Category: AI

AIScienceSoftware

AI-Powered Eye Assessment Tool Offers Objective Surgical Evaluation

Researchers have developed an artificial intelligence framework that uses ordinary facial photographs to objectively assess sunken upper eyelid correction outcomes. The system analyzes three key visual features to provide standardized surgical evaluation, potentially transforming periorbital reconstruction monitoring.

Breakthrough in Objective Surgical Assessment

Medical researchers have developed a computer vision-based framework that enables objective evaluation of sunken upper eyelid morphology using standard facial photographs, according to reports in Scientific Reports. The new method addresses significant limitations in current assessment approaches that rely either on expensive medical equipment or subjective clinical judgment.

by Darren Holt
AIScienceTechnology

Machine Learning Models Predict Student Aesthetic Preferences in Tehran University Campuses

A groundbreaking study applied multiple machine learning models to predict visual aesthetic preferences in Tehran university campuses. Researchers identified 18 environmental variables that significantly impact student perceptions of beauty in campus rest spots, with ensemble models showing superior predictive performance.

Predicting Campus Aesthetic Preferences Through Machine Learning

Researchers have successfully employed machine learning techniques to predict visual aesthetic preferences across university campuses in Tehran, according to a recent study published in Scientific Reports. The research team developed sophisticated models that analyze environmental features to forecast how students perceive the beauty of campus rest areas, with potential implications for campus design and urban planning.

by Marcus Linfield
AIScienceTechnology

New Open-Source Platform Enables Remote Health Monitoring for At-Risk Elderly Population

Researchers have developed an open-source platform integrating wearable and in-home monitoring devices to track health metrics in elderly patients with chronic conditions. The system provides continuous health monitoring and generates clinical reports for healthcare professionals. This approach aims to support virtual wards and early detection of cognitive decline through multimodal data collection.

Comprehensive Remote Monitoring Platform

Researchers have developed an open-source digital health platform that enables continuous monitoring of elderly patients with multiple chronic conditions, according to recently published reports. The RESILIENT platform integrates data from wearable devices and in-home sensors to create virtual wards within healthcare services, sources indicate. The system is specifically designed to monitor ageing-related comorbidities and detect early signs of cognitive decline through multimodal data collection.

by Marcus Linfield