神經影像技術的進步和增長機會

這份報告探討了神經影像行業，預測了未來五年 MRI 和 CT 在診斷影像和治療計劃方面的發展，以及這些新興技術在個性化醫療和精準神經病學方面的潛力。我們提供有關影響的信息

內容

戰略要務

• 為什麼越來越難成長？
• 戰略要務 8 (TM)
• 三大戰略要務對神經影像學行業的影響
• 增長機會推動增長 Pipeline Engine(TM)
• 調查方法

增長機會分析

• 神經影像學的挑戰
• 細分
• 分析範圍
• 增長動力
• 抑制增長的因素

新興 MRI 技術：行業評估

• 新的 MRI 模式和機制
• 主要 MRI 公司及其技術的說明

新興 CT 技術：行業評估

• 新的 CT 模式和機制
• 主要 CT 公司及其技術的說明

數字 (AI/ML) 在神經影像學中的作用

• AI 有助於檢測、診斷、預測和工作流管理
• 影響神經影像學行業的 AI 技術概覽
• AI 可實現 MRI 成像中的個性化診斷和預測
• AI 可在 CT 成像中實現更準確、更快速的診斷

創新生態系統

• 合作開發基於 AI 的平台以提高技術能力
• 神經影像學領域的大量資金推動創新和發展
• 神經影像學 MRI 專利數據庫分析
• 神經影像學 CT 專利數據庫分析

成長機會

• 增長機會 1：圖像質量的演變
• 增長機會 2：以患者為中心的 CT 創新
• 增長機會 3：神經影像學作為神經營銷和睡眠剝奪管理的一種服務

附錄

下一步

Innovation in MRI, CT Imaging Techniques and Integration of AI Making Neuroimaging More Patient-centric, and Personalized

The neuroimaging industry is dynamic, constantly looking for novel approaches to identify and cure complex neurological disorders. Emerging MRI and CT technologies have helped address the challenges in neuroimaging, such as limited spatiotemporal resolution, cost and accessibility, and patient safety.

This study examines emerging technologies, such as magnetic resonance fingerprinting (MRF), magnetic particle imaging (MPI), positron emission tomography-MR imaging (PET-MRI), silent ZTE (Zero Echo Time) MRI, photon-counting computerized tomography (PCCT), PET-CT, bedside CT, dual-energy CT, and AI-based MRI and CT technologies. Additionally, the study explores the potential benefits and outcomes of partnerships between top-tier neuroimaging companies and predictive AI startups, highlighting stakeholders in the competitive industry.

The study predicts the evolution of MRI and CT across diagnostic imaging and treatment planning in the next five years; and it explores the potential impact of these emerging technologies on personalized medicine and precision neurology. These advancements can potentially transform the diagnosis and treatment of neurological disorders. Finally, this Frost & Sullivan study suggests the growth opportunities in early-stage MRI and CT with the expanding applications of Neuroimaging-as-a-Service (NaaS) in neuromarketing and sleep deprivation management.

Table of Contents

Strategic Imperatives

• Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth
• The Strategic Imperative 8™
• The Impact of the Top 3 Strategic Imperatives on the Neuroimaging Industry
• Growth Opportunities Fuel the Growth Pipeline Engine™
• Research Methodology

Growth Opportunity Analysis

• Neuroimaging Challenges
• Segmentation
• Scope of Analysis
• Growth Drivers
• Growth Restraints

Emerging MRI Technologies: Industry Assessment

• Emerging MRI Modalities and Mechanisms
• Key MRI Companies and Their Technology Descriptions

Emerging CT Technologies: Industry Assessment

• Emerging CT Modalities and Mechanisms
• Key CT Companies and Their Technology Descriptions

Role of Digital (AI/ML) in Neuroimaging

• AI Helps in Detection, Diagnosis, Prediction, and Workflow Management
• A Snapshot of AI-based Technologies Impacting the Neuroimaging Industry
• AI Enables Personalized Diagnosis and Prediction in MRI Imaging
• AI Enables More Accurate and Faster Diagnosis in CT Imaging

Innovation Ecosystem

• Collaborations to Develop AI-based Platforms for Improved Technology Capabilities
• Significant Funding in the Neuroimaging Field Drives Innovation and Growth
• Patent Database Analysis for MRI in Neuroimaging
• Patent Database Analysis for CT in Neuroimaging

Growth Opportunity Universe

• Growth Opportunity 1: Advancing Image Quality
• Growth Opportunity 2: Patient-Centric CT Innovation
• Growth Opportunity 3: Neuroimaging-as-a-Service for Neuromarketing and Sleep Deprivation Management

Appendix

• Technology Readiness Levels (TRL): Explanation

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