Miao K

No ORCID on file · 5 papers in corpus · active 2022-2026

Study types

  • other 1

Condition tags

  • endometriosis 1
2026
Journal of imaging informatics in medicine ·doi:10.1007/s10278-025-01566-8

This study aimed to develop and validate a multimodal deep learning model that leverages 2D grayscale ultrasound (US) images alongside readily available clinical data to improve diagnostic performance for ovarian cancer (OC). A retrospectiv…

other 2024
European journal of obstetrics, gynecology, and reproductive biology ·doi:10.1016/j.ejogrb.2024.05.010

PURPOSE: The objective of this study was to develop a deep learning model, using the ConvNeXt algorithm, that can effectively differentiate between ovarian endometriosis cysts (OEC) and benign mucinous cystadenomas (MC) by analyzing ultraso…

2023
Frontiers in medicine ·doi:10.3389/fmed.2023.1284495

BackgroundBased on the ovarian-adnexal reporting and data system (O-RADS), we constructed a nomogram model to predict the malignancy potential of adnexal masses with sophisticated ultrasound morphology.MethodsIn a multicenter retrospective …

2022
The Journal of biological chemistry ·doi:10.1016/j.jbc.2021.101456

Well-orchestrated maternal-fetal cross talk occurs via secreted ligands, interacting receptors, and coupled intracellular pathways between the conceptus and endometrium and is essential for successful embryo implantation. However, previous …

2022
Frontiers in oncology ·doi:10.3389/fonc.2022.918331

ObjectiveThis study systematically evaluated the effectiveness and safety of therapeutic vaccines for precancerous cervical lesions, providing evidence for future research.MethodsWe systematically searched the literature in 10 databases fro…