AIMC Topic: Health Facilities

Clear Filters Showing 41 to 50 of 190 articles

Detecting shortcut learning for fair medical AI using shortcut testing.

Nature communications
Machine learning (ML) holds great promise for improving healthcare, but it is critical to ensure that its use will not propagate or amplify health disparities. An important step is to characterize the (un)fairness of ML models-their tendency to perfo...

Caution! AI Bot Has Entered the Patient Chat: ChatGPT Has Limitations in Providing Accurate Urologic Healthcare Advice.

Urology
OBJECTIVE: To conduct the first study examining the accuracy of ChatGPT, an artificial intelligence (AI) chatbot, derived patient counseling responses based on clinical care guidelines in urology using a validated questionnaire.

Intelligent Energy-Aware Thermal Exchange Optimization with Deep Learning Model for IoT-Enabled Smart Healthcare.

Journal of healthcare engineering
In recent years, Internet of Things (IoT) and advanced sensor technologies have gained considerable interest in linking different medical devices, patients, and healthcare professionals to improve the quality of medical services in a cost-effective m...

How can social robot use cases in healthcare be pushed - with an interoperable programming interface.

BMC medical informatics and decision making
INTRODUCTION: Research into current robot middleware has revealed that most of them are either too complicated or outdated. These facts have motivated the development of a new middleware to meet the requirements of usability by non-experts. The propo...

A fuzzy logic-based secure hierarchical routing scheme using firefly algorithm in Internet of Things for healthcare.

Scientific reports
The Internet of Things (IoT) is a universal network to supervise the physical world through sensors installed on different devices. The network can improve many areas, including healthcare because IoT technology has the potential to reduce pressure c...

A reinforcement federated learning based strategy for urinary disease dataset processing.

Computers in biology and medicine
Urinary disease is a complex healthcare issue that continues to grow in prevalence. Urine tests have proven valuable in identifying conditions such as kidney disease, urinary tract infections, and lower abdominal pain. While machine learning has made...

Multi-modal medical image classification using deep residual network and genetic algorithm.

PloS one
Artificial intelligence (AI) development across the health sector has recently been the most crucial. Early medical information, identification, diagnosis, classification, then analysis, along with viable remedies, are always beneficial developments....