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Predictive AI in Healthcare: Hospital Adoption Reaches 71% Amidst Disparities A growing number of hospitals are adopting predictive AI technologies, with 71% integrating them into electronic health records in 2024, an increase from 66% in 2023. These machine learning tools are most frequently used to forecast inpatient health trajectories and identify high-risk outpatients. There has also been a significant rise in the use of predictive AI for administrative tasks, with 61% of hospitals using it to automate billing procedures in 2024, up from 36% the previous year. However, a notable adoption gap persists, as large hospitals are significantly more likely to use predictive AI than their small and rural counterparts. For instance, 96% of large hospitals utilized these tools in 2024, compared to just 59% of small hospitals. ...

China’s DePTH-GPT: A New AI Model to Revolutionize Deep-Sea Research A team of Chinese scientists has launched a new artificial intelligence model named DePTH-GPT to advance deep-sea exploration. The model utilizes a combination of AI technologies, including deep learning, large language models, and computer vision, to analyze a wide range of data from the deep ocean such as video, topography, and bioacoustics. This new tool is expected to shift deep-sea research from traditional qualitative analysis to a more intelligent and predictive approach. DePTH-GPT has already been used to create an intelligent cognitive system for a seamount and a hydrothermal vent field. Developed as part of the UN Decade of Ocean Science for Sustainable Development, the model will be made available to global research institutions to create cognitive systems for various deep-sea habitats. ...