Abstract: The incidence of skin cancer, particularly melanoma, has been on the rise globally, presenting significant challenges in diagnosis and treatment due to limitations in traditional methods, ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Objective: Breast cancer-related lymphedema (BCRL) is a common postoperative complication that significantly impairs patients’ quality of life. This study aims to develop a machine learning-based ...

Please provide your email address to receive an email when new articles are posted on . Patients are increasingly using AI to diagnose their dermatologic conditions and triage malignant lesions.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Background: Lower limb deep vein thrombosis (LDVT) is a common but often underdiagnosed complication after colorectal cancer (CRC) surgery. Its early symptoms are subtle, and delayed detection can ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

Abstract: Solar radiation is of vital importance to environmental health, particularly concerning human skin exposure and protection. Too much ultraviolet (UV) radiation from the sun may cause sunburn ...