Lior Drukker

SlowflowHD Doppler is a useful imaging modality in Obstetrics. Ever wondered about it? In this open access paper we explain it & assess real world safety - showing thermal index values well within limits in all scans. @ldrukker @GEHealthcare @Ox_wrh umbjournal.org/article/S0301-…

Proud to present my Editorial on real-time automatic identification of fetal anomalies obgyn.onlinelibrary.wiley.com/doi/10.1002/uo…

Nice talk! From prediction to cardiovascular changes in adulthood #FGR @FatimaCrispi @ldrukker @HyettJon, Dr. Baschat @ISUOG #isuog2021

Cutting-edge session on pushing the ultrasound barrier: #ArtificialIntelligence is here to stay ;) #AI #MachineLearning #unsupervised #supervised #LoveUltrasound #isuog2021 @ISUOG

We are ready for our session on real clinical advances through #Artificialintelligence: How can artificial intelligence improve efficiency and diagnostic ability in obstetrics? Join us in auditorium 1 to learn about the latest in AI and your practice. #obgyn #ISUOG2021 @ldrukker

Registration fees are reduced to under $50 / £35 for low income countries @ISUOG World Congress kicking off on Friday - three day program covering all aspects of the use of ultrasound in obstetrics and gynaecology isuog.org/events/world-c…

Join us now for our free webinar series and hear from Dr. Lior Drukker @ldrukker discuss the basic concepts of Artificial Intelligence in ultrasound in obstetrics and gynecology! bit.ly/3lAG2eW

Hear @ldrukker, co-chair of free webinar on Saturday on AI and #obgyn ultrasound, on topics covered in the webinar, including the basics of AI, what AI can do in gynecological pathology, recognising CNS anomalies, and obstetrics quality assurance. Join us: bit.ly/3lAG2eW

Tune in to our NGen Facebook Live event on 10 September to get to know our NGen comittee with @SasoGynaecology @ldrukker @RolnikDaniel @JezidMiranda @Paz_A_D click on the link to attend: fb.me/e/2JI6QIo4V #ISUOG2021 #event #facebook

Tune in to our NGen Facebook Live event on the 10th of September to get to know NGen and World congress 2021. Click on the link to attend: fb.me/e/2JI6QIo4V #ISUOG2021 #event #facebook

Join us for our next webinar to learn about the role of artificial intelligence in ultrasound. The 2-hour long webinar on Saturday 25 September 2021 and will feature an international panel of experts in ultrasound. @FetalUltrasound @ldrukker #ISUOG #LoveUltrasound

I'm proud to co-host this upcoming @ISUOG Webinar: Is #AI the future of #ultrasound in Obstetrics and Gynecology? Free registration now open isuog.org/event/isuog-we…

Lots of emphasis of trainees, education and learning. Look out for Next Generation events and speakers and get in touch to find out more #nextgeneration @MathewLeonardi @MayaAlmemar @tejalamin1 @JezidMiranda @Paz_A_D @ldrukker @Raigam_Martinez @RolnikDaniel @AndreaDallAsta2

It’s that time of the year again - the brilliant @ISUOG Congress is approaching. Less than one week remaining until the end of Early Bird registration. Discounts available! Confirmed #gyn topics: Endo, Oncology, Ovarian masses & whole new AI section bit.ly/3xwgBPB

Congrats to @ldrukker (Papageorghiou group). His new paper in @SpringerNature and @SciReports considers obstetric ultrasound as data science: assessing sonographer gaze patters, voice & transducer motion in routine ultrasound scanning. Read more here➡️rdcu.be/cnYw3

@FetalUltrasound @SpringerNature @SciReports @NobleLabOxford @ichbinharshita Being the best source for medical AI innovation news, you may find this also interesting @EricTopol

Can we understand OB ultrasound as data science? In our latest paper with @SpringerNature in @SciReports we measure eye tracking, voice recording and transducer motion during routine scanning. Read it here: rdcu.be/cnYw3 @ldrukker @NobleLabOxford @ichbinharshita

link.springer.com/chapter/10.100… Another great achievement of the @NobleLabOxford @FetalUltrasound @AlisonNoble_OU

Really important for trainees and lots of useful knowledge. Do not ignore it, a perfect course for the ‘next-generation’. @tejalamin1 @MayaAlmemar @MathewLeonardi @AndreaDallAsta2 @ldrukker @maryacdaMD @Raigam_Martinez @RolnikDaniel @JezidMiranda @Paz_A_D

Machine Learning-based Analysis of Operator Pupillary Response to Assess Cognitive Workload in Clinical Ultrasound Imaging sciencedirect.com/science/articl… Now online with @ichbinharshita @FetalUltrasound @AlisonNoble_OU and the @NobleLabOxford