Medical News Observer

WHO Publishes Updated Classification Of Digital Interventions, Services and Applications

The second edition of the WHO’s Classification of Digital Interventions, Services, and Applications in Health updates the 2018 version. It enhances the taxonomy for documenting and describing digital technology in healthcare. This edition adds new digital health interventions and focuses on equity in health systems challenges. It also updates the “Systems Categories” section, aligning it…
American Heart Association’s Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) risk calculator

The American Heart Association has launched the Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) risk calculator, designed to estimate the 10- and 30-year risk of total cardiovascular disease (CVD) in individuals aged 30 years and older. PREVENT combines cardiovascular, kidney, and metabolic health measures to assess the risks of heart attack, stroke, and heart failure. These equations are…
List of Evidence Mapping Software

An evidence map is a tool used in systematic reviews to identify gaps in knowledge and future research needs within a broad field and presents this information in a user-friendly, graphical format. It visualizes the distribution of existing evidence on a topic, delineating the areas where evidence is abundant and lacking. There are several tools…
Guidelines: Lung Cancer Screening Guideline Update from American Cancer Society

The American Cancer Society (ACS) has updated its 2013 lung cancer screening (LCS) guideline for adults at high risk for lung cancer, particularly due to a history of smoking. The ACS now recommends annual LCS with low-dose computed tomography for asymptomatic individuals aged 50–80 years who currently smoke or formerly smoked and have a ≥20…
AI/ML: Sonio Detect

Sonio Detect is a Software as a Service (SaaS) solution designed to assist healthcare professionals during fetal ultrasound examinations. This solution was developed by Sonio and received premarket notification from the FDA on 7/25/2023. Sonio Detect is intended to analyze fetal ultrasound images and clips using machine learning techniques to automatically detect views, detect anatomical structures within…
AI Models Predicts Autism Behaviors with High Accuracy: Linking Sleep and GI Health to Behavioral Challenges

Researchers at Rensselaer Polytechnic Institute explore using AI models to predict challenging behaviors in individuals with Autism Spectrum Disorder (ASD). They found a link between sleep, gastrointestinal health, and challenging behaviors in individuals with profound autism. The study showed that GI issues predicted next-day problematic behaviors with high accuracy. This finding is significant as sleep,…
Health Assessment tools: My Life Check by American Heart Association

My Life Check™ by American Heart Association is a scientific health assessment tool based on Life’s Essential 8™ for cardiovascular wellness. The American Heart Association has introduced Life’s Essential 8™, a comprehensive guide for anyone looking to improve their heart health. It emphasizes that it’s never too late to make better health choices. The eight…
AI/ML: Magentiq Eye Automatic Polyp Detection System (ME-APDS)

The Magentiq Eye’s Automatic Polyp Detection System (ME-APDS), also known as MAGENTIQ-COLO™, is a groundbreaking advancement in gastroenterology, utilizing AI to enhance the accuracy of colonoscopies. This innovative system processes video frames in real-time to assist endoscopists in identifying polyps, leveraging a Computer-Aided Polyp Detection (CADe) engine and Deep Neural Networks (DNN) for efficient lesion…
The Unmind Index

The Unmind Index is a scientifically validated psychological measure developed by Unmind in collaboration with the Psychometrics Centre at the University of Cambridge. It assesses an individual’s mental health and well-being through a 26-item, 7-subscale measure. The Unmind Index covers a wide range of areas, including stress, sleep, relationships, mood, and more, allowing individuals to…
Machine Learning Based Risk Prediction Tool for IgA Nephropathy from Yonsei University

Researchers from Yonsei University in South Korea developed and tested a machine learning model to predict the 2-year risk of progression in patients with IgA nephropathy (IgAN). This condition is one of the causes of primary kidney diseases, especially in the Asian population. Using a retrospective cohort from two hospitals involving 1,301 patients with confirmed…