Artificial Intelligence in Ocular Oncology
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 2
Special Issue Editor
Interests: ocular oncology; perimetry; history of ophthalmology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
There are many kinds of ocular tumors, most of which are rare. Several are life threatening or associated with lethal syndromes. Diagnosis can be challenging because each tumor can show a wide variety of clinical manifestations. Multimodal imaging can be invaluable but only if the clinician has the skill to interpret the results correctly. Relevant information may be forgotten by the clinician, or out of date, or not easily found in the published literature. Artificial intelligence promises to help non-experts diagnose and manage patients with ocular tumors when support from an ocular oncologist is not possible. Where ocular oncology services are available, artificial intelligence may help avoid non-essential referrals, saving time and money both for patients and healthcare services. As with other technologies, clinicians must be aware of the limitations of artificial intelligence and the need to check its guidance by referring to peer-reviewed and authoritative texts. This Special Issue provides a forum for recent advances in artificial intelligence in ocular oncology.
Prof. Dr. Bertil E. Damato
Guest Editor
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Keywords
- ocular tumor
- eye cancer
- artificial intelligence
- ophthalmology
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