Latest AI and machine learning research in gastroenterology for healthcare professionals.
Mobility after spinal cord injury (SCI) is among the top goals of recovery and improvement in quality of life. Those with tetraplegia rank hand function as the most important area of recovery in their lives, and those with paraplegia, walking. Without hand function, emphasis in rehabilitation is placed on accessing one's environment through technology. However, there is still much reliance on care...
Colorectal cancer is one of the common cancers in the United States. Polyps are one of the major causes of colonic cancer, and early detection of polyps will increase the chance of cancer treatments. In this paper, we propose a novel classification of informative frames based on a convolutional neural network with binarized weights. The proposed CNN is trained with colonoscopy frames along with th...
Colorectal cancer is one of the highest causes of cancer-related death, especially in men. Polyps are one of the main causes of colorectal cancer, and...
In this paper, we present a method for event detection in single-channel lung sound recordings. This includes the detection of crackles and breathing ...
Proper training of convolutional neural networks (CNNs) requires annotated training datasets oflarge size, which are not currently available in CT col...
Accurate, robust, and fast delineation of the clinical target volume (CTV) for the use in radiotherapy of rectal cancer (RC) is highly sought-after. C...
A 53-year-old man with active hepatitis C and cirrhosis presented with a vasculitic rash, myalgias, and fatigue, and was found to have an elevated car...
BACKGROUND AND AIMS: Vedolizumab (VDZ) is effective for Crohn's disease (CD) but costly and is slow to produce remission. Early knowledge of whether v...
The purpose of this pilot study is to determine whether a deep convolutional neural network can be trained with limited image data to detect high-grad...
As one of the most common human helminths, hookworm is a leading cause of maternal and child morbidity, which seriously threatens human health. Recent...
SUMMARY: Gene-based supervised machine learning classification models have been widely used to differentiate disease states, predict disease progressi...
This study sought to investigate genes related to recurrent risk and establish a support vector machine (SVM) classifier for prediction of recurrent r...
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanis...
Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with an orally administered contrast agent on CT colono...
PURPOSE: To report a single surgeon series of consecutive robotic right colectomies (RRC) performed for non-metastatic right colon cancer.
The gap between domain experts and natural language processing expertise is a barrier to extracting understanding from clinical text. We describe a pr...
OBJECTIVE: Previous studies have shown that women carry a higher risk of morbidity and mortality after coronary artery bypass surgery. We investigated...
BACKGROUND: An increasing amount of attention has been paid to minimally invasive function-preserving gastrectomy, with an increase in incidence of ea...