Search results for: 'diagnosis AI'

This research services provides an overview of the global CAD in breast cancer screening market and a 5-year forecast from 2021 to 2026. The market will grow from $118.0 million in 2021 to $165.7 million in 2026, increasing at a compound annual growth rate (CAGR) of 7.0%. The mammo-CAD and ultrasound-CAD segments will grow at the highest rates due ...

03 Dec 2024  |  North America  |  Technology Research

Technology Innovations and Growth Opportunities in Breast Cancer Diagnosis

Advancing Breast Cancer Diagnosis by Leveraging Acoustic and Nonionizing Radiation Technologies

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Mammography and tissue biopsy have been the gold standard to detect breast cancer. Repeated mammography to assess the treatment response or disease prognosis results in frequent radiation exposure. In women with dense breasts In women with dense breasts, which have more fibrous and glandular tissues, mammograms show a white image similar to cancero...

22 Jun 2020  |  North America  |  Technology Research

Analysing Sepsis Management Part I: Diagnosis

Recent Advances in Sepsis Diagnosis: PCR, Immunoassays, Sequencing and beyond

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Sepsis diagnosis The current research study discusses the understanding of sepsis, its epidemiology, sepsis diagnosis and unmet clinical need of rapid sepsis diagnosis, existing and developing diagnostic platforms for sepsis management including patents landscape, clinical studies, Regional analysis, companies and their sepsis diagnostic platforms...

The leading cause of cancer deaths in women globally is breast cancer. Regular breast cancer screening is imperative for early detection and timely intervention. Screening mammography is the method most commonly used worldwide for the detection of breast cancer. However, the traditional methods of screening are plagued by several challenges. Over t...

Clinical genomics regained significance during the pandemic with the development of the mRNA COVID-19 vaccine, and several non-invasive at-home test kits; an unprecedented feat in recent times. Genomics will take center stage, as large genome sequencing and research will continuously create data for new therapeutics. Artificial Intelligence (AI) an...

The application of Generative AI (Gen AI) in healthcare is a rapidly growing field. In recent years, emerging applications in drug discovery and development, medical imaging analysis, digital twins, synthetic data, and electronic health records management, and virtual assistants have garnered significant interest thanks to their potential to revolu...

This Frost Radar™ analyzes the clinical ambient AI solutions that enable clinicians to improve their efficiency at the point of care. AI scribe capability has become the baseline market requirement, eliminating it as a differentiator and pushing vendors to compete on higher-order clinical and financial workflow integration. These capabilities inclu...

Although artificial intelligence (AI) has been around for decades, and the contact center industry has been leveraging it for years, recent advancements in AI have rapidly accelerated. The latter half of 2024 spouted industry excitement for next-level GenAI - agentic AI, also sometimes called autonomous AI. Agentic AI can act as the glue for orches...

Comprehensive wound assessment is vital to understand the nature of wounds and devise evidence-based and cost-effective therapeutic interventions. However, traditionally used methods for wound diagnosis and monitoring cannot accurately measure wound dimensions, require physical contact with the wound, which causes discomfort to the patients, and ca...