Search Tag: GPT-4
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