Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55833, first published .
Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Journals

  1. Provenzano D, Wang J, Goyal S, Rao Y. Discussion of a Simple Method to Generate Descriptive Images Using Predictive ResNet Model Weights and Feature Maps for Recurrent Cervix Cancer. Tomography 2025;11(3):38 View
  2. Gutiérrez J, Delgado E, Breuer C, Conejero J, Rodriguez-Echeverria R. Prompt Once, Segment Everything: Leveraging SAM 2 Potential for Infinite Medical Image Segmentation with a Single Prompt. Algorithms 2025;18(4):227 View
  3. Mendez-Avila C, Torre S, Arce Y, Contreras P, Rios J, Raza N, Gonzalez H, Hernandez Y, Cabezas A, Lucero M, Ezquerra V, Malamateniou C, Solis-Barquero S. Artificial intelligence in radiology, nuclear medicine and radiotherapy: Perceptions, experiences and expectations from the medical radiation technologists in Central and South America. Journal of Medical Imaging and Radiation Sciences 2025;56(6):102081 View
  4. Ahmed M, Giordano S, Adami D. Performance Comparison of Embedded AI Solutions for Classification and Detection in Lung Disease Diagnosis. Applied Sciences 2025;15(17):9345 View
  5. Cortiana V, Kannan S, Vallabhaneni H, Gambill J, Nadar S, Jigar Kumar Rangrej V, Park C, Leyfman Y. Early and hereditary breast cancer: advances in risk stratification and imaging approaches. Therapeutic Advances in Medical Oncology 2025;17 View
  6. Robinson D, Barsoumian H, Nalin A, Verma V, Niedzielski J, Puebla-Osorio N, Hu Y, Kang M, Shah S, Phan J, Welsh J. Real World Guide for Delivering Immunotherapy with Radiotherapy. Practical Radiation Oncology 2025 View

Conference Proceedings

  1. Ursan M, Căleanu C, Bucos M. 2024 International Symposium on Electronics and Telecommunications (ISETC). An Architecture of a Web Application for Deploying Machine Learning Models in Healthcare Domain View