Covera Health’s Post

Structured reporting is not just a technological advancement; it is a step towards a more data-driven and patient-centric approach to radiology. As we move towards a future where data is at the heart of healthcare decisions, structured reporting will play an increasingly crucial role in enhancing the quality and value of radiological services.    Discover transformative potential of structured reporting in our white paper: https://lnkd.in/dr2RD3Fn    #ECR2024 #radiology #brilliantworkflows 

#OleaBlog What Does the Future Hold for Radiologists and Radiology? Dive into our latest article exploring the exciting advancements and challenges facing radiologists today! 📈 🔍 From lightning-fast X-rays to the increasing complexity of imaging examinations, the landscape of radiology is rapidly evolving. While technology has streamlined many tasks, radiologists are grappling with more exams, intricate analyses, and the demands of patient care. Discover how AI and automation can alleviate the burden of repetitive tasks, allowing radiologists to focus on what truly matters: patient care and innovative research. Read the full article on our blog 🔗 https://lnkd.in/eNahKg5G #RadiologyFuture #MedicalImaging #HealthcareInnovation #AIinMedicine #Radiologists #PatientCare #ClinicalResearch

📣 📸 🧠 Thomas Juhl Olesen and Robert Lauritzen have extensively examined the possibility of enhancing the workflow and operational efficiency in acquiring #MRI images. CEREBRIU's main objective is to ensure that the right image is obtained on the first attempt and that any critical findings are promptly addressed to shorten intervention time and thus improve acute patient treatment and outcome. ❗ 🏥 https://lnkd.in/dJpAqTPe #radiology #medicalimaging #healthcare #artificialintelligence Mélisande Rouger Natalie Erdmann Dr. Stefan Braunewell Akshay Pai Kristine Wernerfelt Dr Amine Korchi

Interested to know about Canada’s role in the global radiology community? Specifically, how Canadian institutions are advancing innovations in clinical practice and research methodologies? Check out one of our latest collaborative articles, “Canadian Radiology: 2024 update”. This open-access in-Press Article details the initiatives driving different radiology departments across Canada. Read on to learn from Dr. savvas nicolaou about the Vancouver General Hospital Radiology Department’s current research activities, including dual-energy computed technology (DECT) and the integration of AI with machine learning. Link below!

A great feature from The Health Foundation sharing perspectives form Katharine Halliday of The Royal College of Radiologists and Euan McComiskie from The Chartered Society of Physiotherapy on how technology impacts time to care.     Radiology is at the forefront of digital advancements, with AI-driven medical imaging enhancing diagnostic accuracy and efficiency. The discussion highlights the importance of quality data and seamless IT integration, showing AI's potential to revolutionise healthcare.   Read more: https://lnkd.in/eSW-UbsV  #HealthcareAI #Radiology #Innovation #PatientCare #Oxipit 

It was great to have a conversation with Katharine Halliday about how technology can give clinicians back time, but also thinking about the challenges of doing that well. Physiotherapy isn’t as technology-enabled as radiology but there are pockets of excellence all over our profession. We need to overcome the barriers to using technology to support the work of physiotherapy teams and deliver even better care quickly to those that need it the most. #DigitalPhysio #DigitalAHP #DataSavesLives

Excited to share an insightful study on the integration of AI in radiology! Hye Soo Cho, Eui Jin Hwang, and their team conducted an important study evaluating the effectiveness of AVIEW Lung Nodule CAD, our deep-learning-based AI system, in identifying basal lung metastases that were initially overlooked in abdominopelvic CT scans. These scans are often focused on abdominal organs, meaning lung metastases may be incidentally overlooked. In this retrospective study, which analyzed 878 CT scans, the AI system identified overlooked metastases in 1.5% of patients. https://lnkd.in/gGDWDFHy While the AI initially produced some false positives, radiologist review significantly improved accuracy without compromising sensitivity. This shows how AI can serve as a valuable second reader, enhancing the diagnostic process by detecting what might be missed in routine clinical evaluations. What’s more exciting is that we are currently progressing with a reader study to further assess how AVIEW can be integrated into clinical practice, and its potential impact on patient outcomes. You can find the full paper in Diagnostic and Interventional Radiology: “Artificial intelligence system for identification of overlooked lung metastasis in abdominopelvic computed tomography scans of patients with malignancy” by Hye Soo Cho, Eui Jin Hwang, Jaeyoun Yi, Boorym Choi, and Chang Min Park. #AIinHealthcare #Radiology #LungCancerScreening #AVIEW #AIInnovation #MedicalAI #ClinicalResearch #AbdominalCT

AI is here to stay, and so are diagnostic Radiologists As more and more automation is achieved in radiology, Radiologists must change to adapt to their changing roles in other to remain relevant. Those who adapt will replace those who fail to change. #medtech #MedicsinTech #aiautomation

Recognising the growing demand for exams and the need to enhance quality without compromising throughput, I-MED Radiology Network embraced Annalise.ai's solution in 2021. I-MED Radiology Network's strategic approach, including meticulous planning, education programs, and constant communication, provides a blueprint for successful AI integration. Today, the Annalise.ai solution is a companion for I-MED's 400+ radiologists. In conversation with Canadian Healthcare Technology, Dr Catherine Jones explains - In a test phase for chest X-ray exams, the Annalise.ai system exceeded expectations, demonstrating three times better performance on several key metrics. ➡ Notably, radiologists reported changing their reports 3.1% of the time, surpassing the target of 1%. ➡ Patient management changes and additional imaging recommendations also outperformed expectations. Dr. Catherine Jones said - "The radiologists who were the most opposed to AI became its biggest supporters after they had used it." The success story extends to the full rollout, with 93% of radiologists using the tool for every CXR, and 90% acknowledging a positive impact on reporting. Read more: https://lnkd.in/gBPMrWjP