My new textbook "Artificial Intelligence in Urology" is now out in print. Available on Amazon and Elsevier Bookstore. First book of its kind!
A sample of the content and senior authors:
💡Definitions - Andrew J Hung
💡Prostate cancer x Radiomics - Vip Patel
💡Prostate cancer x Genomics - Jim Hu
💡Kidney cancer x Radiomics - Chris Weight
💡Bladder cancer x Pathomics - Joe Liao
💡Testes/Penile/Urethra ca - Hooman Djaladat
💡Kidney stone - Nick Kavoussi
💡Pediatic Urology - Mohan Gundeti
💡Multiomics - Dan Theodorescu
💡Surgical AI - Prokar Dasgupta
💡Autonomous surgery - Axel Krieger
💡Reproductive medicine - Ryan Flanigan
Truly a collaborative effort and amazing coverage of the field of urology.
Another original work from our group, this time taking surgical gestures to the next level. We know that gestures - the moment-to-moment decisions a surgeon makes to complete as task - can help us predict surgical outcomes. But the process of annotating gestures manually takes forever.
Introducing "End to end AI system for surgical gesture sequence recognition and clinical outcome prediction" now published in @npjDigitalMed
Open access: https://t.co/kWzHJ9MMBY
Our pipeline to take raw surgical videos to then predict frame by frame gestures, and then predict patient outcomes 12 months after surgery.
This is a decade of work - funded through @theNCI and in partnership with @alvincgoh@MSKCancerCenter, @geoffsonn@StanfordUrology , and Christian Wagner @UrologyGronau. Led by Xi Li at @CedarsSinai Department of Computational Biomedicine.
21 months after being paralysed, multiple spinal operations, 8 months in hospital, 1000 hours of rehab, back working as a surgeon in the NHS. Never give up and keep smiling! #backtowork@uhbtrust@BAUS@SIA#spinalcordinjury#nhs
I am in London for a variety of functions this week, but of greatest personal significance is to honor my friend and mentor @prokarurol.
Prokar taught me that single individuals can impact whole careers of others.
@AmerUrological@Uroweb
Go Team USA! Excited that Cedars-Sinai is an official partner of Team USA and LA28! Our lab also had a chance to meet with the team’s research unit and brainstorm ways to support our amazing athletes.
Until now, physicians using AI in clinic had to assemble the patient’s context themselves. Allergies, comorbidities, medications, prior procedures, copy-pasted in from the chart.
Today we’re announcing a partnership with @CedarsSinai. OpenEvidence now works directly inside Epic, drawing on the patient’s full record and interpreting the medical literature through the lens of that specific patient.
Cedars-Sinai is the first academic health system to deploy patient-aware clinical intelligence at enterprise scale. The clinician asks a complex question in natural language. The answer reflects both the best available evidence and the patient in front of them.
Patient data is never stored after the clinical session or used for any other purpose.
@BAUSurology Excited to be back in London - especially for me to celebrate my mentor and friend @prokarurol who has retired this year after decades of trailblazing and innovation in urology and surgery.
🥼What does the future of AI in urology look like?
Join Dr @AjhungMD at #BAUS26 as he shares his vision in ‘Future Applications of AI in Urology’.
A global leader in surgical data science - don’t miss this insight into the future.
Secure your tickets 👉https://t.co/Eouqvlar2A