XAI techniques with clinical markers found to predict COVID-19 severity
Explainable AI approaches with clinical and laboratory markers could predict COVID severity and enable healthcare professionals to optimise medical resources.
AI
Matthew Brady WHO releases guidance on LMM ethics and governance to achieve better health outcomes
New guidance from WHO calls for stakeholder collaboration in the development and deployment of AI technologies to ensure better patient…
GPT-4 found to potentially amplify harmful biases in healthcare
Careful attention is needed to ensure that large multimodal language models are deployed in healthcare in a safe and equitable…
AI-based tool built in China to better detect ovarian cancer
A new tool can help identify ovarian cancer, especially in routine checks or primary facilities with limited clinical experience in…
KSA, UAE, and Vietnam ahead in AI regulation in healthcare
90% of countries across WHO regions participating in the Global Digital Health Monitor do not regulate AI in healthcare.
AI tool can predict 10-year risk of deadly heart attacks
A new AI tool could lead to a 20 percent reduction in heart attacks and 8 percent in cardiac deaths…
TachyHealth, Zayed Uni to fight healthcare fraud with AI
TachyHealth and Zayed University researchers will identify healthcare fraud, waste, and abuse by using Graph Neural Networks.