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 ...
As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.
New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By ...
Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin ...
Researchers at the University of Tartu Institute of Computer Science, Junior Research Fellow of Artificial Intelligence ...
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 ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.