FAU own research funding: EFI / IZKF / EAM ...
Start date : 15.01.2024
End date : 14.01.2025
Advancements in Artificial Intelligence (AI) methods have enabled the
development of Large Language Models (LLMs) capable of generating information
from user instructions and supporting various tasks in education, research,
healthcare, and others. AI has also impacted the field of medical imaging with
several deep learning models capable of achieving expert-level performance
across different tasks, e.g., detection, segmentation, and assisted clinical
diagnosis. In addition, open-source Automatic Speech Recognition (ASR) systems
can be incorporated as modules in AI-based systems. This proposed funded
project aims to combine LLMs, medical imaging, and speech recognition using AI
methods to generate high-quality radiology reports from chest X-ray images.
Advancements in Artificial Intelligence (AI) methods have enabled the
development of Large Language Models (LLMs) capable of generating information
from user instructions and supporting various tasks in education, research,
healthcare, and others. AI has also impacted the field of medical imaging with
several deep learning models capable of achieving expert-level performance
across different tasks, e.g., detection, segmentation, and assisted clinical
diagnosis. In addition, open-source Automatic Speech Recognition (ASR) systems
can be incorporated as modules in AI-based systems. This proposed funded
project aims to combine LLMs, medical imaging, and speech recognition using AI
methods to generate high-quality radiology reports from chest X-ray images.