Jim Baranski, Executive Director at Lung Cancer Foundation of America, shared a post on LinkedIn:
“Can AI diagnose lung cancer?
Check this out… AI has the potential to help doctors diagnose lung cancer faster and more accurately by analyzing digital images of tissue samples. Scientists can use AI to tell the difference between types of lung cancer, like adenocarcinoma and squamous cell carcinoma.
AI shows promise for diagnosing lung cancer, and we need bigger and more real-world studies to make sure these models work well for all patients before they become a regular part of clinical care.”
Title: Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis
Authors: Soumya Arun, Mariia Grosheva, Mark Kosenko, Jan Lukas Robertus, Oleg Blyuss, Rhian Gabe, Daniel Munblit, Judith Offman
You can read the Full Article on npj Precision Oncology
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