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Artificial Intelligence - ClinicalTrials.gov

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Last Updated: 10 September 2022

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Artificial Intelligence in a Population-based Breast Cancer Screening - the Prospective Clinical Trial ScreenTrust CAD

Since all decisions made by individual readers will be published, it's likely that one or two of the readers would have been able to examine photos in order to determine what the result would have been if consensus decision was followed rather than single reader arbitration of discordant cases.

Source link: https://clinicaltrials.gov/ct2/show/NCT04778670


Development of an Artificial Intelligence-based Incident Prediction Algorithm to Improve Cancer Patient Care and Patient Safety

By more timely intervention, PRO-React by CANKADO is designed to warn impending incident risks at a younger age than previously possible, reduce the possibility of unfavorable occurrence, minimize the necessity of countermeasures, or otherwise minimize patient risks. The OMCAT Register aims to publish learning databases in cancer containing both PRO and "ground truth" data as well as PRO results. Intelligent learning and knowledge engineering algorithms will benefit from this PRO data to develop high-quality event prediction algorithms. Since forecast events can be confirmed with a high degree of certainty from ground-truth results, ground-truth data can be used to support so-called "supervised learning" methods of artificial intelligence. The highest "sampling frequency" in PRO time series for cancer applications is the most notable feature of a PRO time series for applications in cancer, relative to studies, which generally take place at set and less frequent intervals.

Source link: https://clinicaltrials.gov/ct2/show/NCT04531995


Study on the Effectiveness of Gastroscope Operation Quality Control Based on Artificial Intelligence Technology

Gastroscopy plays a vital role in the detection and diagnosis of upper gastrointestinal diseases. However, the number of endoscopies increasing rises, but endoscopists' workload continues to rise as a result. Therefore, running artificial intelligence techniques has strong academic and practical value for improving endoscopic diagnosis and treatment. To learn and validate the model, artificial intelligence devices need to use a large number of endoscopic photographs, and we intend to gather endoscopic image data from our hospitals.

Source link: https://clinicaltrials.gov/ct2/show/NCT04384575


Real World Testing of an Artificial Intelligence-enabled App as an Early Intervention and Support Tool in the Mental Health Referral Care Pathway

Each year, over a million people are referred to UK mental health services, but more than half receive just one session of workbook-based assistance. Wysa is a digital health app with over 3 million users that uses an artificial intelligence chatbot and a series of self-care exercises to provide mental health assistance and education to help people identify how to monitor their mental health and increase resilience. During the referral process for standard UK mental health services, this project intends to investigate the effects of using Wysa on patients' symptoms of anxiety and depression. The investigators will bring together a group of patients and citizens of the public to help with the recruitment of patients for the investigation, the methods we use to analyze Wysa, and data on how to present the findings of our investigation to the general public. The investigators will investigate the consequences of using Wysa patients' mental wellbeing to examine the effects of using the standard IAPT measures of anxiety and depression. The investigators will look at whether Wysa can identify people with persistent mental health problems so that they can be provided with additional assistance. The investigators anticipate that Wysa helps reduce anxiety and depression in people who are on the waiting list for IAPT. If the report shows such positive results, it would help to promote the use of Wysa to expand the availability of mental health services in clinical pathways.

Source link: https://clinicaltrials.gov/ct2/show/NCT05533190

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions