Search results for: 'ecosystem intelligence'

The medical imaging and informatics industry is evolving, with vendors launching new products and solutions every other day. As the reimbursement environment transitions from fee-for-service to value-based payment, vendors business models and value propositions are changing. New evidence on the use of specific imaging techniques is influencing chan...

The MedTech industry until 2040 encompasses groundbreaking integrations of artificial intelligence (AI), biotechnology, regenerative therapies, nanomedicine, and sustainable digital ecosystems to redefine preventive, personalized, and precision healthcare. These advancements enable real-time genomic editing, implantable biosensors for continuous mo...

This study charts how digital health ecosystems are likely to form and scale through 2040 and what that implies for providers, payers, technology vendors, and retail/community partners. We define a digital health ecosystem as an interoperable platform that coordinates people, data, and decisions across home, retail, and hospital settings—secured by...

Frost & Sullivan research found the visible market success of artificial intelligence (AI)-driven interactive virtual assistants (IVAs), such as Alexa from Amazon and the Google Assistant, has been matched by specialized IVA deployments in various vertical markets such as financial services, education, and retail. Healthcare has presented opportun...

Computed tomography, X-ray radiography, and magnetic resonance imaging have been invaluable tools in disease diagnosis and treatment efficacy assessments, but the practice of manual viewing and grading medical images to identify abnormalities is time-consuming and can delay diagnosis for critical patients. Intelligent imaging analysis systems that...

Medical triaging in hospitals has significant challenges, including long patient wait times, increased healthcare staff workload, risk of human error in triaging, and unsatisfactory patient outcomes, primarily due to manual triaging processes. These factors impact the quality and efficiency of patient triaging, creating an urgent need for innovativ...

As clinical pipelines globally witness a surge in novel complex therapies, the clinical trial industry demands new tools in predictive analytics to improve trial design, planning, and execution. Artificial intelligence is gaining large-scale recognition as support for decentralized trial designs, thus enabling patient-centric clinical trial designs...

The global continuous glucose monitoring (CGM) market is undergoing a fundamental transformation as the technology evolves from a prescription-led glucose monitoring device into an AI-connected metabolic intelligence ecosystem. Market expansion is increasingly driven by the emergence of over-the-counter (OTC) CGM, growing adoption among non-insulin...

The global POCT market is rapidly evolving from standalone rapid diagnostics to connected, AI-enabled clinical intelligence ecosystems that support decentralized healthcare delivery. Growth is driven by the increasing demand for faster clinical decision-making, early disease detection, personalized treatment, and expanded access to testing across h...