Home Radiation Artificial Intelligence in Radiation Assay Market Dynamics, Industry Forecast, In-Depth Analysis and Key Players – Bayer AG, Imalogix, Siemens Healthcare, Omega Medical Imaging, LLC

Artificial Intelligence in Radiation Assay Market Dynamics, Industry Forecast, In-Depth Analysis and Key Players – Bayer AG, Imalogix, Siemens Healthcare, Omega Medical Imaging, LLC

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A comprehensive research offering of an inclusive analysis of the Global Artificial Intelligence in the Radiation Dosing Market size, share, recent developments and trends can be presented in this latest report from Absolute Markets Insights. According to the report, the global artificial intelligence in radiation assay market is expected to witness significant growth during the forecast period 2021 to 2030. The study provides a brief summary and in-depth insights into the market by collecting data from industry experts and several in the market. In addition to this, the report offers a detailed analysis of geographies and outlines the competitive scenario to help investors, leading players and new entrants to secure a major share of the global Artificial Intelligence market in the dosage of radiation.

In terms of revenue, the AI ​​in Radiation Assay market was worth US $ 39.222 million in 2018 and is expected to grow at a CAGR of + 30.2% during the forecast period. The study analyzes the market in terms of income across all major regions, which is further divided into countries.

Some of the major players operating in the global artificial intelligence in radiation assay market include: American Well, HeyDoctor, LLC, ICEBREAKER HEALTH INC. (Lemonaid), Maven Clinic Co., NURX Inc., Pandia Health, Inc., PILL CLUB, among others.

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The Artificial Intelligence in Radiation Assay market research follows a combination of in-depth research and a structured methodology. These methods survey the market from different angles to find suitable analyzes. However, on a general scale, data is collected from a variety of trusted sources such as vendor listing, product and research documents, manufacturer processes, and many more. Every market research receives exactly the same shadow of attention that makes it worth reading. The Artificial Intelligence in Radiation Assay market report has categorized the market into segments comprising product type and application. Each segment is evaluated based on share and growth rate. Meanwhile, analysts looked at potential areas that could prove rewarding for builders in the years to come. The regional analysis includes reliable forecast on value and volume, thereby helping market players to gain in-depth insights across the industry. Furthermore, the Artificial Intelligence in Radiation Assay market research is articulated around the development of regional trends, preferred marketing channels, long term stability, and environmental analysis. It also contains product capabilities, price, income statements, demand, production and market growth and a trajectory for future forecasts.

Artificial intelligence (AI) in radiation dosing along with its subset deep learning technology provide distinct images for modalities performed in various healthcare settings. The same is providing low dose radiation among the patient group. This technology is pioneering the use of medical analyzes to derive the appropriate dosage of radiation, thus increasing the scope of the use of generic dose prescriptions. AI in radiation dosing has its application in clinics, hospitals, diagnostic centers and research centers. Without taking advantage of AI, radiation therapy can only be delivered uniformly, which is not able to reflect differences in patient-specific factors, such as individual tumor characteristics, which may affect treatment success. . This disadvantage is one of the major factors driving the growth of the AI ​​in radiation assay market. The AI ​​framework takes into account the variability that can reduce the likelihood of treatment failure to less than 5% through personalized radiation doses. It helps physicians develop personalized, data-driven regimens that can maximize the likelihood of treatment success and lessen radiation side effects for patients. This approach should greatly benefit the field of radiotherapy with advanced dose optimization capabilities.

The development of AI in radiation dosing is encouraging not only because it uses medical images to inform radiation dose prescriptions, but it also has the potential to strengthen holistic patient care. It offers the ability to individualize multiple cancer therapies and is considered a leap forward in precision radiation medicine. For example, Guerbet LLC, a French manufacturer of contrast agents, has entered into a commercial partnership with Imalogix. The business partnership aims to identify areas of impact care delivery by combining the cloud-based human and machine intelligence capabilities of Imalogix with Guerbet’s capabilities in diagnostic and interventional imaging. AI in radiation dosing solves an important problem for patients undergoing CT scans. In recent years, companies have made significant efforts to alleviate concerns about patient exposure to x-rays associated with widely used CT scans. Machine learning and deep learning techniques have the ability to enable a low dose of radiation while producing better quality scans compared to traditional reconstruction techniques.

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The report provides both qualitative and quantitative research on AI in Radiation Assay market along with comprehensive information and preferred development method adopted by major competitors. The report also offers in-depth research on the major players in this market and details on the competitiveness of these players. The key business strategies such as mergers and acquisitions (M&A), affiliations, collaborations and contracts adopted by these major market players are also recognized and analyzed in the report. For each company, the report studies their global presence, competitors, service offerings, specifications, prices and gross margin.

Impact of COVID-19:

This study presents insights into COVID-19 in consumer behavior and changes in demand, purchasing patterns, supply chain reorganization, dynamics of market forces, and substantial government involvement. The new research provides information, analysis, estimates and forecasts in light of the effect of COVID-19 on the markets.

Reasons to buy the report:

  • The study details the Artificial Intelligence in Radiation Assay market with a detailed market breakdown in terms of volume, size and value across all sectors.
  • A full breakdown of the Artificial Intelligence in Radiation Assay market supported by charts, pie charts and numbers makes it easy to understand.
  • A projected forecast of the Artificial Intelligence in Radiation Assay market is expected to be retrieved from real-time data points which is a compilation from 2016 to present.

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AI in the radiation assay market:

By type of modalities

    • CT scan
    • (TDM) Scan
    • MRI
    • Mammography
    • x-ray
    • Ultrasound
    • Others

By end user

    • Hospitals
    • Diagnostic center
    • Medical institutions
    • Other medical groups

By geography

    • North America
      • we
      • Canada
      • Mexico
      • Rest of North America
    • Europe
      • France
      • Great Britain
      • Spain
      • Germany
      • Italy
      • Nordic countries
      • Benelux Union
      • The rest of europe
    • Asia Pacific
      • China
      • Japan
      • India
      • New Zealand
      • Australia
      • South Korea
      • South East Asia
        • Indonesia
        • Thailand
        • Malaysia
        • Singapore
        • Rest of Southeast Asia
      • Rest of Asia-Pacific
    • Middle East and Africa
      • Saudi Arabia
      • United Arab Emirates
      • Egypt
      • Kuwait
      • South Africa
      • Rest of the Middle East and Africa
    • Latin America
      • Argentina
      • Brazil
      • Rest of Latin America

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