> AI has proven to be better at looking at medical image, and in the case of breast cancer seems to out perform humans
FWIW, https://pmc.ncbi.nlm.nih.gov/articles/PMC11073588/ from 2024 Apr 4 ("Revolutionizing Breast Cancer Detection With Artificial Intelligence (AI) in Radiology and Radiation Oncology: A Systematic Review") says:
"Presently, when a pre-selection threshold is established (without the radiologist's involvement), the performance of AI and a radiologist is roughly comparable. However, this threshold may result in the AI missing certain cancers.
To clarify, both the radiologist and the AI system may overlook an equal number of cases in a breast cancer screening population, albeit different ones. Whether this poses a significant problem hinges on the type of breast cancer detected and missed by both parties. Further assessment is imperative to ascertain the long-term implications"
and concludes
"Given the limitations in the literature currently regarding all studies being retrospective, it has not been fully clear whether this system can be beneficial to breast radiologists in a real-time setting. This can only be evaluated by performing a prospective study and seeing in what situations the system works optimally. To truly gauge the system's effectiveness in real-time clinical practice, prospective studies are necessary to address current limitations stemming from retrospective data."
FWIW, https://pmc.ncbi.nlm.nih.gov/articles/PMC11073588/ from 2024 Apr 4 ("Revolutionizing Breast Cancer Detection With Artificial Intelligence (AI) in Radiology and Radiation Oncology: A Systematic Review") says:
"Presently, when a pre-selection threshold is established (without the radiologist's involvement), the performance of AI and a radiologist is roughly comparable. However, this threshold may result in the AI missing certain cancers.
To clarify, both the radiologist and the AI system may overlook an equal number of cases in a breast cancer screening population, albeit different ones. Whether this poses a significant problem hinges on the type of breast cancer detected and missed by both parties. Further assessment is imperative to ascertain the long-term implications"
and concludes
"Given the limitations in the literature currently regarding all studies being retrospective, it has not been fully clear whether this system can be beneficial to breast radiologists in a real-time setting. This can only be evaluated by performing a prospective study and seeing in what situations the system works optimally. To truly gauge the system's effectiveness in real-time clinical practice, prospective studies are necessary to address current limitations stemming from retrospective data."