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Total 695 results found since Jan 2013.
A Hand Motion Tracker Supporting Home-Based Rehabilitation for People with Hemiplegia due to Stroke
Stud Health Technol Inform. 2022 Jun 29;295:380-381. doi: 10.3233/SHTI220744.ABSTRACTModern Wearable Medical Devices (WMDs), implement capabilities that have contributed significantly to patient outcomes, as well as quality of life. Using such devices can be beneficial for many patients, especially during the time of the pandemic where everyone had to isolate at home. This paper presents a proof of concept of a new low-cost technology-based approach to support home-based rehabilitation for people with hemiplegia aiming to assess the effectiveness of their home-based exercises thus making telerehabilitation sessions more ef...
Source: Studies in Health Technology and Informatics - July 1, 2022 Category: Information Technology Authors: Konstantinos Katzis Pavlina Psychouli Source Type: research
Pilot Report for Intracranial Hemorrhage Detection with Deep Learning Implanted Head Computed Tomography Images at Emergency Department
AbstractHemorrhagic stroke is a serious clinical condition that requires timely diagnosis. An artificial intelligence algorithm system called DeepCT can identify hemorrhagic lesions rapidly from non-contrast head computed tomography (NCCT) images and has received regulatory clearance. A non-controlled retrospective pilot clinical trial was conducted. Patients who received NCCT at the emergency department (ED) of Kaohsiung Veteran General Hospital were collected. From 2020 January-1st to April-30th, the physicians read NCCT images without DeepCT. From 2020May-1st to August-31st, the physicians were assisted by DeepCT. The...
Source: Journal of Medical Systems - June 8, 2022 Category: Information Technology Source Type: research
Toku Eyes launches AI retinal health scanner in the US
The AI platform can predict a person ' s risk of having a stroke or a heart attack in the next five years.
Source: mobihealthnews - June 1, 2022 Category: Information Technology Source Type: news
Discovering Key Topics in Emergency Medical Dispatch from Free Text Dispatcher Observations
The objective of this work was to discover key topics latent in free text dispatcher observations registered during emergency medical calls. We used a total of 1374931 independent retrospective cases from the Valencian emergency medical dispatch service in Spain, from 2014 to 2019. Text fields were preprocessed to reduce vocabulary size and filter noise, removing accent and punctuation marks, along with uninformative and infrequent words. Key topics were inferred from the multinomial probabilities over words conditioned on each topic from a Latent Dirichlet Allocation model, trained following an online mini-batch variation...
Source: Studies in Health Technology and Informatics - May 25, 2022 Category: Information Technology Authors: Pablo Ferri Carlos S áez Antonio F élix-De Castro Purificaci ón Sánchez-Cuesta Juan M Garc ía-Gómez Source Type: research
