Preventive Care

Machine learning approach for early detection of autism by combining questionnaire and home video screening.

BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- ...

Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

Mammographic breast density has been established as an independent risk marker for developing breast...

Immunogenicity, Safety, and Tolerability of Live Attenuated VaricellaZoster Virus Vaccine (ZOSTAVAX™) in Healthy Adults in India.

BACKGROUND: Herpes zoster (HZ) is caused by varicella-zoster virus ( VZV ) reactivation. In the Unit...

A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening.

Segmentation of retinal anatomical features such as optic nerve head (ONH) and optic cup, the bright...

A New and Improved Method for Automated Screening of Age-Related Macular Degeneration Using Ensemble Deep Neural Networks.

In this paper, we provide a new framework on deep learning based automated screening method for find...

Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network.

Colorectal cancer is one of the highest causes of cancer-related death, especially in men. Polyps ar...

Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights.

Colorectal cancer is one of the common cancers in the United States. Polyps are one of the major cau...

Potential of artificial intelligence-assisted colonoscopy using an endocytoscope (with video).

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.

Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as ...

[Implementation of artificial intelligence into colonoscopy: experience of research and development of computer-aided diagnostic system for endocytoscopy].

Machine Learning-based Virtual Screening and Its Applications to Alzheimer's Drug Discovery: A Review.

BACKGROUND: Virtual Screening (VS) has emerged as an important tool in the drug development process,...

Machine Learning Enables Live Label-Free Phenotypic Screening in Three Dimensions.

There is a large amount of information in brightfield images that was previously inaccessible by usi...

NLPReViz: an interactive tool for natural language processing on clinical text.

The gap between domain experts and natural language processing expertise is a barrier to extracting ...

Chronic Kidney Disease: Detection and Evaluation.

Chronic kidney disease affects 47 million people in the United States and is associated with signifi...

[Construction and identification of nanobody phage display library targeting Middle East respiratory syndrome coronavirus].

Objective To construct a phage display library of specific nano-antibodies against the Middle East r...

Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.

OBJECTIVE: Widespread application of clinical natural language processing (NLP) systems requires tak...

Using Natural Language Processing to Extract Abnormal Results From Cancer Screening Reports.

OBJECTIVES: Numerous studies show that follow-up of abnormal cancer screening results, such as mammo...

Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-relat...

Identification of human flap endonuclease 1 (FEN1) inhibitors using a machine learning based consensus virtual screening.

Human Flap endonuclease1 (FEN1) is an enzyme that is indispensable for DNA replication and repair pr...

Image quality classification for DR screening using deep learning.

The quality of input images significantly affects the outcome of automated diabetic retinopathy (DR)...

The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5.

IMPORTANCE: Recognition that adult attention-deficit/hyperactivity disorder (ADHD) is common, seriou...