Artificial Intelligence Clinical Trial
— YGenHiViOfficial title:
Evaluation of the POSOS Device for Iatrogenesis Detection in Clinical History? A Vignettes Study
NCT number | NCT05952193 |
Other study ID # | PI2023_843_0070 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | June 21, 2023 |
Est. completion date | July 2024 |
This study is a multicenter evaluation of diagnostic performance using simulated clinical vignettes. It aims to test the effectiveness of the POSOS app in detecting drug-induced iatrogenesis in urgent medical situations, an issue of public health importance. Participating physicians, who are randomly assigned to either use or not use POSOS, are categorized based on their years of experience. Vignettes, including a mixture of complex, simple, and non-iatrogenesis cases, are assigned to these doctors. During the simulation, physicians respond to their respective vignettes on the YgheniVi platform, with responses recorded at two intervals (5 min and 15 min). The supervising physicians subsequently fill out an e-CRF, providing further data on the time spent, the number of medical research applications used, and the overall user experience of POSOS. A doctor/pharmacist pair then corrects the answers to the vignettes.
Status | Recruiting |
Enrollment | 128 |
Est. completion date | July 2024 |
Est. primary completion date | July 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Not applicable as the study population is made up of clinical vignettes, there is no inclusion of patients. - The physicians included are emergency physicians, selected by convenience so as to have as many physicians (seniority of practice 3 years after thesis) as (seniority of practice less). Exclusion Criteria: - Not applicable. - Simulations with technical faults will be excluded: (absence of the test doctor, internet access not working, PC malfunction, serious disruptions during the simulation). |
Country | Name | City | State |
---|---|---|---|
France | CHU Amiens | Amiens |
Lead Sponsor | Collaborator |
---|---|
Centre Hospitalier Universitaire, Amiens | Centre Hospitalier de Bourg en Bresse, Centre Hospitalier de Niort, Centre Hospitalier Régional Metz-Thionville, Centre Hospitalier Universitaire de Nice, CHU de Créteil, CHU de Reims, CHU de Rouen - Accueil, Médipôle Lyon-Villeurbanne, Saint Antoine University Hospital, University Hospital, Grenoble, University Hospital, Lille, University Hospital, Montpellier |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | the proportion of overall correct responses in each groups | 5 minutes |
Status | Clinical Trial | Phase | |
---|---|---|---|
Completed |
NCT04589078 -
Polyp REcognition Assisted by a Device Interactive Characterization Tool - The PREDICT Study
|
||
Completed |
NCT03857438 -
Correlation of Audiovisual Features With Clinical Variables and Neurocognitive Functions in Bipolar Disorder, Mania
|
||
Completed |
NCT04735055 -
Artificial Intelligence Prediction for the Severity of Acute Pancreatitis
|
||
Not yet recruiting |
NCT05452993 -
Screening for Diabetic Retinopathy in Pharmacies With Artificial Intelligence Enhanced Retinophotography
|
N/A | |
Not yet recruiting |
NCT04337229 -
Evaluation of Comfort Behavior Levels of Newborns With Artificial Intelligence Techniques
|
N/A | |
Completed |
NCT05687318 -
A Clinical Trial of the Effectiveness and Safety of Software Assisting Diagnose the Intestinal Polyp Digestive Endoscopy by Analysis of Colonoscopy Medical Images From Electronic Digestive Endoscopy Equipment
|
N/A | |
Recruiting |
NCT06051682 -
Optimization of the Diagnosis of Bone Fractures in Patients Treated in the Emergency Department by Using Artificial Intelligence for Reading Radiological Images in Comparison With Traditional Reading by the Emergency Doctor.
|
N/A | |
Not yet recruiting |
NCT06039917 -
Effect of the Automatic Surveillance System on Surveillance Rate of Patients With Gastric Premalignant Lesions
|
N/A | |
Not yet recruiting |
NCT06362629 -
AI App for Management of Atopic Dermatitis
|
N/A | |
Recruiting |
NCT06164002 -
A I in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With 2 Ceramic Materials
|
N/A | |
Recruiting |
NCT06059378 -
Real-life Implementation of an AI-based Optical Diagnosis
|
N/A | |
Completed |
NCT05517889 -
Repeatability and Stability of Healthy Skin Features on OCT
|
||
Completed |
NCT04816981 -
AI-EBUS-Elastography for LN Staging
|
N/A | |
Completed |
NCT05006092 -
Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE)
|
N/A | |
Recruiting |
NCT04535466 -
Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics
|
||
Enrolling by invitation |
NCT04719117 -
Retrograde Cholangiopancreatography AI Assisted System Validation on Effectiveness and Safety
|
||
Completed |
NCT04399590 -
Comparing the Number of False Activations Between Two Artificial Intelligence CADe Systems: the NOISE Study
|
||
Recruiting |
NCT04126265 -
Artificial Intelligence-assisted Colonoscopy for Detection of Colon Polyps
|
N/A | |
Recruiting |
NCT06255808 -
Development of Assist Tool for Breast Examination Using the Principle of Ultrasonic Sensor
|
||
Recruiting |
NCT04131530 -
Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence
|