Search Tag: Radiology reports
2025 09 Jun
Radiology and pathology reports are central to clinical decision-making and research, yet their unstructured format often hinders automated data analysis. While previous natural language processing techniques have demonstrated some potential in extracting information, they often suffer from limited generalisability, high computational costs and...Read more
2025 17 Apr
Retrieving structured information from radiology reports remains a major challenge within clinical and research settings. Traditional keyword-based systems, despite widespread use, often fail to capture the underlying clinical meaning due to their reliance on superficial lexical matches. These limitations affect radiologists attempting to locate...Read more
2025 03 Mar
Predicting mortality in intensive care units (ICUs) is critical for effective patient management and resource allocation. Traditional predictive scoring systems, such as the Simplified Acute Physiology Score (SAPS) II, rely on structured clinical data from electronic health records (EHRs). However, these models often fail to incorporate valuable...Read more
2024 10 Nov
Advancements in large language models (LLMs) have unlocked significant potential across numerous domains, including medical applications. Transforming unstructured radiology reports into structured data is crucial for retrospective analysis, quality management and artificial intelligence model training. However, achieving this efficiently requires...Read more
2024 06 Jun
RadiologyInfo.org, a premier source of medical imaging information for the general public, has unveiled a new series of articles and videos aimed at demystifying patient radiology exam reports. This initiative is particularly timely, as the reports, often laden with complex medical jargon, can be a significant source of anxiety for individuals...Read more
2024 02 May
Generative pre-trained transformer (ChatGPT), developed by OpenAI, is an advanced web-based chatbot utilising a large language model (LLM) AI. Trained extensively on vast text datasets, it excels in understanding and generating human-like responses, primarily in English. Initially released as ChatGPTv3.5 in November 2022 and updated to ChatGPTv4...Read more
2024 25 Apr
The use of mechanical thrombectomy for acute ischemic stroke, especially in cases of large vessel occlusion, has become standard practice. This procedure involves various key metrics such as time intervals, imaging scores, and the number of manoeuvres performed, which are crucial for research and quality control. Traditionally, extracting this...Read more
2024 25 Apr
The use of mechanical thrombectomy for acute ischemic stroke, especially in cases of large vessel occlusion, has become standard practice. This procedure involves various key metrics such as time intervals, imaging scores, and the number of manoeuvres performed, which are crucial for research and quality control. Traditionally, extracting this...Read more
2024 25 Apr
The use of mechanical thrombectomy for acute ischemic stroke, especially in cases of large vessel occlusion, has become standard practice. This procedure involves various key metrics such as time intervals, imaging scores, and the number of manoeuvres performed, which are crucial for research and quality control. Traditionally, extracting this...Read more
2024 25 Apr
The use of mechanical thrombectomy for acute ischemic stroke, especially in cases of large vessel occlusion, has become standard practice. This procedure involves various key metrics such as time intervals, imaging scores, and the number of manoeuvres performed, which are crucial for research and quality control. Traditionally, extracting this...Read more
2024 18 Apr
GPT-4, developed by OpenAI, has shown promising potential in addressing challenges faced in radiology, particularly in detecting errors in radiology reports. These reports are crucial for accurate diagnosis and treatment planning but are prone to errors due to various factors like high workload and unreliable speech recognition. Common errors include...Read more
2024 18 Apr
GPT-4, developed by OpenAI, has shown promising potential in addressing challenges faced in radiology, particularly in detecting errors in radiology reports. These reports are crucial for accurate diagnosis and treatment planning but are prone to errors due to various factors like high workload and unreliable speech recognition. Common errors include...Read more
2024 09 Apr
The 21st Century Cures Act, a landmark legislation signed into law in 2016, aimed to revolutionise healthcare delivery by addressing information blocking and promoting patient-centred care. A crucial aspect of this legislation was ensuring patients' timely access to their electronic health information, including radiology reports. Implemented in...Read more
2024 09 Apr
The 21st Century Cures Act, a landmark legislation signed into law in 2016, aimed to revolutionise healthcare delivery by addressing information blocking and promoting patient-centred care. A crucial aspect of this legislation was ensuring patients' timely access to their electronic health information, including radiology reports. Implemented in...Read more
2023 10 Oct
According to a recent analysis, published in European Radiology, ChatGPT and other large language models could prove useful in rewriting radiology reports that were were factually correct, complete and simplified. To assess the quality of simplified radiology reports, researchers from LMU University Hospital, Germany, tested the performance...Read more
2023 27 Apr
A recent study evaluated the ability of ChatGPT to produce highly rated reports for distal radial fractures. Unfortunately, without a substantial increase in clinical imaging capacity, the growing demand for imaging services will lead to patients enduring longer-than-recommended waiting times, which inevitably leads to worse patient outcomes....Read more
2022 24 Apr
According a study recently published in the American Journal of Roentgenology , adding video into radiology reports improves patient engagement and help patients better understand their medical conditions. Patient-centredness has become an increasingly important priority in healthcare, highlighting the significance of good patient communication. For...Read more
2019 06 Aug
Patients today are taking a more active role in their health, and in response to this, more emphasis is being made to keep the patient at the centre of care. Especially in radiology, more areas of the field are focussing on patient-centred healthcare experiences. Initiatives such as the co-location of radiologists and clinicians and creating easy-to-understand...Read more
2019 07 May
The shift to structured radiology reports has increased report clarity for referring providers and is supported by most radiologists. As the movement for increased transparency in healthcare continues, more and more patients are accessing their imaging reports via patient portals. When radiologists address the clinical question that was posed,...Read more
2018 14 Aug
It is through a radiology report that the radiologist communicates imaging findings and recommendations to the referring clinician. Radiology reports, in addition to being produced quickly, are written following a structured format, i.e., each report contains the same elements in the same places. They also contain all information necessary for...Read more
2018 22 Feb
In a recent study conducted at the Icahn School of Medicine at Mount Sinai in New York, researchers used machine learning (ML) techniques to identify clinical concepts in radiologist reports for CT scans (Zech et al. 2018). These techniques include natural language processing algorithms and demonstrate an important first step in the...Read more
2016 09 Jan
An audit of communication of significant radiology findings reveals wide variation in practice across the UK with regard to the communication and monitoring of radiology reports, with many radiology departments/trusts not fully compliant with published UK guidance. Results of the audit are published in the journal Clinical Radiology . The imaging...Read more
2014 04 Dec
Use colour, avoid all capital letters and be informative, was the message from radiation oncologist Lawrence B. Marks to his diagnostic radiology colleagues. The Annual Oration in Radiation Oncology at the Radiological Society of North America (RSNA) annual meeting, delivered by Marks, Dr. Sidney K. Simon Distinguished Professor of Oncology Research...Read more
2014 03 Dec
Automatically sending clinical data algorithmically generated from the preliminary radiology report has the potential to assist radiologists’ interpretation, improve communication with referring physicians and benefit patient care, according to Anna Ellermeier, MD, radiology resident at Alpert Medical School of Brown University. Ellermeir presented...Read more