Dr Fred Ushakov
University College London Hospital & London School of Ultrasound
Dr Fred Ushakov, an expert in Fetal Medicine, Echocardiography and Neurosonography with over 30 years experience in ultrasound and international practice within the world leading institutions. In recent years Dr Ushakov serves as Fetal Medicine Specialist at University College London Hospital and Honorary Senior Research Associate at UCL Institute for Women’s Health (Maternal & Fetal Medicine).
The long term clinical and research interests involve development of Early Fetal Scan concept, a way for early detection of congenital anomalies. The current project comprises the development of a new approach to the early diagnosis of fetal conditions at 11-13 weeks of pregnancy, including congenital heart defects and spina bifida.
Dr Ushakov’s recent project was an establishment of the London School of Ultrasound (LSUS), the advanced education for medical professionals. The aim of the LSUS is to share the knowledge and experience in the Fetal Ultrasound and make ultrasound specialists feel more confident in Ultrasound Diagnosis and especially in Early Fetal Scan. LSUS training programs have already gained a major international interest among ultrasound specialists.
Dr Ushakov acts as an Ambassador of The International Society of Ultrasound in Obstetrics & Gynecology (ISUOG), as an ISUOG International Faculty Member promotes an Ultrasound Training around the world.
Spina bifida: Early diagnosis at 11-13 weeks of pregnancy
Open Spina Bifida (OSB) is very serious condition with significant potential for severe long-term disability and majority of the parents would choose termination of the pregnancy. Early diagnosis and proper counselling will significantly improve the perinatal care in affected pregnancies. We developed new marker for OSB: ‘crash’ sign reflecting posterior-caudal displacement and deformation of the mesencephalon against the occipital bone. The sign is observed on the axial view of the mesencephalon and it is easily identifiable on scans. The presentation will review the ‘crash’ sign and other proposed methods of early OSB diagnosis.
EVEN MORE SEMINARS
Xiaohong (Sharon) Gao Middlesex University
Application of deep learning techniques to medical images for early diagnosis
Mrs Simerjit Rai Sandwell & West Birmingham NHS Trust
Patient initiated follow-up and surveillance (story so far)
Robert Lauritzen Cerebriu
Why real-time machine learning on medical images during acquisition can make a difference
Dr Ai Lyn Tan NIHR Leeds Biomedical Research Centre, Chapel Allerton Hospital, and University of Leeds
How imaging has enhanced knowledge about rheumatic diseases
Rose Isaacs City, Sandwell & Walsall Breast Screening Service (CSWBSS)
Addressing the nationally declining breast screening uptake trend