decades-long ...
Artificial Intelligence Automation, Laboratory Female Reproducibility of Results Uterine Cervical Neoplasms Humans Predictive Value of Tests Workload Workflow Diffusion of Innovation Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Papanicolaou Test Vaginal Smears Early Detection of Cancer
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Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.

European radiology Jul 21, 2020
OBJECTIVES: To develop and validate a deep learning model to discriminate transient from persistent subsolid nodules (SSNs) on baseline CT.
Adult Male Radiology Middle Aged Radiologists Lung Calibration Lung Neoplasms Solitary Pulmonary Nodule Tomography, X-Ray Computed Area Under Curve Female Deep Learning Humans Reproducibility of Results Image Processing, Computer-Assisted Retrospective Studies Aged
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