Artificial intelligence, advanced imaging, digital technologies, and computational methods are increasingly influencing cancer diagnosis, treatment planning, monitoring, and decision-making. This session explores the integration of these technologies across clinical oncology, pathology, radiology, research, and patient care.
Abstract Scope and Participation
Abstracts may address artificial intelligence, machine learning, cancer imaging, radiomics, digital pathology, predictive analytics, clinical decision support, digital health, remote monitoring, computational oncology, and big-data applications. Researchers, clinicians, radiologists, data scientists, engineers, and technology developers are encouraged to contribute.
Numerous cancer-related mechanisms are reported daily, yet a universal theory for eradicating all cancers remains elusive. Fortunately, recent advances in big data and AI have identified noncoding…
Sessions are CPD-accredited; certificates issued to every registered delegate within two weeks of the conference.
Oral and poster slots for original AI, Imaging & Digital Oncology work, reviewed by the scientific committee.
Meet oncologists, cancer researchers, and clinical specialists from around the world across three days.
Accepted abstracts appear in the indexed conference proceedings with a citable DOI.
Plenary lectures from leading voices shaping AI, Imaging & Digital Oncology research and practice.
Attend in person in Singapore or join virtually — same programme, same certificate.
Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.
The AI, Imaging & Digital Oncology track is a dedicated stream within CIOC 2027 covering the latest research, clinical innovation, and best practice in AI, Imaging & Digital Oncology. It brings together researchers, educators, and practitioners for oral presentations, posters, and discussion.
Cancer researchers and clinicians, educators and students with an interest in AI, Imaging & Digital Oncology are all welcome — whether presenting or attending.
Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.
Yes. CIOC 2027 is a hybrid conference — attend the AI, Imaging & Digital Oncology track in person in Singapore or join live online, with on-demand access afterward.
Singapore · March 15–17, 2027· Hybrid · in-person & virtual
Attend without presenting.
