and individuals at elevated risk poses challenges due to the intricate and subtle nature of symptoms.
In recent years, In this new editorial, researchers Elinor Nemlander, Marcela Ewing, Axel C. Carlsson, and Andreas Rosenblad from Karolinska Institutet and the Academic Primary Health Care Centre at Region Stockholm explore the potential of ML in enhancing early cancer detection in primary care.
“However, responsible and equitable implementation of ML models requires careful attention to ethical considerations, collaboration, and validation across diverse populations.”
- Transforming early cancer detection in primary care: harnessing
the power of machine learning – (https://www.oncoscience.us/article/578/text/)
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