Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

Researchers have developed a new tool to help clinicians tailor personalized treatment plans for patients with a rare blood ...

Abstract: The most common cause of cancer death globally is lung cancer, and early detection is critical to enhance survival rates. Low-Dose Computed Tomography (LDCT) has emerged as a standard ...

Abstract: Phishing emails can often get past regular rule-based security protections using well-designed social tricks. PhishNet is a new way to detect phishing using NLP and ML technologies; it ...

In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...