PhD student at CAMES and Slagelse Hospital
Specialty: Obstetrics & Gynaecology
No. of Publications: 2
Keywords: Artificial Intelligence; Ultrasound; Growth Scan
Zahra Bashir focuses on developing, testing and implanting an artificial intelligence (AI) solution that can recognize standard planes from 3rd trimester growth scans and cervical scans. The purpose is to increase diagnostic accuracy thereby improving prenatal care.
She aims to develop an AI model that can perform automatic quality assurance of real-time ultrasound scans with feedback to the clinicians in order to improve the scans.
Bostanci, N., Krog, M.C., Hugerth, L.W., Bashir, Z., Fransson, E., Boulund, F., Belibasakis, G.N., Wannerberger, K., Engstrand, L., Nielsen, H.S., Schuppe-Koistinen, I., 2021. Dysbiosis of the Human Oral Microbiome During the Menstrual Cycle and Vulnerability to the External Exposures of Smoking and Dietary Sugar. Front. Cell. Infect. Microbiol. 11, 1–14.
Hugerth, L.W., Pereira, M., Zha, Y., Seifert, M., Kaldhusdal, V., Boulund, F., Krog, M.C., Bashir, Z., Hamsten, M., Fransson, E., Nielsen, H.S., Schuppe-Koistinen, I., Engstrand, L., 2020. Erratum for Hugerth et al., “Assessment of In Vitro and In Silico Protocols for Sequence-Based Characterization of the Human Vaginal Microbiome" . mSphere 5, e01253-20.
PhD Supervisors at CAMES