Search Tag: Error Detection

2025 10 Mar

  The accuracy of radiology reports is critical to ensuring effective patient care, but the process of proofreading these reports is both time-intensive and prone to human error. Large language models (LLMs) offer a potential solution by automating the detection of common errors. While closed-source LLMs such as GPT-4 have demonstrated strong performance,...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