Search Tag: natural language processing

IT Management


2023 12 Oct

As we step into the futuristic landscape of 2023, the healthcare sector is buzzing with the melody of Artificial Intelligence (AI). This melody harmonizes with the rhythm of Machine Learning (ML) and the lyrics of Natural Language Processing (NLP), orchestrating a healthcare revolution that's nothing short of a masterpiece. Here's a look at how these...Read more

IMAGING Management


2021 23 Sep

An automated detection method can help clinicians identify overlooked actionable findings in radiology reports and avoid costly delays to patient care. Therefore, one University of Tokyo research team recently assessed four methods for flagging “actionable” results from free-text in reports from their radiology department. Their analysis compared...Read more

Executive Health Management


2020 09 Mar

Summary: Nephrology researchers show how natural language processing can enable a more efficient and effective use of the vast amount of healthcare big data. The daily activity in the medical field generates a multitude of data from clinical records and reports, collected from anamnesis and physical examination, laboratory and other tests,...Read more

Executive Health Management


2019 26 Aug

Summary: Combine the characteristic of our engagement with social media with existing technology and how we could improve patient compliance in the not so distant future.   Patient treatment compliance is a significant barrier and a challenge for healthcare professionals the world over. While several studies have been conducted leading to...Read more

IMAGING Management


2019 23 Jan

Chest X-rays are the routine 'go-to' test used as the first step in medical protocols to help diagnose multiple issues affecting the lungs, heart, bones and soft tissues. Chest X-rays comprise close to 50 percent of all diagnostic medical imaging performed globally. Consequently, the enormity of volume of these exams creates significant backlogs at...Read more

IMAGING Management


2018 27 Feb

A recent study evaluated the performance of a deep learning convolutional neural network (CNN) model compared with a traditional natural language processing (NLP) model in extracting pulmonary embolism (PE) findings from thoracic computed tomography (CT) reports from two institutions. The findings show that the new CNN model can classify radiology...Read more