Optimizing Communication of Radiation Exposure in Medical Imaging, the Radiologist Challenge

Abstract

Since I started my residency program in Radiology, I have been committed to promoting radiation protection, paying particular attention to the justification and optimization of the examinations [...]

A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges

“…One remarkable application of AI in this realm is the development of large language models, such as ChatGPT, which have gained significant attention for their ability to generate human-like text based on prompts. ChatGPT’s versatile capabilities hold promise for reshaping medical practices, enhancing patient care, and revolutionising the way healthcare professionals interact with both patients and data [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ].…”

“…OpenAI launched in last November 2022 the Chat Generative Pre-trained Transformer (ChatGPT) and revolutionised the approach in artificial intelligence to human–model interaction used for fields [ 4 ]. It was used in all areas: healthcare and management [ 5 , 6 , 7 , 8 , 9 ], aiding cosmetic orthognathic surgery consultation [ 10 ], revolutionising dental practices [ 8 , 11 , 12 ], medical scientific articles and education fields [ 6 , 9 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ], support in disease diagnosis [ 24 ], revolutionising radiology, sonar imaging and writing assessment [ 13 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ], pharmaceutical research and treatment [ 11 , 24 , 34 , 35 , 36 , 37 , 38 ], and navigating limitations and ethical considerations [ 18 , 19 , 31 , 35 , 38 , 39 ,…”

“…The potential of ChatGPT lies in its ability to analyse and generate descriptions for medical images, which can enhance the workflow of radiologists. It has the ability to provide initial observations, which can highlight regions of interest and assist radiologists in their analyses [ 13 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ].…”