Combining data across mismatched maps is a key challenge in global health and environmental research. A powerful modeling approach has been developed to enable faster and more accurate integration of ...

Enterprise imaging has become one of the fastest-growing sources of healthcare data, driven by the expansion of AI-enabled diagnostics, larger imaging file sizes, and increased utilization across care ...

Medifakt launches a secure health data app, empowering patients with blockchain-based control and AI insights via Apple App ...

The healthcare industry generates about 30% of the world’s data. However, historically this data has been locked in silos and healthcare organizations have failed to generate real-time operational and ...

Benchmark data provided by Quark indicates the healthcare model outperformed DeepSeek's R1 and V3, and OpenAI's GPT-4o, in test accuracy Alibaba Group Holding's healthcare-dedicated artificial ...

Inpatient clinical care teams generally use tools such as bed alarms, gait belts, closer nursing station placement and more to prevent patient falls. But those interventions can hinder clinical ...

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more accurately than traditional sensor-based approaches, according to a recently ...