Press Archive • Page 2 of 11 • Open Source Imaging Consortium (OSIC)

Executive Director Elizabeth Estes, Melissa Leichter of Novo Nordisk, and Panna Sharma of Lantern Pharma Inc. discussed the potential of using AI and machine learning to treat rare diseases.

The Current State of Artificial Intelligence in Radiology: A Review of the Basic Concepts, Applications, and Challenges

4D-VQ-GAN: A World Model for Synthesizing Medical Scans at Any Time Point for Personalized Disease Progression Modeling of Idiopathic Pulmonary Fibrosis

Rare Disease Summit 2024

From Images to Clinical Insights: An Educational Review on Radiomics in Lung Diseases

Automated Diagnosis of Usual Interstitial Pneumonia on Chest CT via the Mean Curvature of Isophotes

Prognostic Model for Idiopathic Pulmonary Fibrosis Using Context-Aware Sequential-Parallel Hybrid Transformer and Enriched Clinical Information

Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks

ScreenDx, an artificial intelligence-based algorithm for the incidental detection of pulmonary fibrosis

RealDiffFusionNet: Neural Controlled Differential Equation Informed Multi-Head Attention Fusion Networks for Disease Progression Modeling Using Real-World Data

CT Quantification of Interstitial Lung Abnormality and Interstitial Lung Disease: From Technical Challenges to Future Direction

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