Clinical trials: Intelligence
Pediatric Outpatients Encountered in Three Specialty Clinics, i.e. Respirology, Gastroenterology, and Genito-urology
Effects of Expert Arbitration on Clinical Outcomes When Disputes Over Diagnosis Arise Between Physicians and Their Artificial Intelligence Counterparts: a Randomized, Multicenter Trial in Pediatric Outpatients
We have recently developed an artificial intelligence (AI) framework to diagnose common pediatric diseases. This randomized controlled clinical trial aims to investigate the effects of expert arbitration on clinical outcomes in…
- Trial name
- NCT04011761
- Testing
- expert arbitration over discordant diagnoses made by AI diagnostic system and human doctors, respectively
- Where
- China
- Volunteers
- 10,000 people
- Sponsor
- Guangzhou Women and Children's Medical Center
Smoking Cessation
Optimizing Chatbot Reminder Timing in a Chatbot Cessation Service: A Micro-Randomized Trial
The goal of this study is to learn whether the timing of weekly chatbot reminders affects user engagement with the chatbot cessation service.
- Trial name
- NCT07826884
- Testing
- Chatbot Cessation Service With Randomized Reminder Timing
- Where
- Hong Kong
- Volunteers
- 350 people
- Sponsor
- The University of Hong Kong
Artificial Intelligence (AI), Clinical Reasoning
Learning Diagnostic Reasoning Through AI
This experiment aims to determine the effect of AI-generated questions and feedback on diagnostic reasoning in preclinical medical students.
- Conditions
- Artificial Intelligence (AI), Clinical Reasoning, Medical Education, Feedback
- Trial name
- NCT06754826
- Testing
- AI-generated questions and feedback as a spaced repetition
- Where
- Turkey (Türkiye)
- Volunteers
- 71 people, healthy volunteers welcome
- Sponsor
- Gazi University
Artificial Intelligence, Usability
AI-based Informational Assistant for Automated Point-of-care Documentation and Protocol Retrieval
Clinical rounds in the intensive care unit (ICU) involve substantial manual documentation. Retrieving the correct protocol text and structuring notes at the bedside is time-consuming and may contribute to variation in…
- Trial name
- NCT07493616
- Volunteers
- 25 people
- Sponsor
- Willemijn Berkhout
Cardiovascular Diseases
Clinical Validation of an Artificial Intelligence Tool to Predict Inversion Time
Introduction: Inversion-recovery (IR) magnetic resonance (MR) sequences are commonly used to perform late-gadolinium enhancement (LGE) imaging during cardiac magnetic resonance (CMR) scans. Inversion Time (TI), i.e.
- Trial name
- THAITI-V (NCT06855238)
- Testing
- THAITI software
- Where
- Italy
- Volunteers
- 60 people
- Sponsor
- Istituto Auxologico Italiano
Premature Infant
The Early Life Clinical Feature and Risk Factors Analysis in Children With Neurodevelopmental Disorders
The study will be a 5-year retrospective and prospective case control study, included 650 participants, and participants will be divided into four groups.By this research the investigators will achieve several aims:(1) Through…
- Trial name
- NCT05430256
- Where
- Taiwan
- Volunteers
- 650 people
- Sponsor
- Chang Gung Memorial Hospital
Anesthesia Complication, Surgery-Complications
Machine Learning Models for Predicting Unforeseen Hospital Admissions or Discharges After Anesthesia
Unexpected hospital admissions after ambulatory surgery not only bring discomfort to patients but also causes a decrease in the efficiency of the healthcare system.
- Conditions
- Anesthesia Complication, Surgery-Complications, Pain, Postoperative
- Trial name
- NCT06582407
- Testing
- Mathematical Prediction of unforseen patient reorientation
- Where
- Belgium
- Volunteers
- 68,683 people
- Sponsor
- HUmani
Congenital Heart Disease (CHD), Screening Tool
"SOUND" Trial: Study of On-site Use of Novel AI-assisted Diagnostics in CHD Screening
This study plans to conduct clinical validation of the model in real clinical settings, comparing it with primary care physicians and specialist physicians to ensure the model's practicality.
- Conditions
- Congenital Heart Disease (CHD), Screening Tool, Artificial Intelligence (AI), Cluster Randomized Trial
- Trial name
- NCT06791109
- Testing
- Primary care physicians, AI + Primary care physicians
- Where
- China
- Volunteers
- 19,697 people, healthy volunteers welcome
- Sponsor
- Kun Sun
Malaria,Falciparum, Malaria in Pregnancy
Plasmodium Falciparum Genomic Intelligence in Mozambique
Mozambique is among the ten countries with the highest burden of malaria worldwide, with an estimated 9.3 million cases in 2018, and constitutes a core target for the World Health Organization (WHO) and the Roll Back Malaria…
- Conditions
- Malaria,Falciparum, Malaria in Pregnancy, Malaria
- Trial name
- GenMoz (NCT05306067)
- Testing
- LDH-based malaria rapid diagnostic test, Malaria rapid diagnostic test
- Where
- Mozambique
- Volunteers
- 21,848 people, healthy volunteers welcome
- Sponsor
- Centro de Investigacao em Saude de Manhica
Irreversible Pulpitis (Toothache)
Evaluation Of Laser Versus Conventional Pulpotomies In Mature Molar Teeth With Irreversible Pulpitis
this clinical trial is evaluating the outcome of laser assisted pulpotomy compared to conventional pulpotomy in mature teeth with symptomatic irreversible pulpitis (SIP) assessed by CBCT followed by automated segmentation using…
- Trial name
- NCT07287709
- Testing
- Diode laser, Sodium Hypochlorite Solution
- Where
- Egypt
- Volunteers
- 60 people
- Sponsor
- Rana Hegaz
Use of Ambient AI Scribes, Patient-Phyisican Interaction
Assessing the Efficacy and Impact of Ambient AI Scribes in Healthcare
The goal of this clinical trial is to assess the impacts of ambient AI scribes on the workload and burnout in physicians who see patients in a clinic setting at least twice in a week, as well as the impacts on patient-physician…
- Conditions
- Use of Ambient AI Scribes, Patient-Phyisican Interaction, Physician Workload, Physician Burnout
- Trial name
- NCT07113938
- Testing
- Ambient AI Scribe
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- University of Saskatchewan
Diabetes Mellitus, Artificial Intelligence (AI)
Artificial Intelligence-Supported Mobile Application For Diabetes Self-Management
Patients in the AI-supported mobile application group will be able to log in with a username and password that will be defined specifically for them.
- Conditions
- Diabetes Mellitus, Artificial Intelligence (AI), Self-management
- Trial name
- NCT06650098
- Testing
- artificial intelligence-supported mobile application, WEB based application
- Where
- Turkey (Türkiye)
- Volunteers
- 156 people
- Sponsor
- Uludag University
Acute Respiratory Distress Syndrome, Pneumonia in Children
Using Artificial Intelligence To Improve Ventilator Settings For Intensive Care Patients
This observational study aims to determine whether an AI-assisted decision support system can improve clinical outcomes for mechanically ventilated pediatric patients (aged 1 month to 18 years) in the PICU, compared to standard…
- Conditions
- Acute Respiratory Distress Syndrome, Pneumonia in Children, Respiratory Failure (Pediatric Patients)
- Trial name
- NCT07592039
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Wu Rongzhou
Oral Health, Dental Caries
The Use of Artificial Intelligence in the Dental X-rays Analysis
This cross-sectional study aims to perform a population-based assessment of the incidence of decay, dental fillings, root canal fillings, endodontic lesions, implants, implant and dental abutment crowns, pontic crowns, and…
- Conditions
- Oral Health, Dental Caries, Periapical Diseases, Tooth Loss
- Trial name
- NCT06258798
- Testing
- Taking a dental X-ray
- Where
- Poland
- Volunteers
- 1,025 people
- Sponsor
- Hospital of the Ministry of Interior, Kielce, Poland
Allergic Rhinitis, Asthma
ClimAIr: AI to Assess the Impact of Pollution and Climate on Respiratory Health in Europe
The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools.
- Trial name
- ClimAIr (NCT07107009)
- Volunteers
- 1,906 people
- Sponsor
- Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud
Gingivitis
Artificial Intelligence for the Diagnosis of Gingivitis
this study aims to use AI to diagnose the stages of gingivitis
- Trial name
- NCT07727421
- Testing
- Artificial intelligence Diagnostic Model
- Where
- Egypt
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Brain Diseases
Multi-center Study of Artificial Intelligence Model for Gadolinium-based Contrast Agent Reduction in Brain MRI (MAGNET)
MAGNET is a multi-center and prospective study to minimize Gadolinium-based Contrast Agent (GBCA) combining novel artificial intelligence (AI) methods with pre-contrast images and/or low-dose images to synthesize virtual…
- Trial name
- MAGNET (NCT05754476)
- Testing
- Low-dose GBCA levels
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Beijing Tiantan Hospital
Bladder Cancer
The Application Value of Artificial Intelligence in MRI Precision Diagnosis and Treatment of Bladder Cancer
This study was a prospective, multicenter observational clinical study, A total of 150 patients with bladder malignant tumor who was admitted to the urology department of each center for treatment and underwent electric resection…
- Trial name
- NCT05096533
- Where
- China
- Volunteers
- 150 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
Brain Neoplasms
Dexmedetomidine and Intelligence Development in Pediatric Patients Undergoing Craniotomy
The purpose of this randomized, double-blind and placebo-controlled pilot study is to investigate whether dexmedetomidine when used as an adjuvant to general anesthesia can decrease the harmful effects of anesthesia and surgery…
- Trial name
- NCT02810899
- Testing
- dexmedetomidine, normal saline
- Where
- China
- Volunteers
- 60 people
- Sponsor
- Peking University First Hospital
Unilateral Cerebral Palsy
Validation of AI for Personalized Assessment and Rehabilitation of Upper Limb in Children With Unilateral Cerebral Palsy
Unilateral Cerebral palsy (UCP) is the most common neurological chronic disease in childhood with a significant burden on children, their families and health care system.
- Trial name
- AInCP (NCT06073522)
- Testing
- Artificial Intelligence for combining multi-domain data acquisition
- Where
- 2 sites in Italy, Spain
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- IRCCS Fondazione Stella Maris