Search Tag: natural language processing
2024 30 Nov
Natural Language Processing (NLP) is profoundly transforming healthcare by addressing the challenge of managing vast amounts of unstructured data generated in clinical settings. From electronic health records (EHRs) to clinician notes, unstructured data often remains untapped despite its potential to enhance patient outcomes and operational efficiency....Read more
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
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
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
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
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
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
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