Boosting radiology accuracy with a helping hand from AI! 🧠🔬 A new study shows a 32% increase in accuracy and 11% faster reading of complex CT brain scans with the help of Annalise.ai 🚀 Learn more here: inews.co.uk/news/science/n… #AIinHealthcare #DigitalMedicine

Annalise.ai was awarded second place in this year’s TechRound's AITech 35. This competition celebrates the most exciting AI companies and innovations across the UK and Europe. Read our full entry here: techround.co.uk/competitions/2… #techround #ai #competition

As the need for quality medical care increases globally, AI plays a critical role in supporting specialists treat more patients, more efficiently. Read about Annalise.ai's feature in The i Paper here: inews.co.uk/inews-lifestyl… #aihealthcare #medicine

AI technology is one of the most exciting, powerful tools ever created. Sure, we can use it to find synonyms, make shopping lists or even write our best man or maid of honour speeches… but why don’t we use it to save and improve lives? At Harrison.ai, we want to

AI has immense potential to assist medical practitioners with managing the increasing volume of radiological images and help address the global shortage of medical professionals. Our multimodal foundational model, Harrison.rad.1, is a specialised medical model combined with an

Co-Founder and CEO of Harrison.ai Dr Aengus Tran sat down with Fierce Healthcare to share the news of the launch of Harrison.rad.1, the latest frontier in radiology-specific foundational models. It has been trained on extensive medical imaging data that is

What is the importance of having clinical context? When we asked Dr Nick Woznitza, MBE, PhD Consultant Radiographer & Clinical Academic UCL, he shared his thoughts: “Filtering out the significant abnormals from the expected abnormals is something that these models show really,

We’re launching Harrison.rad.1 – a new AI model to make healthcare more accurate and accessible. Specialised in radiology tasks, Harrison.rad.1 represents a major breakthrough in applying AI to help bridge the global healthcare workforce gap. We’re making Harrison.rad.1

How can we ensure technology such as Harrison.rad.1 is safe and effective before it can be introduced into clinical practice? When we asked Professor Catherine Jones her opinion she responded, "If we aim for perfection, we will never implement anything. We need to assess what

What distinguishes Harrison.rad.1 from commercially available radiology AI tools? When we asked Dr Rick Abramson, MD, MHCDS, FCR, U.S. Board-Certified Radiologist this, he responded: “What I was really looking for in this test drive of Harrison.rad.1 was evidence that the model

Hear from Dr Neeraj Mahboobani, Interventional Radiologist Hong Kong SAR as he discusses the demand/ supply gap in radiology, and the potential applications for a radiology-specific foundation model to support the clinical workflow. We’re making Harrison.rad.1 accessible to

Yearning to make a meaningful impact? At Harrison.ai, every team member's contribution is helping deliver better patient care globally. Unleash your full potential with us & get ready to do life-changing work 💙 harrison.ai/careers/ #hiring #AI

Rise to 'New Heights in Imaging Informatics' with Annalise.ai at the Society for Imaging Informatics in Medicine (SIIM) Annual Meeting in Portland, Oregon from 21-23 May. Say hi to the team at booth 402, or beat the queues & book a demo: annalise-ai.zoom.us/zbook/monica-r…

Throwback to Tech Council of Australia Tech Summit, where Dr Aengus Tran, co-founder of Harrison.ai & Annalise.ai, was asked a provocative question: 🤔💡 When will it be malpractice not to use AI in radiology? #clinicalAI #medicalimaging #radiology

⏳ 1 day to go. We’ll be announcing the exciting next steps on our journey towards a system with infinite medical capacity very soon... #clinicalAI #radiology #pathology #healthcare #patientcare