Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …
integration into clinical practice. This review describes the current state of the field, with a …
ChatGPT as an aid for pathological diagnosis of cancer
S Malik, S Zaheer - Pathology-Research and Practice, 2024 - Elsevier
Diagnostic workup of cancer patients is highly reliant on the science of pathology using
cytopathology, histopathology, and other ancillary techniques like immunohistochemistry …
cytopathology, histopathology, and other ancillary techniques like immunohistochemistry …
Using generative AI to investigate medical imagery models and datasets
Background AI models have shown promise in performing many medical imaging tasks.
However, our ability to explain what signals these models have learned is severely lacking …
However, our ability to explain what signals these models have learned is severely lacking …
[HTML][HTML] Artificial intelligence in colorectal cancer: from patient screening over tailoring treatment decisions to identification of novel biomarkers
Background: Artificial intelligence (AI) is increasingly entering and transforming not only
medical research but also clinical practice. In the last 10 years, new AI methods have …
medical research but also clinical practice. In the last 10 years, new AI methods have …
The SARIFA biomarker in the context of basic research of lipid-driven cancers
B Märkl, NG Reitsam, P Grochowski… - NPJ Precision …, 2024 - nature.com
SARIFA was very recently introduced as a histomorphological biomarker with strong
prognostic power for colorectal, gastric, prostate, and pancreatic cancer. It is characterized …
prognostic power for colorectal, gastric, prostate, and pancreatic cancer. It is characterized …
Novel biomarker SARIFA in colorectal cancer: highly prognostic, not genetically driven and histologic indicator of a distinct tumor biology
Abstract SARIFA (Stroma AReactive Invasion Front Areas) has recently emerged as a
promising histopathological biomarker for colon and gastric cancer. To elucidate the …
promising histopathological biomarker for colon and gastric cancer. To elucidate the …
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer
NG Reitsam, B Grosser, DF Steiner… - Communications …, 2024 - nature.com
Abstract Background Tumor-Adipose-Feature (TAF) as well as SARIFA (Stroma AReactive
Invasion Front Areas) are two histologic features/biomarkers linking tumor-associated …
Invasion Front Areas) are two histologic features/biomarkers linking tumor-associated …
The Concept of Stroma AReactive Invasion Front Areas (SARIFA) as a new prognostic biomarker for lipid-driven cancers holds true in pancreatic ductal …
P Grochowski, B Grosser, F Sommer, A Probst… - BMC cancer, 2024 - Springer
Background Pancreatic ductal adenocarcinoma (PDAC) is a 'difficult-to-treat'entity. To
forecast its prognosis, we introduced a new biomarker, SARIFA (stroma areactive invasion …
forecast its prognosis, we introduced a new biomarker, SARIFA (stroma areactive invasion …
Artificial intelligence applications in histopathology
Histopathology is a vital diagnostic discipline in medicine, fundamental to our
understanding, detection, assessment and treatment of conditions such as cancer, dementia …
understanding, detection, assessment and treatment of conditions such as cancer, dementia …
Paving the path toward multi-omics approaches in the diagnostic challenges faced in thyroid pathology
Introduction Despite advancements in diagnostic methods, the classification of
indeterminate thyroid nodules still poses diagnostic challenges not only in pre-surgical …
indeterminate thyroid nodules still poses diagnostic challenges not only in pre-surgical …