A computer-assisted technique for prolonged gastric pH monitoring has been developed using a personal computer. Segments of signal from several studies performed in controls and on patients with duodenal ulcers were chosen for comparison between manual and digital pH readings; no significant difference was detected. In clinical practice this system might provide an additional tool in the diagnostic and therapeutic treatment of peptic ulcer disease.

Download full-text PDF

Source
http://dx.doi.org/10.1016/0020-7101(84)90016-3DOI Listing

Publication Analysis

Top Keywords

computer-assisted technique
8
gastric monitoring
8
technique long-term
4
long-term gastric
4
monitoring computer-assisted
4
technique prolonged
4
prolonged gastric
4
monitoring developed
4
developed personal
4
personal computer
4

Similar Publications

Background: Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)-Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV.

View Article and Find Full Text PDF

A feature-based approach for atlas selection in automatic pelvic segmentation.

PLoS One

January 2025

Department of Radiation Physics, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.

Accurate and efficient automatic segmentation is essential for various clinical tasks such as radiotherapy treatment planning. However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. In this work, we have proposed an atlas selection procedure (subset atlas grouping approach, MAS-SAGA) which utilized both image similarity and volume features for selecting the best-fitting atlases for contour propagation.

View Article and Find Full Text PDF

Interfered by external factors, the receptive field limits the traditional CNN multispectral remote sensing building change detection method. It is difficult to obtain detailed building changes entirely, and redundant information is reused in the encoding stage, which reduces the feature representation and detection performance. To address these limitations, we design a Siamese network of shared attention aggregation to learn the detailed semantics of buildings in multispectral remote sensing images.

View Article and Find Full Text PDF

Image-guided Interventions for Core Muscle Injury and Other Disorders in the Pubic Symphysis.

Radiographics

February 2025

Department of Medical Imaging, The Ottawa Hospital, 501 Smyth Rd, Ottawa, ON, Canada K1H 8L6 (D.V.F., J.L.); Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada (D.V.F., J.L.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (D.V.F., J.L.); and Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada (T.M.).

Formerly termed or , core muscle injury (CMI) encompasses abnormality of structures within the so-called core, which is essentially the hip, abdomen, and pubis. Compared with data on image-guided procedures of other joints, information regarding procedures performed to address CMI and other disorders of the pubic symphysis is lacking. These procedures can be daunting given the joint's small size, surrounding critical neurovascular structures, and three-dimensional anatomy.

View Article and Find Full Text PDF

. To develop an augmentation method that simulates cone-beam computed tomography (CBCT) related motion artifacts, which can be used to generate training-data to increase the performance of artificial intelligence models dedicated to auto-contouring tasks.The augmentation technique generates data that simulates artifacts typically present in CBCT imaging.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!