Simon Williams

Neurosurgical Trainee | London | UCL WEISS Clinical Research Fellow in Neurosurgery, AI & Robotics | @QS_SimCentre Faculty

[Simon Williams @SimonWNeuro]

Proud to share our latest perspective piece in npj Digital Medicine. Building on our pituitary and aneurysm AI-assistance studies, we show how trust, expertise, and cognitive load shape whether AI actually helps surgeons. Accuracy alone isn’t enough.

https://t.co/vf0DTw3hNR

[Simon Williams @SimonWNeuro]

Privileged to speak in Madrid at the AI Surgery Conference on digital tools & AI in neurosurgery. Thanks to @AlfonsoLagares and @PauladTH for leading such a forward-thinking meeting. Great to share our work, collaborate, and explore such a beautiful city!

[Surgical Technology At Queen Square @TEQ_Neurosurg]

A huge (and long overdue) welcome to Mr Anand Pandit @anandpandit00 here on the TeQ channels - we'll be bringing you insights into Anand's extensive work on AI in neurosurgery through a series of mini-interviews 🧠 #neurosurgery #ai @QSNeurosurgery

[Simon Williams @SimonWNeuro]

Full article here: https://t.co/rUrjbGPXyM

A huge thanks to all involved, including our awesome ML team at @WEISS_UCL @AdritoDas @SophiaBano @DanStoyanov @hani_marcus @PatrickGrover4 @dzkhan94 @hugo_lh

[Simon Williams @SimonWNeuro]

🚨 Delighted to announce our group's latest publication.

We developed an AI model to automatically recognise operative workflows in retrosigmoid vestibular schwannoma resections.

Here’s what we did and why it matters. 🧵

https://t.co/rUrjbGPXyM

[Simon Williams @SimonWNeuro]

8️⃣ What’s next? --> clinical translation! 🤞

Potential applications for our model include surgical training, intra-op guidance & validation systems.

As ever, in rare ops like VS resection, collaboration is essential to overcome low case volumes & boost model generalisability.

[Tobias Adams @tobiasjadams]

🧠 Calling All Neurosurgeons! 🧠

@TEQ_Neurosurg need your expertise! Help shape the future of AI in surgery by sharing your feedback on an AI-powered anatomy recognition system for endoscopic transsphenoidal surgery.

⏱️ Takes just 15 minutes
📝 Option to be recognized as a collaborator author under the “CARES Evaluation Group”
💡 Your feedback will help ensure the AI tool design is aligned surgeons’ needs

Eligibility:
✔️ Must be a neurosurgeon (including fellows & residents) with at least 1 year of experience in endoscopic transsphenoidal surgery
✔️ Must be fluent in English

🔗https://t.co/66KPJM6bdB

Thank you for your collaboration!

#Neurosurgery #AI #SurgicalInnovation #EndoscopicSurgery #ArtificialIntelligence #AugmentedReality

[Queen Square Neurosurgery Review Course @QSReview]

QS Neurosurgery Review Course - 19th-23rd May!

One week to go! Early bird prices end 28th Feb!
Register here: https://t.co/TFAI4t5wK5

[Queen Square Neurosurgery Review Course @QSReview]

Queen Square Neurosurgery Review Course in May - Early bird prices end 28th February 2025! Secure your place now! https://t.co/1mcWXEEwDM

[Simon Williams @SimonWNeuro]

What a truly incredible experience at the @BANAUK conference in Cambridge today. Patients, surgeons, and all manner of experts coming together with one goal - improving the lives of vestibular schwannoma patients.

[Anand Pandit @anandpandit00]

Pleased to announce our round I call for student and clinical research associates to the QS Gamma Knife Research Group 🧠☢️

Projects in vestibular schwannoma, meningioma and neurovascular

https://t.co/uk2ylDTJhr to apply

@Sidsinha92 @SimonWNeuro @hani_marcus @PatrickGrover4

[Hani J Marcus @hani_marcus]

Our fantastic research fellow, @starupjoachim, discussing our digital surgery research.

[Hani J Marcus @hani_marcus]

In 1978, a Harvard study revealed a surprising truth: most doctors couldn’t answer a simple medical statistics question. Fast forward nearly 50 years, and the results are almost identical. Why? It’s not a failure of medical education but rather our brain's evolution over millennia.

Our latest paper shows how AI can assist. With AI, correct answers jumped from 17% to 83%. This approach could help clinicians make better decisions. #AI #DigitalHealth

Well done to @avaletopoulou who led this work as an FY2 during her SFP in @TEQ_Neurosurg!