AIMC Topic: Sensitivity and Specificity

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Machine learning annotation of human branchpoints.

Bioinformatics (Oxford, England)
MOTIVATION: The branchpoint element is required for the first lariat-forming reaction in splicing. However current catalogues of human branchpoints remain incomplete due to the difficulty in experimentally identifying these splicing elements. To addr...

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes.

Journal of digital imaging
Electronic medical record (EMR) systems provide easy access to radiology reports and offer great potential to support quality improvement efforts and clinical research. Harnessing the full potential of the EMR requires scalable approaches such as nat...

Preprocessing Prediction of Advanced Algorithms for Medical Imaging.

Journal of digital imaging
Advanced medical imaging algorithms (such as bone removal, vessel segmentation, or a lung nodule detection) can provide extremely valuable information to the radiologists, but they might sometimes be very time consuming. Being able to run the algorit...

[Single-chain antibodies from alpaca for the detection of Fasciola hepatica antigens].

Revista peruana de medicina experimental y salud publica
OBJECTIVES.: To produce recombinant single-chain antibodies from alpaca that will bind to the excreted-secreted (ES) Fasciola hepatica antigen with high affinity and specificity, so as to develop new diagnostic technologies of human and animal fascio...

[Evaluation of the lateral flow Aspergillus assay for the diagnosis of invasive aspergillosis, experience in a university hospital].

Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia
BACKGROUND: The incidence of invasive aspergillosis is increasing. Its diagnosis is based on clinical and microbiological criteria which include the determination of serological markers such as galactomannan. Recently, the Aspergillus lateral flow de...

[Automated Classification of Calcification and Stent on Computed Tomography Coronary Angiography Using Deep Learning].

Nihon Hoshasen Gijutsu Gakkai zasshi
In computed tomography coronary angiography (CTCA), calcification and stent make it difficult to evaluate intravascular lumen. This is a cause of low positive-predictive value of coronary stenosis. Therefore, it is expected to develop a computer-aide...

Automation of Detection of Cervical Cancer Using Convolutional Neural Networks.

Critical reviews in biomedical engineering
Classification of digital cervical images acquired during visual inspection with acetic acid (VIA) is an important step in automated image-based cervical cancer detection. Many algorithms have been developed for classification of cervical images base...