Special Issue Title:

AI, Gynecological Cancer Prevention and Disease Burden

Deadline for manuscript submissions: 31 December 2023

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Special Issue Editor

  • Guest Editor

    Prof. Aimin YangE-MailWebsite

    College of Science, North China University of Science and Technology, China

    Interests: Medical Big Data; Intelligent Medical Model; Auxiliary Diagnosis and Treatment System Research; Mathematical Modeling of Metallurgical Problems; Intelligent Smelting

  • Guest Editor

    Prof. Ling XueE-MailWebsite

    School of Public Health, North China University of Science and Technology, China

    Interests: Medical Big Data Mining and Analysis; Smart Healthcare; Public Health and Preventive Medicine; Prevention and Treatment of Gynecological Tumors; Disease Burden

  • Guest Editor

    Prof. Cunxu PengE-MailWebsite

    Jining Medical College-Clinical College-Department of Obstetrics and Gynecology, China

    Interests: Gynecologic Oncology and Gynecologic Stem Cell Therapy

Special Issue Information

Dear Colleagues,


Since the 20th century, cancer has become one of the major diseases that threaten the health of Chinese residents, among which gynecological tumor is a malignant tumor with high clinical morbidity and mortality, and easy postoperative recurrence. The pathogenesis of gynecological tumors is complex and the potential risk factors are difficult to control, which makes the prevention of gynecological tumors difficult. Traditional gynecological tumor diagnosis methods: using cell morphology and histopathology, but usually cannot meet the clinical requirements of early diagnosis and early treatment. In the era of economic globalization and the gradual popularization of artificial intelligence around the world, the combination of medical science and engineering is very necessary. The medical industry is developing towards more accurate prevention and diagnosis based on big data, cloud computing and artificial intelligence.


This special issue will mainly receive artificial intelligence, big data methods, computing methods, and the application of intelligent models in gynecological tumors, followed by gynecological tumor prevention and disease burden content, mainly manuscripts in the direction of medical-engineering integration, followed by gynecological tumors and diseases Manuscripts that have made outstanding contributions in the field of burden will be accepted and integrated for the manuscripts on the theme of this special issue, so as to contribute to the rehabilitation treatment and prevention of gynecological cancer patients. This special issue will provide a reference for the research of researchers, and at the same time provide an effective auxiliary reference for medical staff in the treatment of gynecological tumor patients.


This special issue welcomes contributions from relevant medical personnel, gynecological oncology researchers, artificial intelligence researchers, etc. This special issue can accept papers combining medicine and engineering, but the topic is limited to the scope of gynecological oncology. It is hoped that researchers and medical staff can contribute to this special issue Contribute to the further diagnosis and treatment of gynecological tumors and the rehabilitation of patients.


Prof. Aimin Yang, Prof. Ling Xue and Prof. Cunxu Peng

Guest Editors

Keywords

Intelligent Diagnosis; Gynecological Tumor Prevention; Gynecological Oncology Treatment; Burden of Disease; AI-Assisted Therapy

Manuscript Submission Information

Manuscripts should be submitted online by submit system. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Original articles, case reports or comprehensive reviews are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. European Journal of Gynaecological Oncology is an international peer-reviewed open access journal published by MRE Press. Please visit the Instructions for Authors page before submitting a manuscript.The Article Processing Charge (APC) for publication in this open access journal is $1200. We normally offer a discount greater than 30% to all contributors invited by the Editor-in-Chief, Guest Editor (GE) and Editorial board member. Submitted papers should be well formatted and use good English.

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