The Automated Intimate Partner Violence Risk Support System analyzes clinical and radiologic data to identify intimate ...

One of the biggest obstacles in multi-institutional EHR research is the inconsistency in medical coding systems across ...

Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...

The preventive duration requires individualised adjustment by clinicians based on the patient’s condition, undeniably complicating clinical management. Based on current guidelines and expert consensus ...

Background Most dementia algorithms are unsuitable for population-level assessment and planning as they are designed for use in the clinical setting. A predictive risk algorithm to estimate 5-year ...

A clinical trial is one that involves human participants and seeks to answer specific questions about a type of medical intervention. This can be a drug or other type of treatment, such as nutritional ...

Objective To validate a hypoxic ischaemic encephalopathy (HIE) prediction algorithm to identify infants at risk of HIE immediately after birth using readily available clinical data. Design Secondary ...

It is intended that this algorithm will be useful in a clinical and developmental setting. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial ...

In the clinical laboratory, Chemistry and Haematology departments have been the earliest to adapt robotics and algorithms into its workflow. As early as 1984, the “EXPERT”, a consultation ...

YOLO is a popular one-stage object detection model known for its speed and accuracy. It processes images in real-time, making it suitable for applications requiring quick detection. EfficientDet is ...