Computer-Aided Diagnosis

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 and it continues to be a hot topic, especially with the increasing use of artificial intelligence (AI) in medical imaging. The CAD conference solicits papers in the broad sense of CAD-AI, including topics that extend beyond detection and diagnosis: novel methods, applications, learning paradigms, -omics integration, and performance evaluation. An indicative 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.

Joint session on clinical AI
We are calling for papers on complementarity studies between CAD-AI and humans, retrospective studies comparing CAD-AI output to original clinical decisions, reader studies, and studies of CAD-AI in clinical practice including novel methods for CAD-AI monitoring, CAD-AI solutions for limited-resource environments, and CAD-AI applications in under-represented populations, for a joint session with the conference on image perception. To be considered for this joint session, select Clinical AI as one of your topics in the topics selection step of the abstract submission process (it is the third-listed methodology topic).

Symposium-wide live demo workshop
A workshop featuring real-time demonstrations of algorithms and systems will be held during the conference. This workshop is intended to provide a forum for developers to exhibit their software and methods, to find new collaborators, and inspire attendees. Participants attending the SPIE Medical Imaging Symposium are invited to submit a proposal for a demonstration; this is independent from the abstract submission process for the conference. Information on how to apply will be provided at a later date.

Topic areas for this conference
During submission you will be asked to choose relevant topics to assist in the review process. Please choose up to two methodology topics from this list:

• AI (deep learning/machine learning/novel methods)
• classification
• clinical AI
• comparison and/or fusion
• content-based image retrieval, reference libraries
• data harmonization
• detection
• imaging biomarkers
• performance evaluation
• precision medicine
• prognosis, outcome prediction
• quantitative imaging
• radiomics, radiogenomics, multi-omics
• risk assessment
• segmentation
• staging, treatment response monitoring
• quality assurance (QA) of AI
• triage, clinical workflow.

Please also choose one application topic from this list:

• abdomen
• breast
• cardiovascular
• COVID-19
• eye
• head and neck
• health disparity
• lung
• musculoskeletal
• multiple organ systems
• neurology
• novel applications
• pediatrics, fetal
• skin
• other (please specify).