Global Artificial Intelligence in Medical Diagnostics Patent Landscape Report 2024

Patent Landscape Report Coverage

The Global Artificial Intelligence in Medical Diagnostics Patent Landscape Report provides a comprehensive and in-depth analysis of the patents in this growing industry. The key sections captured in the report for global Artificial Intelligence in Medical Diagnostics includes a thorough examination of the patent portfolios of key players, covering aspects such as the number of patents and types of technologies patented. It includes the latest trends, geographical distribution of patents, top IP player profiles, technological segmentation, and patent valuation. The breakdown of patents by technical segments is provided, giving more clarity on the specific areas of innovation within artificial intelligence in medical diagnostics technologies.

Machine Learning (ML) algorithms are trained on massive datasets to find trends and forecast future events. Machine learning models are increasingly used in medical diagnostics to help diagnose diseases by analyzing imaging data, patient records, and lab results. Therefore, such technical innovations are expected to have a significant impact on the patent landscape.

Global Artificial Intelligence in Medical Diagnostics Patent Outlook

• Artificial intelligence (Ai) is being popularly used in medical diagnostics because of the increased prevalence of chronic diseases like cardiovascular disorders, cancer, and diabetes, which need sophisticated diagnostic tools.

• Large datasets can be analyzed using AI to customize treatments for individual patients, improving results and increasing demand for AI-based diagnostic tools, hence, increasing the demand for personalized medicines.

• AI is widely used in diagnostics to increase efficiency and lower healthcare costs while upholding high standards of care, which is driving the market demand and hence expands the scope of this market.

Artificial Intelligence in Medical Diagnostics: Introduction

Artificial intelligence in medical diagnostics refers to the process of analyzing medical data to diagnose illnesses and conditions using cutting-edge AI technologies like machine learning and deep learning. It can majorly help in interpreting medical images, reviewing patient records, and forecasting disease outcomes. Artificial intelligence (AI) systems also increase diagnostic accuracy, efficiency, and speed. These innovations enable personalized medicine and help medical professionals make better decisions.

Artificial intelligence in the medical diagnostics market continues to evolve, driven by the lack of radiologists and other diagnostic specialists in the world. This makes artificial intelligence an alluring replacement to help with clinical decision-making. Also, the adoption of advanced diagnostic technologies is being aided by investments in healthcare infrastructure, especially in developing regions is a driving factor to boost market value in the forecast period.

Artificial Intelligence in Medical Diagnostics Industry Growth Drivers

Technological Advancements in Artificial Intelligence is Expected to Boost the Market Growth

The efficiency and accuracy of diagnosis is greatly improved by advances in AI technologies. The medical diagnostics market adopts diagnostic tools more widely because of these advancements that increase their effectiveness, improving patient outcomes and fueling market growth.

For instance, in July 2021, the AlphaFold Protein Structure Database was released as a collaborative project between EMBL-EBI and AlphaFold. Approximately 365,000 proteins, or nearly the entire UniProt proteome of humans and 20 model organisms were predicted through the AlphaFold protein structure models after its launch. The introduction of such new tools and enhanced products in the market influences the patent landscape as researchers and companies take effective measures to secure patents and protect their innovations.

Growing Demand for Personalized Medicine is Expected to Propel the Artificial Intelligence in Medical Diagnostics Industry Growth

AI is being used in medical diagnostics due to the growing demand for customized treatment regimens. The transition to more efficient, individualized healthcare solutions is supported by its capacity to evaluate massive datasets and offer customized diagnostic insights. Increased application of artificial intelligence is expected to boost the number of patent applications in the coming years.

Global Artificial Intelligence in Medical Diagnostics Patent Segmentation

The report provides an in-depth analysis of the patents in this field by the following segmentation -

Breakup by Type

• Software

• Services

Breakup by Application

• Neurology

• Radiology

• Oncology

• Others

Artificial Intelligence in Medical Diagnostics Patent Segmentation Analysis

The breakup based on type includes software and services. Artificial intelligence in medical diagnostics investigations has been conducted with the chosen patent families labelled based on the types to which they pertain. Big data analytics in medical diagnostics, processing and analysing large amounts of data is essential. To support diagnostic decisions, big data analytics allows the integration and analysis of various data sources, such as patient histories, genomic data, and real-time monitoring data.

The detailed technological data will be provided for all specified segments classified in this report.

Artificial Intelligence in Medical Diagnostics Patent Jurisdiction Analysis

The United States is one of the leading jurisdictions for artificial intelligence in medical diagnostics patents, having around 24,500 patents. The presence of a well-established healthcare infrastructure, a robust legal framework and prominent research institutions engaged in innovations contributes to the patent landscape significantly.

In the Asia-Pacific, China is another vital jurisdiction and is witnessing rapid growth in patent filings. The expanding healthcare landscape in the region contributes to the evolving research capabilities, thereby influencing a surge in patent applications.

Patent Profile of Key Companies

Among the players with artificial intelligence in medical diagnostics patent families, new entrants have been identified, which can be either established companies or startups developing their first technology in the field. Some of the major companies mentioned in this report (a non-exhaustive list) are as follows:

IBM Corp.

IBM Corp. improves medical diagnostics with cutting-edge AI technologies through its Watson Health division. The business's AI-powered systems examine enormous datasets, such as genetic and medical records, to produce accurate diagnosis insights and tailored treatment recommendations that enhance patient outcomes.

Nvidia Corp

A well-known tech business with a focus on AI computing and GPU production. Nvidia's AI platforms and potent G...

*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*

Other companies include LG Corp., Koninklijke Philips Nv, Qualcomm Inc., Siemens Healthcare Gmbh, Qualcomm Inc., Strong Force Iot Portfolio 2016 LLC, Cilag Gmbh Int, Ethicon LLC, Gen Electric, Kpn Innovations LLC, Ge Prec Healthcare LLC, Tran Bao, Yue Henry, Baughn Mariah R, Genaissance Pharmaceuticals, Paige Ai INC, Tang Y Tom, Medtronic INC, Rom Tech INC, Tempus Labs INC, Ubiome INC, Univ Johns Hopkins, Yao Monique G, Incyte Genomics INC, Univ California, Flextronics Ap LLC, Lu Dyung Aina M, Elliott Vicki S, Gandhi Ameena R, Hello INC, Strong Force Tx Portfolio 2018 LLC, Lal Preeti G, Hafalia April J A, Verint Americas INC, Chawla Narinder K, Gecko Robotics INC, Ramkumar Jayalaxmi, Dexcom INC, Intuitive Surgical Operations, Intel Corp, Automotive Tech Int, Lu Yan, Nguyen Danniel B, Ericsson Telefon Ab L M among others.

Reasons to Purchase this Report

The Global Artificial Intelligence in Medical Diagnostics Patent Report provides information on the intellectual property (IP) position and strategy of key players. This report can help companies and players looking to enter or invest in this field by:

• Competitive Advantage: The landscape reveals the market leaders, potential partners and innovators and also makes it understandable which companies have important patents in this field of Artificial Intelligence in Medical Diagnostics.

• Innovation Insights: The patent analysis reveals new innovations and technologies in artificial intelligence in medical diagnostics industry.

• Market Positioning: Companies with strong patent portfolios gain a competitive advantage because their intellectual property assets differentiate their products. Understanding their intellectual property strategy reveals the market position of new entrants and potential barriers to entry.

• Risk Assessment: In technology-intensive fields such as pumps for microfluidic devices, risks of IP infringement are common. Analysing patent landscapes helps companies assess risk, develop mitigation strategies, and inform licensing, partnering, and acquisition decisions.

• Legal and Regulatory Compliance: Understanding the patent landscape is critical to ensuring compliance with patent laws and regulations. It helps stakeholders navigate license agreements, avoid infringement lawsuits, and effectively use IP assets in a global marketplace.

Key Questions Answered in the Global Artificial Intelligence in Medical Diagnostics Patent Landscape Report

• Who are the key players in the artificial intelligence in medical diagnostics patent landscape?
• How is the patent portfolio distributed geographically?
• What are the emerging trends in artificial intelligence in medical diagnostics patents?
• How has the patent landscape evolved over time?
• What are the strategic insights for market players and investors?
• What is the technological focus of patents in artificial intelligence in medical diagnostics industry?
• How do patent strategies impact competitive advantage?
• What are the implications of patent filings in artificial intelligence in medical diagnostics?
• What are the challenges and opportunities in artificial intelligence in medical diagnostics patent landscape?
• What are the regulatory and legal considerations?
• What technological innovations have recently emerged in artificial intelligence in medical diagnostics?

Related Report

Global Artificial Intelligence Market

Global Artificial Intelligence in Life Sciences Market

Global Artificial Intelligence (AI) Chip Market

Global Artificial Intelligence (AI) in Precision Medicine Market

Saudi Arabia Big Data and Artificial Intelligence Market