deepc

Next week, Dr Sarojini David, Clinical Director of Radiology & AI Lead at Lewisham and Greenwich NHS Trust, will be taking the stage at the World Health AI Summit London.   With LGT as a deepc partner, Dr David has been leading the Trust’s clinical AI journey from careful evaluation to real-world use across adult and paediatric pathways.   LGT's experience brings an important perspective to this year’s Summit: what does it actually take to move AI from evaluation into everyday clinical practice, safely and at scale?   For Dr David and her team, that journey has involved much more than deploying an AI solution. Clinical oversight, governance, training, multidisciplinary collaboration and continuous feedback have all played a role in building confidence and expanding its use across the Trust.   It’s fantastic to see LGT’s valuable experience represented at this year’s Summit, and we wish Dr David a great session in London.

Some teams bond over workshops, ours bonds over a very determined uphill hike ⛰️ Last Friday some of the Munich deepc team traded monitor screens for Garmisch Partnachklamm - the famous gorge near the German-Austrian border where the river has spent a few thousand years carving through stone. From there we climbed, and the group found its rhythm during our ascent. We closed off at the Olympic Stadium for a well-deserved lunch!   Days like this are easy to dismiss as a nice break from the work, but they're closer to the opposite. Knowing the people you build with, not just their role, but how they think and what makes them laugh is what makes the harder conversations easier later on.   Thank you to everyone who came along! Same time next year? 🚀   #OutstandingTogether #TeamCulture

Clinical AI is moving quickly. For health systems, the bigger question is how to build an environment that can keep moving with it. That’s a conversation we’re looking forward to continuing at R3 Imaging 2026 in Konstanz, 17–19 September. deepc’s DACH Account Director, Tobias Pink, will be there to talk about how health systems can build the infrastructure to deploy, integrate and govern AI across a growing mix of commercial, in-house and emerging models. If you’re heading to R3 and thinking about what your AI strategy needs to look like over the next few years, find Tobias and say hello! Bis bald am Bodensee 🚀 #R32026 #HealthcareAI #OutstandingTogether

Join deepc at the All Ireland Conference in Dublin this week ☘️ One conversation we’re particularly looking forward to is how healthcare organisations move beyond the algorithm and build trusted, integrated AI workflows. As AI adoption in Ireland grows, that means thinking about the foundations around the models too: how AI fits into existing clinical systems and workflows, how it is governed, and how organisations create an environment that can support AI safely at scale.   Our UK & Ireland Account Director Phil Baker will be present on Sep 12 to discuss your specific AI needs and demonstrate how to deliver AI value directly in your healthcare infrastructure.   See you soon in Dublin 🚀 #AllIrelandClinicalAI2026 #OutstandingTogether #HealthcareAI

A health screening programme can have an excellent AI solution behind it and still struggle in practice. The data has to reach it. The output has to fit into a workflow clinicians will actually use. Local validation, monitoring and governance all have to hold up once deployment begins.   The technology to extend specialist expertise into underserved regions and reduce pressure on overstretched teams already exists. Building the infrastructure that keeps those systems working safely in the real world is the harder, less visible part.   That is what our Technical Solutions Architect, Dan Sperring’s latest piece covers. Link in comments.

You already know the drill: every new clinical AI model means another round of approval, six to eight months of it.   Anil Mistry, AI Safety Lead and Senior Clinical Scientist in AI at Guy's and St Thomas' NHS Foundation Trust, explains in our latest webinar why that cycle doesn't repeat once the infrastructure has already earned IT's trust. Updates and new models move through the same approved pipeline rather than starting from scratch.   Watch the full session to hear how GSTT built that trust once, and what it changed for everything that came after. https://lnkd.in/e-MYdHPr

A single infrastructure workflow took Diagnostikum Gruppe from first test to a live decision in about a month, instead of the typical 9 to 12 months. And the highest-scoring result wasn't the one that won.   The outpatient network needed proof on its own local data, not vendor claims or published benchmarks. Every candidate tool ran through the same routing, cases, and clinicians within a single workflow, rather than six separate ones.   Inside: the case-mix findings behind that decision, and what the compressed timeline meant for first-year ROI.   Download it here: https://lnkd.in/etFnqXvt

"I could never have done this. My IT team would have killed me." That's what Dr. Peter Brader said about the conventional way to evaluate six AI solutions.   At Lewisham and Greenwich NHS Trust, two fracture models worked a trial shift in the background before either one got promoted to the clinical floor.   Guy's and St Thomas' NHS Foundation Trust didn't need to build a second hospital to validate models their own team builds.   What do these have in common? Our latest blog has the answer. https://lnkd.in/dzYPjr67

The People Behind the Machine Your first job can be daunting, even more so in finance. So what do you actually learn in your first finance role at a healthcare scale-up? According to Paula Verdesoto, our Jr Finance Associate: more than any textbook ever covered. In the third week of our people campaign, we return to finance once again where Paula shares what surprised her most when joining deepc: that finance here is anything but a straight line. "While finance is my primary focus, I truly appreciate that a company's success relies on the vital work that happens beyond our main roles. Coordinating logistics and keeping things organized is what keeps the gears turning. Personally, I find great satisfaction in working behind the scenes to ensure our team has a smooth and comfortable environment. Organization is a skill I love to bring to the table. Whenever it helps make everyone's day easier, I'm happy to jump in!" Real ownership from day one, and a front-row seat to healthcare AI in the making. Stay tuned for the last week of the campaign up next 💫 #OutstandingTogether #HealthcareAI #OperationsTeam

Today, the world watches as eleven players move as one system rather than eleven separate talents. Clinical AI runs on the same principle: no single model wins alone, but the infrastructure around them- governance, security, orchestration- decides who actually gets to play. Have you got every position covered?