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Healthcare is innovating at such an incredible speed that it can be difficult to keep track of and assess which startups, products and innovations are most likely to impact healthcare and healthcare businesses in the short-midterm. Our forthcoming project, "Digital Precision Medicine – World – 2024", will offer insight into how investors and healthcare companies should approach and prioritize different emerging markets, including digital twin software which is the focus of this insight.

Explore the vanguard of medical imaging, where AI and novel modalities like ultrasound elastography and 4D flow MRI are redefining diagnostics. Discover the future of patient care at the intersection of technology and human health.

Artificial Intelligence (AI) is revolutionizing medical imaging, enhancing diagnoses and bridging health equity gaps. New advancements in AI and deep learning technologies are transforming X-ray imaging, predicting hip fractures, and identifying lung nodules. The future of patient care looks brighter with the integration of AI in medical imaging.

The technology is proving to be a revenue generator and a driver of innovation: The medical imaging AI market will likely exceed $1.7 billion by 2027, according to a report written by contributing writer Ellie Baker of Signify Research that AuntMinnie.com posted in July, and a recent report in the Journal of the American College of Radiology suggested that in the near future, venture capital funding will boost the number of AI radiology offerings cleared by the U.S. Food and Drug Administration.

Signify Research analyst in diagnostics and life sciences, Alexandra Bream, releases this insight on digital twins. The analysis also includes more information about the digital twin software architecture and downstream uses and benefits. Her team covers digital pathology, laboratory information systems, clinical Real-World Data (cRWD) platforms, oncology information systems, tumour board software, oncology decision support software and radiotherapy IT.

Healthcare solutions that are sold to users, including providers, payers, consumers, and other healthcare stakeholders

It's no secret that the rapid growth of AI in radiology is being fueled by venture capital firms eager to see a payoff for early investments in startup AI developers. But are there signs that VCs' appetite for radiology AI is starting to wane?....

Signify Research casts an eye into the future of AI in clinical digital pathology following the publication of its most recent market analysis. To have the greatest clinical impact AI vendors must evolve to meet the demands of the tomorrow's customers. But, asks Imogen Fitt, what will this evolution look like?

The ultrasound market is going through one of the most exciting and innovative periods in its history. The handheld ultrasound market is still maturing, there are many new technologies being developed such as ultrasound patches and wearable transducers, opening new avenues for diagnostic use.

According to Thompson, a major challenge to cloud adoption remains the budgeting model for NHS procurement, which is designed for large-scale capital expenditure. Whereas an on-premise IT upgrade might cost £10 million upfront, cloud might cost a few dollars for each unit of memory, and costs vary dependent on usage.