Objectives Federated learning (FL) has gained popularity in clinical research in recent years
to facilitate privacy-preserving collaboration. Structured data, one of the most prevalent …

Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

Predicting an individual's risk of experiencing a future clinical outcome is a statistical task
with important consequences for both practicing clinicians and public health experts …

Over recent years, there are an increasing number of incidents in which archival images
have been ripped. Leak tracking is one of the key problems for anti-screenshot digital …

Depression disorder is common in primary care, but its diagnosis is complex and
controversial due to the conflicting, overlapping and confusing nature of the multitude of …

The precise segmentation of the optic cup (OC) and the optic disc (OD) is important for
glaucoma screening. In recent years, medical image segmentation based on convolutional …

Purpose To develop a fully-automatic hybrid algorithm to jointly segment and quantify
biomarkers of polypoidal choroidal vasculopathy (PCV) on indocyanine green angiography …

ChatGPT es un asistente virtual con inteligencia artificial que utiliza lenguaje natural para
comunicarse, es decir, mantiene conversaciones como las que se tendrían con otro …

Medical image segmentation plays a vital role in computer‐aided diagnosis and intelligent
medical treatment. It can preprocess medical images to help doctors better diagnose …

Every year, more and more elaborations capable of self-development appear. Machine
learning uses not just a pre-filled algorithm, but also self-tuning of the electronic brain. In …