Intelligent Oncology (ISSN: 2950-2616, pISSN: 2097-7131, CN: 50-1240/R73) is proud to announce the publication of its Volume 2, Issue 1 (2026) , now available online. This latest issue brings together interdisciplinary research at the intersection of artificial intelligence and oncology, offering fresh insights from clinical practitioners, data scientists, and translational researchers.
Despite being released in January, the issue remains fully accessible and continues to provide valuable resources for the global oncology and AI communities. All papers are freely available via ScienceDirect in line with the journal’s commitment to open science.
Highlights from This Issue
This issue features a diverse range of topics, including:
AI in Oncology through a Clinician’s Lens – An expert interpretation of artificial intelligence applications in oncology from the perspective of clinical physicians.
Predicting Neoadjuvant Therapy Response in Rectal Cancer – Development of a predictive model combining radiomics and tumor markers.
LLMs vs. Human Physicians – A comparative study of clinical decision-making in complex lung cancer cases between large language models and human doctors.
Novel Breast Cancer Subtypes via Multi-Omics – Integration of multi-omics data to identify distinct molecular and clinical subtypes of breast cancer.
Multimodal Imaging AI in Breast Cancer – A systematic review of AI applications in multimodal medical imaging for breast cancer diagnosis.
Challenges and Prospects in the Era of Large Models – A forward-looking perspective on intelligent oncology in the age of large AI models.
Early Cancer Detection – Combining multi-omics liquid biopsy with AI for early cancer screening.
Open Access for All
Intelligent Oncology ensures that all articles are freely available to readers worldwide. You can explore the full issue via the following links:
Read on ScienceDirect:
https://www.sciencedirect.com/journal/intelligent-oncology/vol/2/issue/1
Direct links:
https://linktr.ee/intelligentoncology#531731155
Media Contact:
LinkedIn: @IntelligentOncology
X: @IntelligentOnco
Facebook: @intelligentoncology
Email Address: editorialoffice@intelligent-oncology.net
Website: https://www.sciencedirect.com/journal/intelligent-oncology
