Generative Artificial Intelligence (AI) in the Medical Devices Sector – Thematic Intelligence
All the vital news, analysis, and commentary curated by our industry experts.
Access and explore in-depth trends and insights in our ‘Generative Artificial Intelligence (AI) in the Medical Devices Sector’ report:
- An overview of generative AI theme in the medical devices sector.
- An assessment of the current use of generative AI in medical devices.
- Access comprehensive details on use cases, risks, and limitations of AI in the medical devices market.
- Highlights the leading companies and disruptors in the generative AI theme.
How is the ‘Generative Artificial Intelligence (AI) in the Medical Devices Sector’ report different from other reports in the market?
- GlobalData’s thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors. It has a proven track record of identifying important themes early, enabling companies to make the right investments ahead of the competition and secure that all-important competitive advantage.
- Develop and design your corporate strategies through an in-house expert analysis of artificial intelligence by understanding the primary ways in which this theme is impacting the healthcare industry.
- Stay up to date on the industry’s major players and where they sit in the value chain.
- Identify emerging industry trends to gain a competitive advantage.
We recommend this valuable source of information to anyone involved in:
- Medical Devices Manufacturers/Technology Leaders and Startups
- Business Development and Market Intelligence
- Investment Analysts and Portfolio Managers
- Professional Services – Investment Banks, PE/VC firms
- M&A/Investment, Management Consultants, and Consulting Firms
To get a snapshot of the generative artificial intelligence (AI) in the medical devices sector thematic report, download a free report sample
Generative Artificial Intelligence (AI) in Medical Devices Thematic Overview
Of the five advanced AI technologies receiving the most attention today, generative AI is the fastest growing and is likely to pose a threat to every business across every sector in the coming years. The impact will expand across sectors and business functions as generative AI becomes more accurate and is able to provide reliable factual advice. Use cases include diagnostic imaging, personalized health, reducing healthcare spending, and more.
The Generative Artificial Intelligence (AI) in Medical Devices thematic intelligence report provides an overview of this emerging technology and its wider impacts on medical devices, while also providing insights on the immediate and future effects of Generative AI.
|Value Chain||· Hardware
· Data Management
· Foundation AI
· Advanced AI Capabilities
|Use Cases||· Research and Development
|Leading Vendors||· DiagnaMed
· Google Cloud Platform
· Clarify Health
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Full AI - Value Chain Analysis
The AI value chain consists of hardware, data management, foundation AI, advanced AI capabilities, and delivery. Generative AI (or creation) falls within the advanced AI capabilities category. Other subsegments under the advanced AI capabilities value chain are human-AI interaction, decision-making, motion, and sentience.
AI Value Chain Analysis
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Generative AI in Medical Devices – Risks and Limitations
The risks posed by generative AI in medical devices theme are data access, racial and ethnic inequalities, environmental limitations, data processing, ethical risks, data privacy, self-diagnosing, and financial. The collection and use of patient healthcare data and information through AI medical products could conflict with regulations around the globe. Hence, medical device companies as well as healthcare professionals should remain vigilant and understand when such regulations apply.
Generative AI in Medical Devices Risks and Limitations Analysis
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Generative AI in Medical Devices – Medical Industry
Generative AI can improve personalized healthcare by collecting data from patients via wearable devices. These wearables can provide continuous, real-time data that can complement traditional data sources such as imaging, patient records, and more. Generative AI tools can help healthcare professionals make more accurate diagnoses by finding abnormalities that a healthcare professional may have missed. It can also enhance existing imaging techniques by generating high-quality images of organs using data from low-resolution images (such as ultrasounds).
Some of the use cases of generative AI employed in the medical devices industry are research and development, prevention, diagnostics, treatment, and monitoring. For example, DiagnaMed plans to roll out its AI brain health platform, CERVAI, in Q4 2023. CERVAI provides a two-pronged analysis of brain health and has a Brain Age Estimation tool that uses an electroencephalogram headset and machine learning model to predict brain age. The software can be used to reveal whether an individual’s brain is aging faster than their actual age.
For more insights into the generative AI in the medical industry, download a free report sample
Some of the leading vendors making their mark within the AI in medical devices theme are:
- Google Cloud Platform
- Clarify Health
DiagnaMed: It is a Canadian generative AI healthcare solutions company, based out of Toronto, Ontario. They are working on a number of AI products, including CERVAI, a proprietary brain health AI platform, and Health GenAI, a suite of generative AI solutions powered by OpenAI’s ChatGPT platform for the healthcare market.
To know more about the leading vendors in the generative AI in medical devices theme, download a free report sample
Segments Covered in the Report
AI Value Chain Outlook
- Data Management
- Foundation AI
- Advanced AI Capabilities
Clarify Health Solutions
Table of Contents
Generative AI overview
Risks and limitations
Our thematic research methodology
Frequently asked questions
What are the components of the AI value chain?
The AI value chain consists of hardware, data management, foundation AI, advanced AI capabilities, and delivery.
What are the use cases of generative AI associated with the medical devices industry?
Some of the use cases of generative AI employed in the medical devices industry are research and development, prevention, diagnostics, treatment, and monitoring.
Who are the leading vendors of generative AI making their mark in the medical devices theme?
Some of the leading generative AI vendors making their mark in the medical devices theme are DiagnaMed, Google Cloud Platform, and Clarify Health.
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