PACS AI-Integration for Medical Training Simulators
Budget: £1,500 – £3,000 GBP
My PhD project focuses on integrating Artificial Intelligence (AI) into Picture Archiving and Communication Systems (PACS), specifically by developing AI-powered trainer simulators to assist medical professionals in improving their diagnostic skills. PACS systems are used to store and share medical images, such as X-rays, MRIs, and CT scans, which are crucial for accurate diagnoses. However, interpreting these images can be complex, and medical professionals need continuous training to enhance their expertise.
my project aims to design AI-driven simulators that offer realistic, interactive training scenarios for radiology technologists, doctors and administrators. These simulators will use real patient data, while ensuring privacy, to simulate clinical cases. AI will assist users by providing feedback, highlighting patterns, and identifying potential abnormalities.
I will utilize existing platforms for example Dicoogle, which is an open-source medical imaging software, to integrate AI tools into the simulators. By interviewing radiology technologists, doctors and administrators I will gather valuable insights to ensure the simulators meet their needs and address real-world challenges in medical imaging and training.
The expected outcome is to enhance medical training, and support better patient outcomes by providing healthcare professionals with advanced AI tools for learning and skill development.
my project aims to design AI-driven simulators that offer realistic, interactive training scenarios for radiology technologists, doctors and administrators. These simulators will use real patient data, while ensuring privacy, to simulate clinical cases. AI will assist users by providing feedback, highlighting patterns, and identifying potential abnormalities.
I will utilize existing platforms for example Dicoogle, which is an open-source medical imaging software, to integrate AI tools into the simulators. By interviewing radiology technologists, doctors and administrators I will gather valuable insights to ensure the simulators meet their needs and address real-world challenges in medical imaging and training.
The expected outcome is to enhance medical training, and support better patient outcomes by providing healthcare professionals with advanced AI tools for learning and skill development.