AIMC Topic: Sensitivity and Specificity
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Predicting ventilator-associated pneumonia with machine learning.
Medicine
Jun 11, 2021
Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive care units (ICUs). Existing methods for identifying VAP display low accuracy, and their use may delay antimicrobial therapy. VAP diagnostics derived ...
Accuracy of artificial intelligence-assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta-analysis.
Journal of digestive diseases
Jun 1, 2021
OBJECTIVE: To investigate systematically previous studies on the accuracy of artificial intelligence (AI)-assisted diagnostic models in detecting esophageal neoplasms on endoscopic images so as to provide scientific evidence for the effectiveness of ...
A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence-Based Fat-Suppressed Imaging Feasible?
Investigative radiology
Jun 1, 2021
MATERIALS AND METHODS: This single-center study was approved by the institutional review board. Artificial intelligence-based FS MRI scans were created from non-FS images using a deep learning system with a modified convolutional neural network-based...
Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.
The British journal of surgery
May 27, 2021
BACKGROUND: Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has implications for the extent of lymph node dissection. The lymphatic drainage of the stomach involves multiple nodal stations with different risks of metastases. ...
Digital holographic deep learning of red blood cells for field-portable, rapid COVID-19 screening.
Optics letters
May 15, 2021
Rapid screening of red blood cells for active infection of COVID-19 is presented using a compact and field-portable, 3D-printed shearing digital holographic microscope. Video holograms of thin blood smears are recorded, individual red blood cells are...
Compressive recovery of smartphone RGB spectral sensitivity functions.
Optics express
Apr 12, 2021
Spectral response (or sensitivity) functions of a three-color image sensor (or trichromatic camera) allow a mapping from spectral stimuli to RGB color values. Like biological photosensors, digital RGB spectral responses are device dependent and signi...
[Feasibility multi-center study of artificial intelligence assistance in cervical fluid-based cytology diagnosis].
Zhonghua bing li xue za zhi = Chinese journal of pathology
Apr 8, 2021
To propose a method of cervical cytology screening based on deep convolutional neural network and compare it with the diagnosis of cytologists. The deep segmentation network was used to extract 618 333 regions of interest (ROI) from 5, 516 cytologi...
Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.
The Lancet. Digital health
Apr 1, 2021
BACKGROUND: Strategies for integrating artificial intelligence (AI) into thyroid nodule management require additional development and testing. We developed a deep-learning AI model (ThyNet) to differentiate between malignant tumours and benign thyroi...
Machine Learning Prediction of SARS-CoV-2 Polymerase Chain Reaction Results with Routine Blood Tests.
Laboratory medicine
Mar 15, 2021
OBJECTIVE: The diagnosis of COVID-19 is based on the detection of SARS-CoV-2 in respiratory secretions, blood, or stool. Currently, reverse transcription polymerase chain reaction (RT-PCR) is the most commonly used method to test for SARS-CoV-2.
Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.
Pediatrics
Mar 1, 2021
OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial intelligence (AI)-based screening in an Indian ROP telemedicine pr...
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