Clinical trials: Anatomy
Data Collection
ScanNav Anatomy PNB Data Collection Study 2024
Study to gather additional data for AI-driven medical device, ScanNav Anatomy PNB.
- Trial name
- NCT06550349
- Testing
- N/A - non-interventional study
- Where
- United Kingdom
- Volunteers
- 77 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Hyperopia and Myopia
Eye Imaging for the Study of Childhood Myopia
Myopia (nearsightedness) is increasing worldwide and is becoming a serious public health problem. Studies estimate that by 2050, if no action is taken, almost half of the world's population will be myopic.
- Trial name
- SELENA (NCT07335146)
- Testing
- Ophtalmic measurements to estimate geometrical distances, MRI, Ophtalmic measurements to measure wavefront aberrations
- Where
- France
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Essilor International
The Focus of the Study is to Evaluate the Efficacy of OCT in Scanning and Reconstructing General Tooth and Gum Anatomy, Tooth Anatomy
Optical Coherence Tomography (OCT) Based Intraoral Scanner
The goal of this study is to optimize the matching between Optical Coherence Tomography (OCT) imaging and the true anatomy of the tooth.
- Conditions
- The Focus of the Study is to Evaluate the Efficacy of OCT in Scanning and Reconstructing General Tooth and Gum Anatomy, Tooth Anatomy, Gingival Anatomy
- Trial name
- NCT07092592
- Where
- United States
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Perceptive Technologies, Inc
Ultrasound Imaging of Anatomical Structures
A Study to Evaluate the Performance and Potential Benefits of an Assistive Artificial Intelligence Device ScanNav Anatomy Peripheral Nerve Block - US V1.0 for Ultrasound-guided Regional Anesthesia
This is a single-center, prospective study to be undertaken at University of Oregon, Portland, USA. The aim is to provide data on the clinical performance of ScanNav Anatomy PNB for identification of anatomical structures during…
- Trial name
- NCT04918693
- Testing
- Ultrasound scanning
- Where
- United States
- Volunteers
- 34 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Ultrasound Imaging of Anatomical Structures
A Volunteer Study to Collect Imaging Data for the Development and Validation of ScanNav Anatomy PNB
This is a single-centre, prospective, non-randomised volunteer study to be undertaken in Intelligent Ultrasound's offices at Hodge House, 114-116 St Mary Street, Cardiff, CF10 1DY, UK.
- Trial name
- NCT04830891
- Where
- United Kingdom
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Healthy, Epilepsy
Bridging Gaps in the Neuroimaging Puzzle: New Ways to Image Brain Anatomy and Function in Health and Disease Using Electroencephalography and 7 Tesla Magnetic Resonance Imaging
The human brain presents outstanding challenges to science and medicine. Brain function and structure span broad spatial scales (from single neurons to brain-wide networks) as well as temporal scales (from milliseconds to years).
- Conditions
- Healthy, Epilepsy, Psychosis, Essential Tremor
- Trial name
- NCT05769933
- Testing
- Simultaneous EEG-fMRI at 7 Tesla, Structural MRI at 7 Tesla
- Where
- Switzerland
- Volunteers
- 156 people, healthy volunteers welcome
- Sponsor
- CSEM Centre Suisse d'Electronique et de Microtechnique SA - Recherche et Developpement
Ultrasound Imaging of Anatomical Structures
An Evaluation of the Long-Term Impact of Assistive AI on Anaesthetists' Ultrasound Scanning for UGRA
A randomised, blinded interventional prospective study evaluating the long-term impact of assistive artificial intelligence on anaesthetists' ultrasound scanning for regional anaesthesia.
- Trial name
- NCT05583032
- Testing
- ScanNav Anatomy PNB
- Where
- United Kingdom
- Volunteers
- 58 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Ultrasound Imaging of Anatomical Structures, Nerve Block
Nerve and Plane Block Data Collection Study for the Development of Artificial Intelligence-assisted Software
The primary objective of this observational study is to acquire ultrasound images (raw data) from nerve and plane block regions to develop artificial intelligence-guided nerve block software (Nerveblox).
- Trial name
- NCT06375603
- Testing
- Ultrasound scans
- Where
- Turkey (Türkiye)
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Smart Alfa Teknoloji San. ve Tic. A.S.
Ultrasound Imaging
A Study to Assess the Accuracy of Artificial Intelligence for Ultrasound-guided Regional Anesthesia
The goal of this observational study is to assess the accuracy of Artificial Intelligence (AI) software to assist ultrasound scanning prior to peripheral nerve blocks.
- Trial name
- NCT05807737
- Testing
- Ultrasound scanning with artificial intelligence
- Where
- Turkey (Türkiye)
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Smart Alfa Teknoloji San. ve Tic. A.S.
Ultrasound Imaging of Anatomical Structures
A Volunteer Study to Collect Imaging Data for the Development of the Medaphor Anatomy Guide.
The aim of this study is to determine if machine learning can be used to automatically highlight key anatomy on the ultrasound image to help anaesthetists perform ultrasound-guided regional anaesthesia.
- Trial name
- NCT03654300
- Where
- United Kingdom
- Volunteers
- 103 people, healthy volunteers welcome
- Sponsor
- Medaphor Limited
Ultrasound Imaging of Anatomical Structures
A Volunteer Study to Collect Imaging Data for the Development of the IntelligentUltrasound Anatomy Guide
This is a single-centre, prospective, non-randomised volunteer study to be undertaken in the MediCentre, Heath Park, Cardiff, UK
- Trial name
- NCT04277169
- Where
- United Kingdom
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Ultrasound Imaging of Anatomical Structures, Musculoskeletal Diseases
Musculoskeletal System Ultrasound Examination Data Collection Study for the Development of an Artificial Intelligence Software
The primary objective of this observational study is to acquire ultrasound images (raw data) encompassing various planes within the musculoskeletal system.
- Trial name
- NCT06025279
- Testing
- Ultrasound Scan
- Where
- Turkey (Türkiye)
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Smart Alfa Teknoloji San. ve Tic. A.S.
Ultrasound Imaging of Anatomical Structures
A Study to Collect Imaging Data for the Validation of the Intelligent Ultrasound's ScanNav Anatomy Peripheral Nerve Block (PNB) - US v1.0
This is a single-center, prospective study to be undertaken at University of Oregon, Portland, USA. The aim is to evaluate the clinical performance of ScanNav Anatomy PNB when highlighting anatomical structures during UGRA…
- Trial name
- NCT04906018
- Testing
- Ultrasound scans
- Where
- United States
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Cholecystitis
SPY Fluorescence Imaging Systems and Indocyanine Green to Determine the Percentage of Successful Critical Anatomy Recognition in Laparoscopic Cholecystectomy Surgeries.
This is a prospective single arm, single center study estimating percentage of successful critical anatomy recognition in laparoscopic cholecystectomy surgeries using SPY fluorescence imaging and ICG, with each surgery also…
- Trial name
- NCT05006950
- Testing
- Stryker1688 Fluorescence imaging system
- Where
- United States
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Stryker Endoscopy
Cholecystitis, Cholelithiasis
Feasibility and Utility of Artificial Intelligence (AI) / Machine Learning (ML) - Driven Advanced Intraoperative Visualization and Identification of Critical Anatomic Structures and Procedural Phases in Laparoscopic Cholecystectomy
The goal of this study is to evaluate the utility and efficacy of an artificial intelligence (AI) model at identifying structures and phases of surgery compared to traditional white light assessment by trained surgeons.
- Conditions
- Cholecystitis, Cholelithiasis, Biliary Dyskinesia
- Trial name
- NCT05775133
- Testing
- ICG
- Where
- United States
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Activ Surgical
Ultrasound Imaging of Anatomical Structures
Validity of Experts and ScanNav Anatomy PNB When Identifying Sono-anatomical Structures for Ultrasound-Guided Regional Anaesthesia
This is a multi-centre, prospective, observational study, conducted under the auspices of the University of Oxford to evaluate ultrasound image analysis by human experts and an artificial intelligence device in the context of…
- Trial name
- NCT04983771
- Testing
- Annotate ultrasound scans
- Where
- United Kingdom
- Volunteers
- 19 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Data Collection
ScanNav Anatomy PNB Data Collection Study
Study to gather additional data for AI-driven medical device, ScanNav Anatomy PNB.
- Trial name
- NCT05992805
- Testing
- N/A - non-interventional study
- Where
- United Kingdom
- Volunteers
- 82 people, healthy volunteers welcome
- Sponsor
- IntelligentUltrasound Limited
Focus of the Study is the Anatomy of the Soft Palate, Non-invasive Ventilation
The Inflate Study; Defining the Soft Palate in the Upper Airway Flow Pathway
The goal of this clinical trial is to understand the impact of the size and shape of the soft palate on gas airflow in the upper airway in healthy volunteers.
- Trial name
- NCT06738589
- Testing
- non-invasive ventilation
- Where
- New Zealand
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Fisher and Paykel Healthcare
Spinal Cord Compression
Validation of AI Lumbar Spine Anatomy Measureing Function
Spinal degeneration and its associated clinical diseases are common ailments in aging societies. With the advent of a super-aging society, the importance of assistive technologies for spinal image interpretation is increasingly…
- Trial name
- Spinal cord (NCT06950411)
- Where
- Taiwan
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- RadiRad Co., Ltd.
Software Evaluation for Visualizing Anatomical Structures That Are Not Typically Identified on Clinical MR Images
Accuracy Evaluation for SIS Software-based Visualization of Anatomical Brain Structures
SIS has developed a software technology, based on machine learning and image processing, designed to enhance standard clinical images for the visualization of anatomical structures.
- Trial name
- NCT02902328
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Surgical Information Sciences Inc.