Annalise.ai

Happening today! 🇺🇸 Our Obstructive Hydrocephalus (OH) #AI solution is now the only radiology #AI triage device in the U.S. eligible for separate, additional Medicare hospital payment. This innovative technology triages non-contrast brain CT scans suspected of OH, a life-threatening condition that requires urgent diagnosis and treatment. 👉 Register for our webinar today, 15th October to learn more about NTAP and how you could claim additional payments for your hospital. Register here: https://bit.ly/ntapwebinar

At Annalise.ai, we are proud to see how our AI-driven Chest X-Ray solution is transforming cancer diagnosis pathways in #Scotland. In partnership with NHS Grampian, the Scottish Health Technologies Group, and the Centre for Sustainable Delivery, our solution has: - Cut the time from chest X-rays to Chest CT reporting from 22 days to just 10.1 days. - We’ve also increased the proportion of patients meeting the 62-day cancer treatment target from 52% to 100%. Early detection is crucial. By harnessing #AI, more patients are getting diagnosed and treated earlier, in turn improving patient outcomes. You can find the full annual report here 👇 https://bit.ly/4gCQoqu

We are thrilled to announce that Capital Health (US) has adopted Annalise Critical Care AI. As a leader in providing progressive, quality patient care, Capital Health continues to invest in cutting-edge technology. Annalise Critical Care AI is designed to support radiologists by prioritising time-sensitive cases in chest X-rays and non-contrast head CT exams, ensuring that no critical finding is overlooked. Dr Ajay Choudhri, Chairman and Medical Director of Capital Health’s Department of Radiology, shares: “Capital Health Radiology Services is proud to lead the way in using cutting-edge technology to revolutionise patient care. Implementing Annalise Critical Care AI marks a significant leap forward in our mission to provide the highest quality care to our patients. By helping our radiologists swiftly detect a range of critical conditions, this innovative technology allows the broader care team to safely achieve better outcomes and peace of mind for patients.”

👉 Annalise is now the only radiology #AI triage device in the US eligible for separate, additional Medicare hospital payment via NTAP. 👉 Register for our webinar on the 15th October to learn more about NTAP and how you could claim additional payments for your hospital. https://bit.ly/ntapwebinar The approval for separate, additional Medicare payment signifies a pivotal shift. In approving the payment, CMS recognized the device’s substantial clinical improvement over existing services, consistent with a Breakthrough Device Designation awarded to the technology by the Food and Drug Administration. The payment is specifically for the use of Annalise – Obstructive Hydrocephalus, part of the Annalise Critical Care AI solution, to triage non-contrast brain CT scans suspected of obstructive hydrocephalus (OH). Join our webinar on the 15th, or register to receive a copy of the recording to learn more! https://bit.ly/ntapwebinar

Annalise- Obstructive Hydrocephalus, part of the Annalise.ai Critical Care AI solution, has secured a Medicare New Technology Add-on Payment (NTAP) from the Centers for Medicare & Medicaid Services (CMS). This approval highlights the device’s significant clinical improvement for triaging non-contrast brain CT scans suspected of obstructive hydrocephalus. We are proud to be the only radiology AI triage device in the US eligible for separate, additional Medicare hospital payments, which will be valid for 3 years. This milestone represents a huge leap forward in enhancing patient care and streamlining medical workflows. It's good to be on the Times Square Nasdaq tower yet again. Thanks, Neil Waldron and team!

🇺🇸 Our Obstructive Hydrocephalus (OH) #AI solution is now the only radiology AI triage device in the U.S. eligible for separate, additional Medicare hospital payment. This innovative technology triages non-contrast brain CT scans suspected of OH, a life-threatening condition that requires urgent diagnosis and treatment. Reach out to our experts to know how: https://bit.ly/3BuV5T1

Great news for healthcare providers in the US! Annalise.ai's solution has received a significant boost in supporting patients further thanks to a recent Medicare New Technology Add-on Payment (NTAP) from the Centers for Medicare & Medicaid Services (CMS). This applies to Annalise –Obstructive Hydrocephalus, which is part of our comprehensive Critical Care AI solution. It helps triage non-contrast brain CT scans suspected of obstructive hydrocephalus (OH). As one of the most comprehensive AI triage solutions currently available in the US, this means we can help clinicians streamline their workflow, ultimately leading to enhanced patient care by: 🔬Flagging suspected critical OH cases 🩻Prioritising cases and potentially reducing time to read scans ⏱️Allowing time for faster intervention and treatment Interested to know more? Book a meeting with our US team: https://bit.ly/3BuV5T1

The latest research from the Mass General Brigham AI team, published in the Journal of the American College of Radiology, shows that the Annalise.ai solution can accurately detect overlooked vertebral fractures (VCF) on chest X-rays, potentially improving lives and saving money for both patients and the healthcare system. VCFs are crucial indicators of serious bone issues. Patients with a history of compression fractures face a five-fold increased risk of recurrence compared to those without. VCFs are often caused by osteoporosis, which can be spotted on chest X-rays, providing an opportunity for early treatment and the prevention of further fractures. However, only about 21% of women aged 50-64 are screened for osteoporosis. Bernardo Bizzo MD, PhD, a radiologist and senior director of Mass General Brigham AI business and  his team highlighted the cost benefits of identifying osteoporosis early. For instance, the osteoporosis drug Alendronate costs just $0.80 per week, while treating a hip fracture was estimated at $50,508 in 2014. One study estimated that preventing secondary fractures could save around $418 per patient. This research found that the  #Annalise Critical Care AI  device could detect vertebral compression fractures with 89.3% accuracy for VCF-positive cases (sensitivity) and 89.2% for negative cases (specificity) in a study of 595 patients. This meets the FDA’s benchmark sensitivity and specificity of 80% for computer-assisted triage devices. Additionally, the study revealed that Annalise.ai could help identify patients with undiagnosed osteoporosis. Only 36.4% of correctly identified vertebral fracture cases had a formal diagnosis of the condition, and just 59.3% had a diagnosis of osteoporosis or osteopenia.  Read more here: https://lnkd.in/g5xX7Yid

We are happy to announce that Annalise.ai’s radiology decision-support AI solution for CT Brain images will now be implemented across Sonic Healthcare's 120+ centres across Australia. Dr Julian Adler, CEO at Sonic Healthcare Australia Radiology said, "We first implemented in 2021, with the introduction of Annalise CXR as our preferred decision support AI provider for chest X-rays. Following the success of this over the past three years, we’re pleased to expand our use of the Annalise Enterprise platform to include the Annalise Enterprise CTB solution. Based on extensive market research, we’re confident that this solution leads in its category for its comprehensive capabilities, providing Sonic with the premium AI solution we’re seeking for CT brain studies.” Read more: https://lnkd.in/gTh7Ms_f

"While AI doesn’t replace a human radiologist, it reduces the time needed by the specialist by nearly half by flagging up areas of concern as well as prioritising cases in need of urgent attention.”   Our Chief Clinical Officer, Mark Phillips, recently spoke to MoneyWeek about the importance of fast diagnosis in cardiac health and how our #AI solutions are supporting radiologists to improve patient outcomes.   The piece features other innovative companies, all with the aim of improving clinical workflows and patient care. We know that collaboration is key to achieving this, and we are proud to be part of the conversation. You can find the full piece here: https://lnkd.in/ebthjSJQ   #AI #Radiology