JivaRDX
Prostate cancer is set to become the most common cancer in men with approximately 50,000 new cases every year. Subjectivity in diagnosis is a known issue with sensitivity recorded as low as 57%. A high time and economic cost of biopsy complications mean that radiologists are under increasing pressure to improve efficiency.
Jiva.ai is set to become the first AI-based solution trained on 1000s of MRI scans from a variety of sources. The trained kernel is currently undergoing clinical investigation. We are currently operating at a sensitivity of 94% and specificity of 90%.
Doctors in A&E are overworked, tired and pressured – they need every bit of help they can get. Moreover junior staff can have an error rate of up to 30% in identifying fractures from scans. Jiva.ai has teamed up with Robert Gordon University via an SBRI grant to deliver an automated tool to diagnose fractures quickly and efficiently. The AI solutions were built on hundreds of x-ray images of wrist and collar bone breaks – indications that could easily be missed in a busy A&E department by junior doctors.
NHS waiting lists are at an all time high. Jiva.ai is being used to better risk stratify the waiting lists, using primary, secondary care data points as well as clinician and patient wishes.
Expensive clinical trials can fail due to patient non-compliance with clinical trial guidelines. Jiva.ai is using personality data to see which traits are most likely to comply with medication protocol.
Jiva.ai is the AI partner to the large InnovateUK funded ID Liver project (earlier detection of Liver Disease) a collaboration with Manchester University, Roche and GE healthcare. Early results are strongly positive where Jiva.ai is able to diagnose the disease 6% better than current standard of care.
EU AI Act Developed by the Organisation for Economic Co-operation and Development (OECD), the EU AI Act is the first legislative proposal of its kind in the world and supports a global consensus around the types of systems that are intended to be regulated as......
Singapore, London, 06th February 2024 — Jiva.ai, a leading no-code AI platform, and Aevice Health, a prominent provider of remote respiratory monitoring solutions for the healthcare continuum, today announced their collaboration on a jointly funded co-innovation programme by Innovate UK and Enterprise Singapore aimed at......
Looking to 2024’s innovations The age of language models is here (sorry to state the obvious). 2023 saw the advent of easy-to-use LLMs, and the rise of their pre-existing underlying enabling technologies – transformers and retrieval in particular – which transformed the AI landscape in......
