TeQ Projects
The TeQ Group runs several research projects with long-term visions of impact.
Digital Surgery Stream
Projects in our Digital Surgery stream aim to utilise AI to enhance clinician decision-making and robotics to assist procedural execution.
Panda Surgical Ltd
Panda Surgical Limited is a TeQ spinout company that aims to increase the efficacy and safety of minimally invasive neurosurgery. Offering increased dexterity and decision-making support, the handheld robot aims to advance the scope of minimally-invasive endoscopic neurosurgery.
Leads: Emmanouil Dimitrakakis, Danail Stoyanov, Hani Marcus, John Hanrahan, Joachim Starup-Hansen.
PITVIS
The Pituitary Vision Challenge (PitVis), was a challenge run by TeQ, where participants across the globe competed on creating the best artificial intelligence (AI) models to aid surgeons during endoscopic pituitary surgery based on video data.
Leads: Adrito Das, Danyal Khan, Sophia Bano, Danail Stoyanov, Hani Marcus
AID PITSURG
Using the latest artificial intelligence (AI) models to aid surgeons during endoscopic pituitary surgery based on video data, including: automatically determining the surgical step the surgeon is currently performing, automatically detecting the surgical instrument the surgeon is using, and identifying critical parts of the anatomy.
Leads: Adrito Das, Danyal Khan, Sophia Bano, Danail Stoyanov, Hani Marcus
CARES
Context Aware Augmented Reality Endoscopic Surgery (CARES) is a collaboration between neurosurgeons; machine learning scientists; and human factor researchers, working together to create the best solutions on how to aid surgeons with augmented reality assistance in endoscopic pituitary surgery.
Leads: Hani Marcus, Sophia Bano, Ann Blandford, Danail Stoyanov, Matt Clarkson
PITCOP
PITCOP is the first-ever international consensus study focusing on establishing the top research priorities for pituitary surgery (PSP) and developing a standardised research dataset (COS) to improve pituitary surgery research. it involves all major international pituitary units.
Leads: Hani Marcus, Danyal Khan, Nicola Newall, Alexandra Valetopoulou
PROMESS
Patient Reported Outcomes in Endoscopic Skull base Surgery (PROMESS) is a UK-multicenter prospective observational study which aims to validate a patient-centred outcome score for anterior skullbase surgery (Pituitary Outcome Score).
Leads: Hani Marcus, Danyal Khan, John Hanrahan, Joachim Starup-Hansen
Surgical Training Stream
Projects in our Surgical Training stream aim to utilise simulators to rehearse surgery and information from videos and sensorised models to provide benchmarking and feedback.
Validation Series of Surgical Simulators
A series of validation studies on neurosurgical and spinal surgical simulators.
Leads: Hani Marcus, Austin Koh, James Brooker
Surgical Simulations on Learning Curve of Endoscopic Spine Surgery
This project aims to quantify the changes in learning curve of a surgical procedure with high-volume simulation training.
Leads: Hani Marcus, Austin Koh, George Prezerakos
Neurotechnology Stream
Projects in our Neurotechnology stream aim to utilise novel technologies to directly interface with the brain to better understand neurobiology and treat pathology of the central nervous system.
EMBRI
EMBRI is an IDEAL Stage 1 Feasibility study using ECoG arrays to capture brain recordings. The aim of the study is to identify markers of brain ischaemia secondary to supratentorial or infratentorial fixed brain retraction.
Leads: Will Muirhead, Siddharth Sinha, Hugo Layard Horsfall
SUNAN
SUNAN is a basic science study involving a procedure using novel Neuropixel probes to record single-unit neurophysiological activity with human participants who are already undergoing a transcranial neurosurgical procedure on the brain.
Leads: Will Muirhead, Andreas Schaefer, Mihally Kollo, Hugo Layard Horsfall, Jigi Moudgil-Joshi