oxipit

Tomorrow marks Oxipit's 7th birthday! 🎉 To celebrate, we're highlighting some of our incredible milestones over the past 7 years: 🎯Achieved the first (and only) CE certification for autonomous reporting. 📄Submitted our CXR solution to the FDA. 🔎Partnered with University Hospitals Birmingham NHS Foundation Trust for our largest single-site clinical study on ChestLink. 👥Built a stellar team of data and clinical experts. 🌍 Expanded our customer base across 6 continents—Antarctica, we're coming for you! 🗣 Represented Lithuania globally at Radiological Society of North America (RSNA), #ECR2024, and The Royal Australian & New Zealand College of Radiologists (RANZCR).  🤝Formed strong partnerships with industry leaders like Sectra, Blackford, deepc, Covera Health, CARPL - Radiology AI Platform, HealthCare Konnect (HCK) - Scaling accuracy in diagnostics and more. Here’s to many more milestones! #Oxipit #Innovation #AIinHealthcare #Radiology 

Last week’s insightful webinar by Health Tech News titled "Will the Reality of AI Live Up to Current Hype? How Do You Manage Bias in Healthcare Data?" featured great discussions from panelists Puja Myles, Ricardo Baptista Leite, M.D., and Shanker Vijayadeva. They discussed AI's potential and challenges, focusing on bias management, community collaboration, and data governance. Missed it? Check out the write up!

🚀 Earlier this year our team had a fantastic time at #UKIO2024, discussing the future of autonomous reporting. One key session, chaired by Dr. Sarim Ather and featuring our CMO, Naglis Ramanauskas, emphasised the growing need for autonomous AI in radiology.   Explore our latest blog post for a detailed recap of our experience at UKIO2024. Learn how we address radiologist shortages by automating the reporting of normal scans, enhancing diagnostic accuracy, and freeing up time for more complex cases.  https://lnkd.in/eSuajH_3  #Radiology #HealthcareAI #Oxipit #PatientCare 

According to a new poll from The Health Foundation, more than half of NHS staff are ‘looking forward’ to using artificial intelligence at work, with 76% in favour for patient care and 81% for admin tasks. The public also shows support, with 54% backing AI for patient care and 61% for admin. However, concerns about AI’s impact on the human dimension of care persist, with 65% of NHS staff worried it could make them feel distant from patients. At Oxipit, we believe AI can enhance care quality and reduce workloads. By automating normal chest X-ray reports, ChestLink allows radiologists to focus on complex cases, ensuring optimal patient care. Read more:   https://lnkd.in/e5D6KqrV #AIinHealthcare #PatientCare #Innovation #Oxipit 

💡 Great commentary from Prof. Susan Shelmerdine's in AuntMinnieEurope.com highlighting the importance of a balanced partnership between radiology and AI. She emphasises continuous governance, patient engagement, and a clinical-driven approach to adoption.  Oxipit echoes these sentiments, focusing on AI tools like ChestLink that enhance diagnostic accuracy and reduce radiologist workloads. Robust AI governance and multidisciplinary discussions are essential to maintain effectiveness and safety, ensuring AI serves humanity productively and compassionately. Read the full article:  https://lnkd.in/eNBCsG2U #Radiology #AIinHealthcare #Innovation #PatientCare   

📢 Exciting developments in AI for healthcare!  Ellen Phiddian's article in Cosmos Magazine highlights how a team of US researchers, including Dr. Naoki Takahashi from the Mayo Clinic, have developed an AI algorithm to spot prostate cancer on MRI scans. This AI performs as well as experienced radiologists and works even better in combination with them.  It's fantastic to see our shared vision of enhancing diagnostic accuracy with AI come to life, significantly impacting patient care. Read more:   https://lnkd.in/eh9mYbit #AIinHealthcare #Radiology #Innovation #Oxipit 

The recent survey from The Health Foundation highlights strong support for AI in healthcare among NHS staff (76% for patient care, 81% for admin tasks) and the public (54% for patient care, 61% for admin tasks). Despite some concerns about accuracy and human connection, the findings underscore the need for a dedicated AI strategy that focuses on high-quality testing, regulatory clarity, and robust engagement with staff and patients.  Through our work leveraging AI to enhance diagnostic accuracy and efficiency, we're committed to ensuring a human touch remains central to care, allowing more time and focus on complex cases. Read more from Mark Say at UKAuthority:  https://lnkd.in/eC7QtNbt  #AIinHealthcare #Radiology #Innovation #PatientCare #Oxipit

The recent decision by the new Labour government to shelve £1.3bn in funding for tech and AI projects has raised concerns about the UK's competitive edge in technological advancements. This includes the exascale supercomputer at Edinburgh University. At Oxipit, we believe strategic investment in AI is crucial for innovation and efficiency in healthcare. While economic stability is important, prioritising tech funding is essential to drive advancements in AI, particularly in fields like radiology, where we strive to improve diagnostic accuracy and reduce workload pressures.  Read more from Zoe Kleinman at BBC News: https://lnkd.in/eWAi_dey  #TechFunding #AI #Innovation #Oxipit 

🚨 The Society and College of Radiographers (SCoR) highlights a critical issue: NHS waiting times for scan results are far behind targets, with nearly 200,000 patients waiting over a month.  Charlotte Beardmore CBE CBE, Executive Director of Professional Policy for the SCoR, says, "It is very concerning to see the increase in the number of unreported images a year on. This impacts care for patients causing delays to their diagnosis and potential impact on their treatment outcomes. " At Oxipit, we believe AI-driven solutions can help alleviate these delays by automating normal scan reporting, allowing radiologists to focus on complex cases and improve patient care. Read the full article: https://lnkd.in/eAUZSzwX #Radiology #HealthcareAI #PatientCare #Oxipit 

We had an inspiring time at #RADAIM 24, where AI in radiology took center stage. Highlights included Philips and Anil Gupta showcasing diverse AI applications and success stories from I-MED Radiology Network's Saji Karunasena and Annalise.ai's Dimitry Tran. Dr Ian Kadish provided a visionary outlook on radiology's future. A standout was Prof Catherine Jones's presentation on the National Lung Cancer Screening Programme. It was also fantastic to connect with Jamie Osmond, Anthony Saliba, Peter Sundic, and George Salmo. Kudos to Rhys Wallace for organizing this fantastic event! #AIinHealthcare #Radiology #Innovation #Oxipit