AI stress detection is taking a new direction as researchers explore how everyday smartphone activities can reveal changes in a person’s daily stress levels. A study from the Korea Advanced Institute of Science and Technology (KAIST) suggests that patterns such as messaging, web browsing and financial payments may provide useful clues about how someone is […]
An AI digital twin could change how people understand their metabolism by using personal health data to predict how their bodies respond to different foods, activities and daily habits. Rather than offering generic dietary recommendations, an AI digital twin attempts to build a personalised picture of an individual’s physiology and update its predictions as new […]
New framework improves clinical reasoning and decision making in AI systems, introducing a significant advancement in the development of medical artificial intelligence. Traditional healthcare AI tools have often excelled at narrow tasks such as image classification, pattern recognition, or data retrieval, but they have struggled with the deeper reasoning processes that clinicians use when evaluating […]
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