Software Technology for Automated generation of medical imaging reports by using fine-grained labels for finding

International Business Machines Corporation (Armonk, NY)

An automated medical imaging report generator can be created using these mechanisms. Machine learning models may be trained to identify the position of labels based on patterns in the image features. The ML computer model generates a prediction of a finding label that is applicable to the medical image that is input by using a finding label prediction output vector. A lookup procedure is carried out using the finding-label prediction output vector to find an exact match within the database of medical reports which contains previously processed medical image report data structures. Based on the natural language content of the matched medical imaging report’s data structure an outgoing medical imaging report for the input image is produced.

The present application is primarily to an improved process for data processing and its method, and in particular to methods for automating the generation of medical imaging reports based on high-quality finding labels.

Modern medical advances are paying great attention to the capabilities of machine learning. This is helping with patterns in medical image analysis. The quality of learning that is able to beperformed by such machine learning is a result of the size of the labels attached to the medical images. Unfortunately, these techniques are currently not supported by any labeling that is coarse-grained.

Click here to view the patent on USPTO website.

 

Get Patents with PatentPC

What is a patent?

How to Search for Patents

• Add keywords to your search. Keyword searches may turn up documents that are not well-categorized or have missed classifications during Step 2. For example, US patent examiners often supplement their classification searches with keyword searches. Think about the use of technical engineering terminology rather than everyday words.
• Search for foreign patents using the CPC classification. Then, re-run the search using international patent office search engines such as Espacenet, the European Patent Office’s worldwide patent publication database of over 130 million patent publications. Other national databases include:
• European Patent Office (EPO) provides esp@cenet to access a network of Europe’s patent databases with access to machine translation of European patents. 
• Japan Patent Office (JPO) – with access to machine translations of Japanese patents.
• World Intellectual Property Organization (WIPO) offers PATENTSCOPE with a full-text search of published international patent applications and machine translations for some documents, as well as a list of international patent databases.
• Korean Intellectual Property Rights Information Service (KIPRIS)
• State Intellectual Property Office (SIPO) with machine translation of Chinese patents.
• Other International Intellectual Property Offices with online patent databases include Australia, Canada, Denmark, Finland, France, Germany, Great Britain, India, Israel, Netherlands, Norway, Sweden, Switzerland, and Taiwan.
• Search non-patent literature. Inventions can be made public in many non-patent publications. It is recommended that you search journals, books, websites, technical catalogs, conference proceedings, and other print and electronic publications.

To review your search, you can hire a registered patent attorney to assist. A preliminary search will help one better prepare to talk about their invention and other related inventions with a professional patent attorney. In addition, the attorney will not spend too much time or money on patenting basics.