Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape

Cancers

Nishant Thakur¹  Chan Kwon Jung¹  Muhammad Joan Ailia¹  Kwangil Yim¹  Yosep Chong¹  Jamshid Abdul-Ghafar¹ 

[1] Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;

关键词: artificial intelligence;    deep learning;    digital pathology;    intellectual property;    patents;   

DOI  :  10.3390/cancers14102400

来源: DOAJ

【 摘 要 】

The integration of digital pathology (DP) with artificial intelligence (AI) enables faster, more accurate, and thorough diagnoses, leading to more precise personalized treatment. As technology is advancing rapidly, it is critical to understand the current state of AI applications in DP. Therefore, a patent analysis of AI in DP is required to assess the application and publication trends, major assignees, and leaders in the field. We searched five major patent databases, namely, those of the USPTO, EPO, KIPO, JPO, and CNIPA, from 1974 to 2021, using keywords such as DP, AI, machine learning, and deep learning. We discovered 6284 patents, 523 of which were used for trend analyses on time series, international distribution, top assignees; word cloud analysis; and subject category analyses. Patent filing and publication have increased exponentially over the past five years. The United States has published the most patents, followed by China and South Korea (248, 117, and 48, respectively). The top assignees were Paige.AI, Inc. (New York City, NY, USA) and Siemens, Inc. (Munich, Germany) The primary areas were whole-slide imaging, segmentation, classification, and detection. Based on these findings, we expect a surge in DP and AI patent applications focusing on the digitalization of pathological images and AI technologies that support the vital role of pathologists.

【 授权许可】

Unknown