AIMC Topic: Deep Learning

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Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.

The Lancet. Digital health
BACKGROUND: Ultrasound is a critical non-invasive test for preoperative diagnosis of ovarian cancer. Deep learning is making advances in image-recognition tasks; therefore, we aimed to develop a deep convolutional neural network (DCNN) model that aut...

Estimating the size of unerupted teeth: Moyers vs deep learning.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: This study aimed to design a deep learning (DL) system for estimating the sum of the mesiodistal widths (MDWs) of unerupted mandibular canines and premolars in the mixed dentition period and to clarify its performance by comparing DL es...

DENOISING SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY VOLUMETRIC SCANS USING A DEEP LEARNING MODEL.

Retina (Philadelphia, Pa.)
PURPOSE: To evaluate the use of a deep learning noise reduction model on swept source optical coherence tomography volumetric scans.

Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis.

The American journal of gastroenterology
INTRODUCTION: Cirrhosis is associated with cardiac dysfunction and distinct electrocardiogram (ECG) abnormalities. This study aimed to develop a proof-of-concept deep learning-based artificial intelligence (AI) model that could detect cirrhosis-relat...

Artificial Intelligence and the Risk for Intuition Decline in Clinical Medicine.

The American journal of gastroenterology
Artificial intelligence (AI) is revolutionizing big data analytics. In this issue of The American Journal of Gastroenterology, Ahn et al. introduce the AI-cirrhosis-electrocardiogram score that can grade the electrophysiologic cardiac changes present...

Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image Quality.

Investigative radiology
OBJECTIVES: The aim of this study was to investigate the feasibility and impact of a novel deep learning superresolution algorithm tailored to partial Fourier allowing retrospectively theoretical acquisition time reduction in 1.5 T T1-weighted gradie...

Using Deep Learning Segmentation for Endotracheal Tube Position Assessment.

Journal of thoracic imaging
PURPOSE: The purpose of this study was to determine the efficacy of using deep learning segmentation for endotracheal tube (ETT) position on frontal chest x-rays (CXRs).

Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test.

Fa yi xue za zhi
OBJECTIVES: To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognit...

[Unsupervised deep learning for identifying the O -carboxymethyl guanine by nanopore sequencing].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
O -carboxymethyl guanine(O -CMG) is a highly mutagenic alkylation product of DNA that causes gastrointestinal cancer in organisms. Existing studies used mutant porin A (MspA) nanopore assisted by Phi29 DNA polymerase to localize it. Recently, machi...

Deeplasmid: deep learning accurately separates plasmids from bacterial chromosomes.

Nucleic acids research
Plasmids are mobile genetic elements that play a key role in microbial ecology and evolution by mediating horizontal transfer of important genes, such as antimicrobial resistance genes. Many microbial genomes have been sequenced by short read sequenc...