Graf B Xie Y, Farzam P

This conference will provide a forum for researchers involved in development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Original papers are requested on all novel CAD methods and applications, including both conventional and deep-learning approaches. CAD has found increasing medical applications since its inception a few decades ago and it continues to be a hot topic, especially with the proliferation of artificial intelligence (AI) in many aspects of daily life. Thus, the CAD conference is soliciting papers in the broad sense of CAD-AI, including topics also beyond detection and diagnosis with an emphasis on novel methods, applications, learning paradigms, -omics integration, and performance evaluation. A detailed list of topics can be found below. Applications in all medical imaging modalities are encouraged, including but not limited to X-ray, computed tomography, magnetic resonance imaging, nuclear medicine, molecular imaging, optical imaging, ultrasound, endoscopy, macroscopic and microscopic imaging, and multi-modality technologies.