Loay Kassem: Artificial intelligence could beat humans in the early detection of breast cancer
Loay Kassem, Assistant Professor of Clinical Oncology at Kasr AlAiny School of Medicine, shared a post on LinkedIn about a paper by Kristina Lång et al. published in The Lancet Oncology:
“Artificial intelligence could beat humans in the early detection of breast cancer.
In the MASAI trial, conducted in Sweden and recently published in The Lancet Group Digital Health, AI-supported mammography screening improved cancer detection rates while reducing screen-reading workload without increasing false-positive rates.
In the trial that enrolled 105,934 women, where participants were randomly assigned to AI-supported screening or standard double reading, AI-supported screening detected 338 cancers with 1,110 recalls, compared to 262 cancers and 1,027 recalls in standard screening.
AI-supported screening identified more invasive cancers (270 vs. 217), and more in situ carcinoma (68 vs. 45).
These findings while support the implementation of AI-assisted mammography screening but highlight the need for further research to assess its impact on long-term outcomes
It should be noted that this is restricted to the screening setting. Where all the participants don’t have alarming symptoms for cancer.
This is not for the diagnostic setting where cancer is suspected and an expert radiologist is the only one who can handle this.”
Authors: Kristina Lång, Viktoria Josefsson, Anna-Maria Larsson, Stefan Larsson, Charlotte Högberg, Hanna Sartor, Solveig Hofvind, Ingvar Andersson, Aldana Rosso.
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