App Commons
Explore 198 global research projects ready to move from bench to bedside—137 focused on adults and 61 on pediatrics, spanning 21 clinical disciplines across 19 modalities.
Pediatric CHD Detection
A deep learning-based method for pediatric congenital heart disease detection with seven standard views in echocardiography
Pediatric Echocardiogram Classification
An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence
EchoNet-Peds
Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients
Rib Fracture Diagnosis
Rib fracture diagnosis in suspected abuse: Computed tomography or radiographs (RECEPTOR)? A multicentre diagnostic accuracy observational study
nnU-Net for CT Segmentation
Automated segmentation and volume prediction in pediatric Wilms’ tumor CT using nnu-net
Neuroblastoma Risk Stratification
Development of intelligent tools to predict neuroblastoma risk stratification and overall prognosis based on multiphase enhanced CT and clinical features
YOLOv8-IE
A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques
MobileNet for ALL Detection
A reliable approach for identifying acute lymphoblastic leukemia (ALL) in microscopic imaging
ALL Detection
Deep learning model for early acute lymphoblastic leukemia (ALL) detection using microscopic images
Pediatric Brain Tumor MRI Segmentation
AI-powered segmentation and prognosis with missing MRI in pediatric brain tumors
BraTS-PEDs
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
Fetal Cardiac Biometrics
Improving Prenatal Detection of Congenital Heart Disease With a Scalable Composite Analysis of 6 Fetal Cardiac Ultrasound Biometrics
Neural Ensemble CHD Detection
An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease
Enhancing Breast Cancer Classification
Enhancing Breast Cancer Classification in Histopathological Images through Federated Learning Framework
Detection of IC-NST
Federated Learning-Based Detection of Invasive Carcinoma of No Special Type with Histopathological Images
DeepPATH
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
Pediatric Right Ventricular Assessment
AI learning for pediatric right ventricular assessment: development and validation across multiple centers
Prenatal CHD Screening
Deep learning model for prenatal congenital heart disease (CHD) screening generalizes to the community setting and outperforms clinical detection
AI-ECG Prediction of Biventricular Dysfunction
Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
Pediatric MS Detection
Multimodal Machine Learning for Diagnosis of Multiple Sclerosis Using Optical Coherence Tomography in Pediatric Cases
MS Disability Progression Prediction
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data
EEGNetv4
Privacy-preserving dementia classification from EEG via hybrid-fusion EEGNetv4 and federated learning
Left Ventricular Dysfunction Prediction
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling
Hepatic Steatosis Detection
Chest Radiograph–based Deep Learning Model for Detecting Hepatic Steatosis
Parkinson’s Disease Detection
Accurate early detection of Parkinson’s disease from SPECT imaging through Convolutional Neural Networks
Focal Cortical Dysplasia Detection
Automated Whole-Brain Focal Cortical Dysplasia Detection Using MR Fingerprinting With Deep Learning
Temporal Glioma Prediction
Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning
Map18
External validation of automated focal cortical dysplasia detection using morphometric analysis
Cerebral Palsy Hip Measurement
Automating radiological measurements of the hip in children with cerebral palsy
Pediatric Fracture Detection
Artificial intelligence for paediatric fracture detection: a multireader multicase (MRMC) study protocol
Superficial White Matter Integrity in Early Multiple Sclerosis
Machine learning to investigate superficial white matter integrity in early multiple sclerosis
Automatic Identification of Multiple Sclerosis
AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans
Prediction of Disease Severity in Multiple Sclerosis
Predicting disease severity in multiple sclerosis using multimodal data and machine learning
Prediction of Disease Progression in Multiple Sclerosis
Prediction of disease progression and outcomes in multiple sclerosis with machine learning
Predicting Enhancing Lesions in Multiple Sclerosis
Deep learning for predicting enhancing lesions in multiple sclerosis from noncontrast MRI
Estimating Gestational Age
Deep learning to estimate gestational age from blind ultrasound sweeps of the gravid abdomen
Breast Cancer Detection
Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer
Thoracic Disease Classification
Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images
Interstitial Lung Disease Diagnosis
Artificial neural network to distinguish between various interstitial lung diseases
Brain Disorder Detection
Multi class disorder detection of magnetic resonance brain images using composite features and neural network
Pulmonary Embolism Detection
Computer-aided detection of Pulmonary Embolism in 3D CT pulmonary angiography images
Chest Nodule Detection
AI-based CAD software to improve the detection rate of actionable lung nodules on chest radiographs
Esophageal Cancer Detection
A deep learning pipeline to aid clinicians in identifying early-stage, high-risk esophageal lesions
Detection of Helicobacter Pylori Infection
AI for the prediction of Helicobacter Pylori infection in endoscopic images
Quantification of Left Ventricular Ejection Fraction
Deep Learning–Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction
Measurements of Left Ventricular Volumes and Ejection Fraction
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence
Fetal Congenital Heart Disease Detection
Deep-learning model for prenatal congenital heart disease screening
Detection of Ruptures within UIA’s
Predicts the likelihood of rupture in unruptured intracranial aneurysms (UIAs)
Dental AI Education
Overjet builds AI supported dental education to detect pathologies within patients.
CINA-iPE
CE-marked AI tool that analyzes images from CT scans for the presence of incidental pulmonary embolism
Dementia Detection from MRI
Detection of Dementia from MRI using DCGAN-based Augmentation and Classification (D-BAC)
Glioma Local Recurrence
Predicts local recurrence in grade 4 adult-type diffuse gliomas patients using deep learning model
Gastric Cancer Invasion Depth
AI system for real-time endoscopic prediction of invasion depth in early gastric cancer
Multi-centre Epilepsy Lesion Detection
Interpretable surface-based detection of focal cortical dysplasias
Measurement of Hallux Valgus
AI–based automatic measurement for the M1-M2 intermetatarsal angle (IMA) in hallux valgus (HV)
ART-Plan
AI-power software providing automatic delineation of OARs and lymph nodes with efficiency and high accuracy
AutoSCORE
A machine learning–based automatic clinical score generator consisting of 6 modules for developing interpretable point-based scores
Pulmonary Tuberculosis
Classify chest x-ray images as having manifestations of pulmonary TB or as healthy.
Detection of Regional Wall Motion Abnormalities
Echocardiographic Detection of Regional Wall Motion Abnormalities Using Artificial Intelligence
Acute Lymphoblastic Leukemia Classification
Intelligent decision support system with evolutionary feature optimization for robust ALL classification
SMORE
Anti-aliasing and super-resolution on these types of acquisitions using no external atlas or exemplars
Prenatal Congenital Heart Disease Screening
Deep-learning model for prenatal congenital heart disease screening
Pulmonary Hypertension Detection
Prediction and early detection of pulmonary hypertension using electrocardiography (ECG)
Intracranial Hemorrhage Detection
Detection of intracranial hemorrhage (ICH) on non-contrast computed tomography (CT) scans
Early Barrett’s Neoplasia Detection
Detection of early Barrett’s neoplasia using volumetric laser endomicroscopy
Colorectal Tumor Classification
Computer-aided colorectal tumor classification in NBI endoscopy using local features
Detection of Polycystic Ovary Syndrome
Deep learning algorithm for detecting Polycistic Ovary Syndrome
Cardiac Volumes and Coronary Calcium Predicting Mortality
Automatically quantify cardiac chamber volumes
Detection of Hypertrophic Cardiomyopathy
ML framework that incorporates speckle-training echocardiographic data
Prediction of Axillary Lymph Node Status
Deep learning prediction of axillary lymph node status using ultrasound images
Cancer Detection with wbMRI
Whole-body MRI-based machine learning tool to detect early-onset cancers among children