Search results for: 'endpoint detection ai detection'

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...

The use case for commercial AI in medical imaging focuses on workflow productivity and diagnostic accuracy in a radiology set up. The impending shortage of radiologists, burnout from a constantly growing imaging workload, and higher investments (by both public and private groups) favor the adoption of AI in medical imaging. Several medical imaging ...

30 Jun 2023  |  Global  |  Technology Research

Neonatal Monitoring: Technology Innovation and Growth Opportunities

AI-enabled Noninvasive Monitoring that Offers Real-time Feedback and Intelligent Decision-making Drives Transformational Growth.

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Neonatal monitoring medical technologies monitor newborn babies’ health and vital signs in the first few days or weeks of their life. These technologies are used in neonatal intensive care units (NICUs) and other hospital settings or at home. Some commonly used neonatal monitoring devices include electrocardiography (ECG) monitors, pulse oximetry m...

08 Nov 2024  |  Global  |  Market Research

Growth Opportunities in Enterprise Imaging, Global, 2023-2028

Enterprise Imaging is Experiencing Transformational Growth in its Shift to a Cloud-native Software-as-a-Service Business Model with AI Integrations as a Growth Lever

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Medical imaging is no longer limited to radiology, and radiology software solutions are facing challenges in accessing and integrating patient data across health networks. As a result, healthcare providers are adopting enterprise imaging (EI) strategies to consolidate all patient data into a single platform to provide better access and improved dat...

A major challenge in drug discovery is the limited number of gene targets that can be targeted for the development of a drug molecule. Only close to 400 genes are proven targets for US FDA-approved drugs. 80% of human genes are unexplored as targets, and some are considered undruggable. The identification and the selection of novel drug targets (p...

As the industry continues to innovate across novel small- and large-molecule therapies, including RNA-targeted small molecules, cell and gene therapies, and mRNA therapies, pharma sponsors increasingly rely on partners for technology access, database generation and analysis, and preclinical and clinical research.These disruptions continue to drive ...

The latest issue of Advanced MedTech Technology Opportunity Engine (TOE) profiles a wide range of innovations from the advanced medical devices, wearables, and diagnostics industry. The issue includes advanced medical devices such as high-resolution extended electrocardiography, non-diffractive intraocular lens, ultrasonic device to simplify roboti...

The latest issue of Advanced MedTech Technology Opportunity Engine (TOE) profiles a wide range of innovations from the advanced medical devices, medical imaging, and diagnostics industry. The issue includes advanced medical devices such as therapeutic device for heart failure, automated robotic disinfection system, remote monitoring of gravity IV ...

04 Aug 2021  |  North America  |  Market Research

Growth Opportunities Arising due to the Use of Commercial AI Models in Radiology

The Intensely Competitive Landscape Necessitates the Repositioning of Value Through the Acceptance of New Business Models

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As artificial intelligence (AI) solutions gain acceptance in the imaging fraternity and among senior leaders in the health systems space, competition has intensified and necessitated the creation of differentiation strategies for companies that want to improve their revenue and sustain growth. The rapid proliferation of medical imaging AI companies...