Annalise.ai

We are pleased to support Lumus Imaging in tuberculosis screening, thereby making a significant contribution to public health. Our Annalise Enterprise CXR solution will aid more than 160 radiologists at Lumus Imaging in managing their extensive daily caseload of tuberculosis screenings. Through our tailored AI technology, our collaboration aims to improve diagnostic accuracy and efficiency, ensuring Lumus Imaging maintains its commitment to delivering the very best diagnostic services to its customers. Read further details on our recent partnership announcement here: https://bit.ly/3YeDN69

Implementing an AI imaging system involves a significant investment of resources - including time, energy and money. You want to be certain that your choice of solution is the best one possible. Fortunately, there are some key signposts you can follow when making your decision. Here are three crucial things to keep in mind to help ensure your chosen solution meets your needs both now and well into the future. Learn more about the key considerations when looking an AI solution for you: https://lnkd.in/gC5snBMq

In case you missed it, following our successful tenders win through NHS England's new AI Diagnostic Fund (AIDF), Signify Research Ltd published a detailed article on what this means for us and our users. Some excerpts from it: “Defining “normal” is a significant challenge for many AI developers. In Annalise.ai's case, the comprehensive nature of its solution eases the identification of normal states for users and empowers its users to set their own definition of "normal" that fits the individual care guidelines and care pathway of the site. Many AI solutions operate as a “black box”, offering little to no visibility on how or why they arrive at their conclusions. Annalise is slightly different, allowing users to lift the lid and configure the solution to their specific requirements. This is particularly valuable in the NHS, which typically lacks standardisation, offering separate Trusts individual control over the parameters.” Read more here: https://lnkd.in/gm_qfVfK #AI #NHS #Radiology

On a mission to improve radiology services globally, we’ve been on a transformative journey with Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust 🌍 Using our comprehensive yet customisable AI solutions, we’re working with NHS Doncaster’s clinical team to enhance radiology practices and improve patient outcomes. Read how our solutions will help clinicians in their day-to-day: https://lnkd.in/dcZra2y4 #AIHealthcare #NHS #DBTH #Radiology

It’s incredible to see how Annalise.ai's solutions are being utilised to improve diagnostic accuracy in radiology at Bradford Teaching Hospitals NHS Foundation Trust 🚀 By providing radiologists “a second set of eyes”, we’re able to detect findings within seconds that may be subtly overlooked in certain situations. With these solutions, we can work in unison to improve patient outcomes. Read more about our partnership here: https://lnkd.in/eyqeNZPZ ⭐

Our Enterprise CXR solution is now being made available to radiologists at over 40 NHS Trusts across the UK. This milestone marks a significant step forward in harnessing AI to enhance healthcare outcomes and streamline diagnostics. With Annalise.ai, radiologists can now leverage advanced AI technology to manage workloads and prioritise critical cases. Our tool is designed to support healthcare professionals by providing precise insights, aiding in early detection, and ultimately, improving patient care We're committed to our collaboration with the NHS to make a real impact in healthcare delivery. Together, we're shaping the future of medical diagnostics with AI. Read more about Annalise.ai being selected as the preferred provide here: https://lnkd.in/g7CnS8Av 🚀 #AnnaliseAI #HealthTech #AIinHealthcare #NHS

🇩🇪 We are excited to announce that Raya Diagnostics, one of Germany’s leading teleradiology providers, has chosen to adopt Annalise.ai's Enterprise solutions. Raya Diagnostics will be the first teleradiology provider in the DACH region to integrate Annalise.ai into their workflow! 🎉     With the Annalise Enterprise AI on their side for chest X-rays and brain CTs, Raya's workflow will be enriched, providing robust diagnostic support to their radiologists. This way, findings will be identified with even higher diagnostic confidence and accuracy, particularly during periods of exceptionally high workloads or during night shifts, and worklist optimization will lead to reduced turn-around times, ultimately further enhancing Raya’s ability to deliver exceptional patient care. Read more: https://lnkd.in/gAimCUQN

We're happy to share that our co-founder, Dimitry Tran, recently sat down with Dr. James Somauroo on The Healthtech Podcast to discuss what it takes to scale an international AI healthcare company.   Dimitry shared his insights into how the team is leveraging AI to free up clinicians' time by acting as a second pair of eyes, improving efficiency and accuracy, and enabling them to focus on patient care.   Listen to the full episode to hear more about our mission and the innovative strides we're making in the healthcare industry.   #AI #Podcast #Innovation https://lnkd.in/eSnVdStX

We're looking forward to showcasing our Annalise Triage product at #SIIM24, an annual InformaticsTECH expo that connects the brightest minds in the medical imaging informatics community. Come to the Annalise.ai booth (Booth 514) and learn more by booking a meeting with our US team here: https://lnkd.in/gf5saCtq 🏥 Society for Imaging Informatics in Medicine (SIIM) #ai #triage

Healthcare systems are facing a tidal wave of issues including; ED overcrowding, overuse of ‘STAT’, high burnout levels of healthcare specialists and fewer doctors opting to pursue radiology specialisation 🚨🚑 Annalise Triage is a comprehensive AI solution that prioritises time-sensitive cases by improving report turnaround times, and time-to-care for high priority head and chest findings without impacting the clinical workflow 🔎 Learn more how Annalise.ai is providing consistent and reliable prioritisation and quality triage for the U.S. healthcare system: https://lnkd.in/gBkjgp3w