According to FutureWise analysis the market for Artificial Intelligence in Digital Pathology in 2023 is US$ 0.33 billion, and is expected to reach US$ 1.17 billion by 2031 at a CAGR of 17%.

Digital Pathology is the process of turning pathology work into digital formats. It involves collecting, managing, sharing, and interpreting information from digitized slides of specimens. This field utilizes Whole Slide Imaging (WSI), also known as Virtual Microscopy, which converts traditional microscope slides into digital images. These images are easier to analyze, manage, and share thanks to Whole-Slide Scanners. A Whole-Slide Scanner is a specialized type of microscope that captures these images using a built-in camera. Digitizing slides enhances analysis, reduces errors, provides clearer and larger views, enables slides to be shared over a network, facilitates remote diagnosis, supports teleconsultation, and aids online education.

Artificial Intelligence (AI) refers to the ability of machines to operate in specific environments and achieve goals. This technology is slowly being used in Digital Pathology. Combining AI with digital pathology can create advanced tools for image-based diagnosis. With AI, we can develop intelligent programs that recognize patterns, enabling reliable predictions about patient diseases and potential outcomes. This brings new hope and better care in pathology.

The combination of AI and digital pathology also enhances efficiency, accelerates results, and reduces manual errors. AI tools in digital pathology can offer a significant improvement over traditional molecular and genomic tests, which are the primary methods used to predict cancer recurrence and treatment response. Traditional methods often require a significant amount of time and can lead to errors. In contrast, AI-based pathology utilizes automated tools to deliver faster results and minimize errors through software quality control. It also encourages a more collaborative approach.

FutureWise Market Research has published a report that provides an insightful analysis of Artificial Intelligence in Digital Pathology Market trends affecting overall market growth.

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Artificial Intelligence in Digital Pathology Market Segmentation:

By Neural Network Type

  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Generative Adversarial Networks
  • MVPNet
  • Reinforced Auto Zoom Net

By Product

  • Scanners
  • Software
  • Communication Systems
  • Storage Systems

By Type

  • Human Pathology
  • Veterinary Pathology

By Application

  • Teleconsultation
  • Disease Diagnosis
  • Drug Discovery
  • Training and Education

By End User

  • Pharmaceutical and Biotechnology Companies
  • Hospitals and Reference Laboratories
  • Academic and Research Institutes

By Region

  • North America
  • Latin America
  • Europe
  • Asia-Pacific
  • Middle East and Africa

Competitive Landscape in the Artificial Intelligence in Digital Pathology Market:

  • Roche
  • Leica Biosystems
  • Hamamatsu Photonics
  • Koninklijke Philips
  • 3D Hsitech
  • Apollo Enterprises Imaging
  • Xifin
  • Huron Digital Pathology
  • Vision pharm
  • Corista
  • Indica Labs
  • Objective Pathology Services

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**Objectives of this Study: **

  1. To provide a comprehensive analysis of the Artificial Intelligence in Digital Pathology Market By Neural Network Type, By Product, By Type, By Application, By End User and By Region.
  2. To offer detailed insights into factors such as drivers, restraints, trends, and opportunities, as well as segmental and regional influences on market growth.
  3. To evaluate current market trends and forecast micro-markets, presenting overall market projections in the form of data sets and PowerPoint presentations.
  4. To predict the market size in key regions, including North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.

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Related Link - https://www.pharmiweb.com/article/ai-driven-pathology-revolutionizing-diagnostics-in-the-digital-era