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Mayo Clinic s AI Innovation Inspires Hope In Early Detection Of Pancreatic Cancer

Mayo Clinic s AI Innovation Inspires Hope In Early Detection Of Pancreatic Cancer
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Mayo Clinic s AI innovation inspires hope in early detection of pancreatic cancer

ROCHESTER, Minn. — Estimated to become the second leading cause of cancer deaths in the U.S. by 2030, pancreatic cancer has a grim prognosis with nearly 70% of patients facing

AI Algorithm Aids in the Early Detection of Pancreatic Cancer

In a recent innovation, researchers from the Mayo Clinic Comprehensive Cancer Center built a flexible artificial intelligence (AI) model using the largest imaging dataset in the world. This model has the potential to automatically detect pancreatic cancer on standard CT scans when surgical intervention can still offer a cure.

AI innovation inspires hope in early detection of pancreatic cancer

AI innovation inspires hope in early detection of pancreatic cancer
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New Study in JNCCN Suggests Way to Predict Outcomes with High Accuracy Prior to Surgery for Pancreatic Cancer Patients

According to Mayo Clinic Comprehensive Cancer Center researchers, metabolic imaging (FDG-PET) in combination with traditional treatment response assessment methods can provide clinicians with critical information they need to guide therapy for pancreatic cancer patients. Increasingly impactful nature of research in JNCCN reflected in new high for the journal's Impact Factor, now 12.693. PLYMOUTH MEETING, Pa., Sept. 9, 2022 /PRNewswire/ New research in the September 2022 issue of JNCCN-Journal of the National Comprehensive Cancer Networkfinds the use of positron emission tomography (PET) with 18-fluorodeoxyglucose (FDG) tracer adds significant prognostic benefit in objectively assessing neoadjuvant chemotherapy response in borderline resectable/locally advanced pancreatic cancer patients prior to surgery. "We were astonished by how metabolic imaging can now predict outcomes with high accuracy before any surgical intervention," said senior research Mark J. Truty, MD, MS,

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