AIMC Topic: Sensitivity and Specificity
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Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.
The Lancet. Digital health
Sep 1, 2021
BACKGROUND: Delays in the diagnosis of genetic syndromes are common, particularly in low and middle-income countries with limited access to genetic screening services. We, therefore, aimed to develop and evaluate a machine learning-based screening te...
Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.
Radiology
Aug 31, 2021
Background A computer-aided detection (CAD) system may help surveillance for pulmonary metastasis at chest radiography in situations where there is limited access to CT. Purpose To evaluate whether a deep learning (DL)-based CAD system can improve di...
Predicting postoperative pain following root canal treatment by using artificial neural network evaluation.
Scientific reports
Aug 26, 2021
This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model for predicting postoperative pain following root canal treatment (RCT). The BP neural network model was developed using MATLAB 7.0 neural network toolb...
Deep learning to diagnose pouch of Douglas obliteration with ultrasound sliding sign.
Reproduction & fertility
Aug 25, 2021
OBJECTIVES: Pouch of Douglas (POD) obliteration is a severe consequence of inflammation in the pelvis, often seen in patients with endometriosis. The sliding sign is a dynamic transvaginal ultrasound (TVS) test that can diagnose POD obliteration. We ...
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning.
Computers in biology and medicine
Aug 25, 2021
Lung cancer has one of the highest mortalities of all cancers. According to the National Lung Screening Trial, patients who underwent low-dose computed tomography (CT) scanning once a year for 3 years showed a 20% decline in lung cancer mortality. To...
Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning.
Scientific reports
Aug 25, 2021
Auscultation has been essential part of the physical examination; this is non-invasive, real-time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is important in diagnosing respiratory diseases and providing first a...
A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography.
Scientific reports
Aug 23, 2021
Machine learning (ML) holds great promise in transforming healthcare. While published studies have shown the utility of ML models in interpreting medical imaging examinations, these are often evaluated under laboratory settings. The importance of rea...
Discriminative deep learning based benignity/malignancy diagnosis of dermatologic ultrasound skin lesions with pretrained artificial intelligence architecture.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Aug 22, 2021
BACKGROUND: Deep-learning algorithms (DLAs) have been used in artificial intelligence aided ultrasonography diagnosis of thyroid and breast lesions. However, its use has not been described in the case of dermatologic ultrasound lesions. Our purpose w...
Assessment of Axillary Lymph Nodes for Metastasis on Ultrasound Using Artificial Intelligence.
Ultrasonic imaging
Aug 20, 2021
The purpose of this study was to evaluate an artificial intelligence (AI) system for the classification of axillary lymph nodes on ultrasound compared to radiologists. Ultrasound images of 317 axillary lymph nodes from patients referred for ultrasoun...
Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning.
Journal of healthcare engineering
Aug 17, 2021
Lung cancer is one of the most malignant tumors. If it can be detected early and treated actively, it can effectively improve a patient's survival rate. Therefore, early diagnosis of lung cancer is very important. Early-stage lung cancer usually appe...
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