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INDEXING/ABSTRACTING
MEMBERSHIP
- Artificial Intelligence in Cancer
- Artificial Intelligence in Gastroenterology
- Artificial Intelligence in Gastrointestinal Endoscopy
- Artificial Intelligence in Medical Imaging
- World Journal of Anesthesiology
- World Journal of Biological Chemistry
- World Journal of Cardiology
- World Journal of Clinical Cases
- World Journal of Clinical Infectious Diseases
- World Journal of Clinical Oncology
- World Journal of Clinical Pediatrics
- World Journal of Clinical Urology
- World Journal of Critical Care Medicine
- World Journal of Dermatology
- World Journal of Diabetes
- World Journal of Experimental Medicine
- World Journal of Gastroenterology
- World Journal of Gastrointestinal Endoscopy
- World Journal of Gastrointestinal Oncology
- World Journal of Gastrointestinal Pathophysiology
- World Journal of Gastrointestinal Pharmacology and Therapeutics
- World Journal of Gastrointestinal Surgery
- World Journal of Hematology
- World Journal of Hepatology
- World Journal of Hypertension
- World Journal of Immunology
- World Journal of Medical Genetics
- World Journal of Meta-Analysis
- World Journal of Methodology
- World Journal of Nephrology
- World Journal of Neurology
- World Journal of Obstetrics and Gynecology
- World Journal of Ophthalmology
- World Journal of Orthopedics
- World Journal of Otorhinolaryngology
- World Journal of Pharmacology
- World Journal of Psychiatry
- World Journal of Radiology
- World Journal of Respirology
- World Journal of Rheumatology
- World Journal of Stem Cells
- World Journal of Stomatology
- World Journal of Surgical Procedures
- World Journal of Translational Medicine
- World Journal of Transplantation
- World Journal of Virology
- 世界华人消化杂志
Editorial Board
Dr. Valeria Romeo is an expert in the field of Radiology and a Researcher at the Department of Advanced Biomedical Sciences of the University of Naples “Federico II”, in Naples, Italy. She performs her clinical activity in the field of Breast and Body Imaging. Her main research activities are focused on the application of artificial intelligence techniques to ultrasound, CT and MRI images, specifically in the field of oncologic imaging (e.g. prediction of biological tumor features in head and neck, breast, prostate cancer and differential diagnosis of adrenal lesions) and for the prediction of placenta accreta spectrum in patients with placenta previa. She is also involved in clinical trials for assessment of the response to treatment in oncologic patients and conducts research projects on the use of simultaneous PET/MRI in breast cancer patients.