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The outcomes of a giant survey from a various affected person inhabitants revealed cautious assist for synthetic intelligence (AI) implementation in screening mammography, in response to a examine printed in Radiology: Imaging Most cancers. Private medical historical past and sociodemographic elements influenced respondent’s degree of belief in AI.
Whereas the diagnostic accuracy of AI techniques has drastically improved in recent times, there’s nonetheless a scarcity of widespread adoption and acceptance of this expertise for a wide range of causes, equivalent to issues with information privateness, algorithmic bias and even degree of data of AI.
One opinion that’s continuously ignored within the dialog surrounding the expansion of AI in radiology is that of the affected person.
“Patient perspectives are crucial because successful AI implementation in medical imaging depends on trust and acceptance from those we aim to serve,” mentioned examine creator Basak E. Dogan, M.D., scientific professor of radiology and director of breast imaging analysis on the College of Texas Southwestern Medical Middle in Dallas.
“If patients are hesitant or skeptical about AI’s role in their care, this could impact screening adherence and, consequently, overall health care outcomes.”
To achieve a greater understanding of affected person opinions and issues relating to using AI in screening mammography, Dr. Dogan and colleagues developed a 29-question survey to be provided to all sufferers who attended their establishment for a breast most cancers screening mammogram. The non-compulsory survey was obtainable for a interval of seven months in 2023.
All survey questions have been closed-ended and assessed the members’ data and perceptions of AI. The survey obtained demographic info along with scientific info, which uncovered a respondent’s historical past with breast most cancers, equivalent to whether or not they had any irregular mammograms previously or in the event that they or an in depth member of the family has ever had breast most cancers.
Of the 518 sufferers who accomplished the survey, most indicated assist for using AI alongside a radiologist’s evaluate, with 71% of respondents preferring AI for use as a second reader. This was regardless of issues about lack of private interplay with the radiologist, information privateness, lack of transparency and bias. Lower than 5% have been snug with AI alone deciphering their screening mammogram.
Due to its giant and various affected person inhabitants, the survey uncovered a wide range of demographic elements that affect affected person perceptions. Respondents with greater than a school diploma or a better self-reported data of AI have been two occasions extra more likely to settle for AI involvement of their screening mammogram.
Of be aware, Hispanic and non-Hispanic Black respondents reported considerably increased issues about AI bias and information privateness, which more than likely resulted in a decrease acceptance of AI amongst these affected person teams.
“These results suggest that demographic factors play a complex role in shaping patient trust and perceptions of AI in breast imaging,” Dr. Dogan added.
Familial and private medical historical past additionally impacted affected person attitudes towards AI.
No matter whether or not an abnormality was detected by AI or a radiologist, sufferers who had an in depth relative identified with breast most cancers have been extra more likely to request further opinions. Nevertheless, these sufferers exhibited a excessive diploma of belief in each AI and radiologist opinions when the mammogram got here again as regular.
In distinction, sufferers with a historical past of an irregular mammogram have been extra more likely to pursue diagnostic follow-up if AI and radiologist opinions conflicted. This was particularly the case if it was AI that flagged an abnormality.
“This highlights how personal medical history influences trust in AI and radiologists differently, emphasizing the need for personalized AI integration strategies in mammographic screening,” Dr. Dogan mentioned.
The researchers famous that it is very important proceed partaking with sufferers to grasp their evolving views of AI expertise in well being care, because the expertise continues to advance.
“Our study shows that trust in AI is highly individualized, influenced by factors such as prior medical experiences, education and racial background,” Dr. Dogan mentioned.
“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care, fostering trust and adherence to imaging reports and recommendations.”
Extra info:
Affected person Notion of Synthetic Intelligence Use in Interpretation of Screening Mammograms: A Survey Research, Radiology Imaging Most cancers (2025).
Supplied by
Radiological Society of North America
Quotation:
Sufferers assist AI as radiologist backup in screening mammography (2025, April 18)
retrieved 18 April 2025
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