Articles tagged with Knowledge Based Systems
A recent study assessed an AI chatbot's ability to answer ophthalmic questions, finding it answered approximately half correctly. The results suggest that while AI has medical advances, the current chatbot is not yet ready for substantial assistance in board certification preparation.
A new neural network, CD-GAN, uses common sense knowledge to enhance text descriptions and generate images of birds at three resolution levels. The system achieved competitive scores against other image generation methods, producing vivid and natural-looking images.
A survey study of 19,000 patients found that self-managed abortion was prevalent before accessing in-clinic care, particularly among those with limited access. The findings suggest a need for increased access to telemedicine and decentralized abortion care models.
A new study found that repeated requests for personal data increase disclosure, despite unchanged concerns about privacy. Researchers suggest practical measures to reduce this effect and encourage mutually beneficial sharing.
A recent study in Los Angeles County found that more than half of adults with Omicron variant infection were unaware of their infectious status. Health care employees had higher awareness rates than non-employees, highlighting the need for increased vigilance and testing to prevent transmission.
A scoping review of knowledge graph applications in medical imaging analysis identifies increasing trend and potential future directions. The study highlights the effectiveness of prior knowledge in medical imaging tasks, but also reveals limitations, including limited annotated data and weak generalizability.
Researchers aim to create a flexible security feature that learns from past cyberattacks and requires minimal human intervention. They'll collaborate with device developers to share solutions and improve future responses to attacks.
Researchers developed WebFRIS, a web-based platform to provide socio-economic vulnerability analysis and simplify flood risk information. The tool can help formulate targeted solutions and enhance social capacity and resilience in flood-prone regions.
The Center for Research on Programmable Plant Systems (CROPPS) aims to create systems that enable plants to communicate their hidden biology to sensors, optimizing growth and the local environment. This will lead to breakthrough discoveries, new educational opportunities, and transformative management of crops.
The chance discovery field is shifting towards a new direction, focusing on interaction, visualization, and abduction to tackle complex problems and predict future trends. By analyzing implicit symptoms in data, researchers aim to identify risks and benefits, enabling better decision-making.