Special issue: Artifical Intelligence in Precise Oncology
Extraordinary development of Artificial intelligences (AI) in algorithms, operational capacity, and digital data processing has greatly accelerated the application researches of novel AI technologies in multiple episodes of clinical practice in recent years. As the major burden of human being worldwide, cancer are still great challenges in screening, diagnosis, and individualized treatments. AI has brought great opportunities in the whole processes of cancer patient care. However, whether these innovations can benefit patient care and patient’s outcome in real-world clinical practice still need profound and careful evaluations, and it is essential to integrate data-driven and computer-based innovations in clinical practice to improve therapeutic outcomes of cancer patients. The special issue focuses on AI application in precise oncology, aiming to demonstrate the progresses of AI technologies and the associated applications in a broad array of cancer care, e.g., early detection, precise diagnosis, individualized treatments, and prognosis prediction.
- Machine learning based features extraction, modeling and validation on radiological or pathological images of cancers
- Outcomes of malignant cancer patients using radiomics, pathomics and molecular big data
- Prediction and individualization of chemotherapeutic responses with AI algorithms or model
- AI-omics guided radiotherapy
- Spatiotemporal longitudinal analysis in imaging follow-up of tumor
- Computer assisted detection (CAD) in cancer screening: methods and evaluations
Guest Editor: Tian, Jie, Institute of Automation，Chinese Academy of Sciences
Guest Editorial members:
Jian Wu: College of Computer Science and Technology, Zhejiang University
Zhigang Song: Department of Pathology, General Hospital of Liberty Army
Jun Xu: Nanjing University of Information Science and Technology
Yudong Zhang: Department of Radiology, Jiangsu Provincial People’s Hospital
Ning Wu: PET-CT Center, Cancer Hospital Chinese Academy of Medical Sciences
Lei Tang: Department of Radiology, Peking University Cancer Hospital
- Review: both narrative review or systematic review are welcome
- Original article: application, testing, or verification of algorithm, model or product of AI in clinical settings
- Perspectives/commentary: opinion or fresh insights on new advances in important topics.
- Data paper: description of a dataset which restored in a repository database and reusable by researchers.
2021 Vol 36 No. 3 Special issue
September 30, 2021 in print, online publication as per accepted
All submissions should be written in English with logical clarity.
Please refer to the Instruction for Authors for more information.
MEDTECH 2021 official website by June 15, 2021
The online submission system of Chin Med Sci J by June 30, 2021.
Editorial Office: Dongdan Santiao 9, Dongcheng District, Beijing, 100370 China
Special issue editor: Jie Li, M.D.
征稿函中文 Call for Paper in English