Results 141 to 150 of about 198,408 (356)

Methods for drug safety signal detection using routinely collected observational electronic health care data: A systematic review

open access: yesPharmacoepidemiology and Drug Safety, Volume 32, Issue 1, Page 28-43, January 2023., 2023
Abstract Purpose Signal detection is a crucial step in the discovery of post‐marketing adverse drug reactions. There is a growing interest in using routinely collected data to complement established spontaneous report analyses. This work aims to systematically review the methods for drug safety signal detection using routinely collected healthcare data
Astrid Coste   +4 more
wiley   +1 more source

Narrative review of the prevalence and distribution of acute pain in children in the self‐care setting

open access: yesPaediatric and Neonatal Pain, Volume 4, Issue 4, Page 169-191, December 2022., 2022
Abstract Acute pain among children is common, yet it may be underestimated and undertreated if the pain is not recognized. Assessing and managing pediatric pain can be complicated, and as such, measuring the prevalence of acute pain in children can be challenging.
Nutan Shinde   +2 more
wiley   +1 more source

ColonNet: A Hybrid Of DenseNet121 And U-NET Model For Detection And Segmentation Of GI Bleeding [PDF]

open access: yesarXiv
This study presents an integrated deep learning model for automatic detection and classification of Gastrointestinal bleeding in the frames extracted from Wireless Capsule Endoscopy (WCE) videos. The dataset has been released as part of Auto-WCBleedGen Challenge Version V2 hosted by the MISAHUB team.
arxiv  

Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification [PDF]

open access: yesarXiv
In recent years, the diagnosis of gastrointestinal (GI) diseases has advanced greatly with the advent of high-tech video capsule endoscopy (VCE) technology, which allows for non-invasive observation of the digestive system. The MisaHub Capsule Vision Challenge encourages the development of vendor-independent artificial intelligence models that can ...
arxiv  

WCE Polyp Detection with Triplet based Embeddings [PDF]

open access: yesarXiv, 2019
Wireless capsule endoscopy is a medical procedure used to visualize the entire gastrointestinal tract and to diagnose intestinal conditions, such as polyps or bleeding. Current analyses are performed by manually inspecting nearly each one of the frames of the video, a tedious and error-prone task.
arxiv  

Systemic therapy‐based split‐course stereotactic body radiation therapy

open access: yesPrecision Radiation Oncology, Volume 6, Issue 4, Page 306-320, December 2022., 2022
Abstract Purpose Given the therapeutic toxicity of concurrent chemoradiotherapy, the dose of chemotherapy is always limited. Hence, the question of how to administer adequate chemotherapy to synchronize stereotactic body radiation therapy (SBRT) treatment strategy for maximizing the benefits of neoadjuvant therapy to improve prognosis is a challenging ...
Rong Zheng   +3 more
wiley   +1 more source

Effect of cimetidine on upper gastrointestinal bleeding after renal transplantation: a prospective study. [PDF]

open access: bronze, 1984
Susanna Walter   +6 more
openalex   +1 more source

Implications of Artificial Intelligence in Stroke Intervention and Care

open access: yesiRADIOLOGY, EarlyView.
The implication of AI based algorithms in preclinical and clinical stroke studies → Efficiency of post‐stroke analysis of animal behavioral and motor function in preclinical models have been improved by AI‐based methods. In clinical scenario, population‐based risk‐prediction as well as post‐stroke diagnosis, treatment and rehabilitation has been ...
Jyoti Yadav   +8 more
wiley   +1 more source

Accuracy of early endoscopy in acute upper gastrointestinal bleeding. [PDF]

open access: bronze, 1982
C Zambartas   +3 more
openalex   +1 more source

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