Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
A recent Radiology journal study assesses the power of a fully automated deep learning (DL) model to produce deterministic outputs for identifying clinically significant prostate cancer (csPCa). Study ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...
Prostate cancer (PCa) represents a highly heterogeneous disease that requires tools to assess oncologic risk and guide patient management and treatment planning. Current models are based on various ...
News-Medical.Net on MSN
Pathology AI models show demographic bias in cancer diagnosis
Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin ...
Futurism on MSN
Doctors Catch Cancer-Diagnosing AI Extracting Patients’ Race Data and Being Racist With It
A new study reveals an alarming bias present in four leading AI cancer screening tools, related to race, gender, and age.
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