Search Tag: GPT-4

2025 24 Apr

  Accurate and timely interpretation of radiology reports is critical for monitoring cancer progression and informing treatment decisions. However, the free-text nature and variability of these reports often pose challenges for oncologists, especially when dealing with large volumes of patient data. Recent advancements in artificial intelligenc1Read more

2025 24 Apr

  Accurate and timely interpretation of radiology reports is critical for monitoring cancer progression and informing treatment decisions. However, the free-text nature and variability of these reports often pose challenges for oncologists, especially when dealing with large volumes of patient data. Recent advancements in artificial intelligenc1Read more

2025 08 Feb

The increasing workload of radiologists has significantly contributed to a rise in reporting errors, posing risks to patient care and diagnostic accuracy. The process of generating radiology reports consists of detecting abnormalities in images and documenting these findings accurately. Errors can occur at both stages, with some resulting from m1Read more

2025 08 Feb

The increasing workload of radiologists has significantly contributed to a rise in reporting errors, posing risks to patient care and diagnostic accuracy. The process of generating radiology reports consists of detecting abnormalities in images and documenting these findings accurately. Errors can occur at both stages, with some resulting from m1Read 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 req1Read more

2024 01 Aug

  Extracting clinical phenotypes from electronic health records (EHRs) is an essential yet challenging task in healthcare informatics. This process involves identifying specific medical information such as disease stages, treatment modalities, and instances of recurrence. Accurate extraction of these phenotypes, particularly in complex condition1Read more

2024 01 Aug

  Extracting clinical phenotypes from electronic health records (EHRs) is an essential yet challenging task in healthcare informatics. This process involves identifying specific medical information such as disease stages, treatment modalities, and instances of recurrence. Accurate extraction of these phenotypes, particularly in complex condition1Read more

2024 01 Aug

  Extracting clinical phenotypes from electronic health records (EHRs) is an essential yet challenging task in healthcare informatics. This process involves identifying specific medical information such as disease stages, treatment modalities, and instances of recurrence. Accurate extraction of these phenotypes, particularly in complex condition1Read more

2024 31 Jul

  Glioblastoma, known for its aggressive nature and complex pathology, requires meticulous monitoring and documentation for effective treatment management. This disease's complexity necessitates detailed reports encompassing histopathologic and molecular diagnoses, imaging findings, and treatment histories. However, the volume and intricacy of t1Read more

2024 23 May

  OpenAI’s ChatGPT, powered by generative pretrained transformer language models, has shown promise in various fields, including medicine and radiology, despite its default version not being fine-tuned for specific domains. Studies have demonstrated its potential in assisting with decision-making, protocol creation, and patient inquiries. Howeve1Read more

2024 23 May

  OpenAI’s ChatGPT, powered by generative pretrained transformer language models, has shown promise in various fields, including medicine and radiology, despite its default version not being fine-tuned for specific domains. Studies have demonstrated its potential in assisting with decision-making, protocol creation, and patient inquiries. Howeve1Read more

2024 23 May

  OpenAI’s ChatGPT, powered by generative pretrained transformer language models, has shown promise in various fields, including medicine and radiology, despite its default version not being fine-tuned for specific domains. Studies have demonstrated its potential in assisting with decision-making, protocol creation, and patient inquiries. Howeve1Read 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 th1Read 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 th1Read 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 th1Read 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 th1Read 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 1Read 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 1Read more