Global Report on Artificial Intelligence in the Healthcare Intellectual Property Landscape 2022 –

DUBLIN–(BUSINESS WIRE)–The report “Artificial Intelligence in Healthcare: Intellectual Property Landscape” has been added to from offer.

This report presents an in-depth study of the historic and current collection of issued patents, patent applications, and related documents associated with the upcoming suite of intuitive software and automation solutions, designed for use in the healthcare industry.

The information in this report has been presented through two deliverables, namely an Excel sheet, featuring an interactive dashboard, and a PowerPoint presentation, summarizing ongoing activity in this area, and key insights drawn from available data. .

The global healthcare industry has been openly reluctant to embrace the technology. This may in part be due to the failure of early digitization efforts, which were fraught with pitfalls and proved to be more of a liability than a way forward. In fact, according to one study, clinicians ended up spending more than twice as much time on administrative tasks (49%), like updating electronic medical records, as they did seeing patients (27%). Modern healthcare service delivery is therefore still obsolete in many ways, relying on analog systems and manual execution of simple and repetitive operations.

This is difficult for both health care providers (resulting in long and arduous working hours, causing medical staff burnout) and consumers (resulting in rushed and inappropriate diagnosis, lack of appropriate care and delays in administering treatment). Moreover, experts have predicted that if things do not change significantly, there will likely be a severe shortage of healthcare workers in the medium to long term.

Similar inefficiencies also exist in the pharmaceutical development segment, with over $800 million spent on drug discovery alone; a typical product development cycle in this area lasts nearly a decade and costs an average of $2.5 billion. However, advances in automation and intuitive software have enabled stakeholders to significantly improve operational efficiency and reduce operational and administrative expenses.

Today, self-learning algorithms are being used to develop AI that can not only help automate various simple and complex tasks, but can also help clinicians make critical diagnostic/treatment decisions. It is estimated that more than 33% of the tasks performed manually by clinicians can be automated, and there are artificially intelligent solutions capable of performing specialized functions, such as patient triage, without human supervision.

Over the past two decades, computer scientists and medical researchers have successfully demonstrated the applications of AI in several diverse aspects of healthcare delivery, including (but not limited to) surgery, drug discovery and hospital/patient data management. The use of self-improving algorithms also guarantees cost savings; experts estimate that savings worth more than $150 billion can be realized by 2026 from the adoption of AI-based technologies in the United States alone. As a result, a lot of capital and effort is being invested by innovators around the world in this burgeoning field of research. This report attempts to identify key trends that describe the pace and direction of innovation related to healthcare-focused AI technologies and solutions.

Companies cited

  • 20/20 GeneSystems

  • 23andme

  • 360 knee systems

  • 3D smile

  • 3M

  • 3SI security systems

  • 410Ai

  • 7D surgery

  • Aarhus University

  • Abbott

  • Abiomed

  • Abraxis Biosciences

  • Accenture

  • Access Radiology

  • Accessible advice

  • acto

  • Acupath Laboratories

  • Development of advanced medical imaging

  • Advanced mobile payment

  • Advanced neuromodulation systems

  • Advanced Solutions Life Sciences

  • AdviNOW Medical

  • Advisory Board

  • AetharAI

  • Affymetrix

  • Agency for Science, Technology and Research

  • AgilentTechnologies

  • Capital Agility

  • Agios Pharmaceuticals

  • Agricultural Information Institute (AII) of Chinese Academy of Agricultural Sciences

  • AI fluidics

  • AI technology

  • Aidot

  • Aerial products

  • Ajinomoto

  • Akili Biosystems

  • Akili Interactive

  • Akita

  • Aktan

  • AlayaCare

  • Alcaris Theranostic

  • Alegeus

  • Algotec

  • Alibaba Group

  • Alignment Technology

  • And many other companies!

For more information about this report visit

Comments are closed.