Growth Opportunities of Generative AI in Healthcare: Identify the Emerging Gap Areas Being Adopted

Dublin, Jan. 18, 2024 (GLOBE NEWSWIRE) -- The "Growth Opportunities of Generative AI for Healthcare" report has been added to's offering.

This report's scope of analysis for emerging applications is multifaceted and involves considerations across technical, clinical decision support, safety, and economic domains. The primary focus of the study is to identify the emerging gap areas being adopted across the healthcare industry that will surpass conventional care methodologies.

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 revolutionize the field. This creates a promising opportunity for technology developers - such as software companies and startups - in the healthcare industry to center their R&D activities on these emerging technologies for their product development.

With top-tier software companies positioning themselves as technology developers and Gen AI startups focusing on small but crucial aspects toward reducing the clinical burden and providing efficient clinical decision support systems and their collaborations, this study will delve into the potential benefits and outcomes, highlighting prospective and corresponding stakeholders in the competitive industry, and the evolution of generative AI across drugs, diagnostics, and treatment planning in the next five years.

Questions that this report answers:

  • What are the growth drivers and restraints of Gen AI in healthcare?
  • What are the types of models and benefits of Gen AI in drug discovery and development, medical imaging analysis, digital twins, synthetic data, electronic health record management, and virtual assistants?
  • What are the key companies to action in the Gen AI healthcare industry?
  • What are key collaborations and funding in the industry?
  • What are the key Gen AI regulations?

Key Topics Covered:

Strategic Imperatives

  • Why Is It Increasingly Difficult to Grow? The Strategic Imperative: Factors Creating Pressure on Growth
  • The Strategic Imperative
  • The Impact of the Top 3 Strategic Imperatives on the Generative Artificial Intelligence Industry
  • Growth Opportunities Fuel the Growth Pipeline Engine
  • Research Methodology

Growth Opportunity Analysis

  • The Evolution of Gen AI: Then and Now
  • Emerging Roles of Gen AI in Medicine to Incorporate the Multimodal Approach
  • Implementing Multimodal Generative AI on Healthcare Data
  • Various Facets of the Healthcare Industry That Employ Gen AI
  • Applications of Gen AI in Healthcare: Scope
  • Applications of Gen AI in Healthcare: Segmentation
  • Growth Drivers
  • Growth Restraints

Tech Snapshot: Gen AI Applications in Healthcare

  • Gen AI for Drug Discovery and Development
  • Gen AI for Medical Image Analysis
  • Gen AI for Synthetic Data and Digital Twin Creation
  • Gen AI for Managing EHRs and Virtual Assistants
  • Company Insights for Gen AI in Healthcare: A Snapshot
  • Industry Snapshot
  • Gen AI in Healthcare: Tech Adoption versus Tech Maturity

Innovation Ecosystem

  • Collaboration for Developing Gen AI and Cloud Computing Infrastructure
  • Pharmaceutical Companies Significantly Funding Gen AI-based Platform Development for Drug Discovery
  • In-hospital Enterprises Significantly Funding the Emerging Market of Healthcare LLMs
  • Geographical Distribution of Organizations in Healthcare Gen AI
  • Overview of Gen AI Regulations in a Few Prominent Countries

Growth Opportunity Universe

  • Growth Opportunity 1: Lighter Clouds to Implement Gen AI in Real Time
  • Growth Opportunity 2: Synthetic Data Creation for Virtual Clinical Trials
  • Growth Opportunity 3: Healthcare Interoperability Essential to Implement Generative AI

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