Harrison.ai

We are incredibly proud to be one of 20 partner organisations with Franklin Women 🤝 With respect to building a more diverse, inclusive and safe workplace in our sector, this partnership allows us to:  💙 Help provide meaningful support to women in our organisation  📚 Opportunities for learning and knowledge sharing We look forward to helping Franklin Women achieve their mission in creating a health and medical research ecosystem where women thrive 💫

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 delighted to announce that the Ministry of Health of the Republic of Indonesia and Harrison.ai have signed an MoU to collaborate on implementing AI in healthcare, such as for CT scans, to improve health service quality. Significant progress has been made in recent decades in Indonesia, with most of the population now enjoying healthcare coverage. The introduction of National Health Insurance (NHI) was a game changer, steadily expanding access to a wide range of treatments from both public and private healthcare providers. Leveraging AI is next on the roadmap to improve the quality of care being offered. Azhar Jaya, the Ministry's Director General for Health Services, highlighted that countries adopting AI in healthcare provide more accurate, effective, and efficient services. He also emphasised the importance of building radiologists' expertise to manage these tools. Dimitry Tran, co-founder of Harrison.ai, expressed his pleasure in collaborating with the Indonesian government. He stated, "Indonesia currently has six radiologists for every million people, and doctors are working very hard to serve a large population. We see #AI as an assistant and a tool to help radiologists work more efficiently." This collaboration underscores Indonesia's commitment to ensuring that quality healthcare is accessible to all. https://lnkd.in/gZxdjyRu

…and she’s a winner! 🏆💫 Last week, Catherine Jones was announced the winner of the Women in AI Asia Pacific (APAC) Award for AI in Health 🎉 But the accolades didn’t stop there. Shortly after, Catherine also received second runner up in the overall AI award across all sectors 🚀 A huge congratulations Catherine on the remarkable achievements and to the other nominees for your incredible and inspiring work related to the innovations of AI 💜 #aiforradiology #innovativeai

Thank you to the Tech Council of Australia CEO Damian Kassabgi for talking about the work Harrison.ai is doing as positive #AI led Australian innovation. Off the back of the Tech Council’s new report on Meeting the AI Skills Boom, we’re thrilled to see greater attention focusing on the growing economic impact of AI, predicted to add an extra 200,000 jobs in Australia by 2030 and grow the economy by up to $115 billion. At Harrison.ai, we’re seeing firsthand that AI is already playing a crucial role in healthcare by enabling the overburdened system to urgently scale global capacity, enhancing the quality of care that clinicians can provide. We are committed to advancing a better and more equitable global healthcare system through AI.

What does it take to truly scale an international AI healthcare company? Find out in our newest episode! Dr. James Somauroo Somauroo sat down with Dimitry Tran, co-founder and CEO of Harrison.ai, to answer this question, and boy did he share some invaluable insights! Harrison.ai are on a mission to scale global healthcare capacity using AI automation to enhance the care clinicians can provide. Dimitry revealed that the company's success is closely tied to their deep respect for, and understanding of, what healthcare professionals do on the ground – enabling Harrison.ai to create solutions that actually address their needs and solve their problems. If you want to learn more about building a successful AI healthcare company, this is an episode you won’t want to miss! Watch on YouTube ➡️ https://lnkd.in/eSnVdStX Listen on Spotify ➡️ https://lnkd.in/eq-f2DjD #heathtech #digitalhealth #thehealthtechpodcast #podcast #AI

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

Come and visit us at SIRM 2024: The Next Generation running from 20-23 June in Milan 👋 Come to the Annalise.ai booth (Booth H-06) and learn more about our comprehensive AI solutions 🔬💜 Visit our booth or book a meeting with our team: https://lnkd.in/gFa2HvAN 🗓

Comprehensive AI products don’t need to be all things to all radiologists in one unchangeable form. Ideally, they should be customisable to the setting in which they are used and the users. For example, some practices and teaching institutions may choose to divide findings into urgent and non-urgent categories or priority levels 📊 A customisable solution gives radiologists and their practices choice about which findings to display, depending on what is most suitable. That's why we've created comprehensive and customisable AI tools that can be used as per your clinical needs 🔬 To learn more about why comprehensive AI is a game changer for radiologists and patients alike, read this recent article by Clinical Consultant Dr Simon Edelstein: https://lnkd.in/gtBJFQpz