Epic has released its first open-source AI validation tool, making it available on GitHub for global use. The software suite allows healthcare organizations to test and monitor AI models within their electronic health record (EHR) systems. This tool, designed to ensure AI equity, can be used to validate models developed by Epic and other organizations. Health systems can evaluate performance and ensure fairness across different patient demographics. Organizations like Duke Health, Mayo Clinic, and Kaiser Permanente plan to utilize this tool for local validation of AI models. Epic aims to expand the tool's capabilities in the future.

Epic releases open-source AI validation tool for health systems Fierce Healthcare

Many Chief Information Officers (CIOs) are struggling to identify and demonstrate the return on investment (ROI) for artificial intelligence (AI) technologies. Challenges in estimating AI's value, a lack of qualified talent, and uncertainties about the technology's reliability were highlighted in a Gartner survey of over 700 IT leaders. Despite widespread AI adoption—95% of respondents have implemented AI in some form—nearly half express concerns over its tangible business benefits. AI solutions like Microsoft Copilot are often deployed without clear use cases or necessary employee training. Experts recommend establishing specific use cases, metrics, and pilot programs to better gauge AI's effectiveness before full-scale implementation.

Where’s the ROI for AI? CIOs struggle to find it CIO

Project Astra is an upcoming AI agent from Google that was demonstrated at Google’s I/O conference and is set to be released later this year. It will be accessible via smartphones, desktop computers, and potentially other devices like smart glasses. The presentation of Project Astra focused on its visual capabilities, contrasting with OpenAI’s GPT-4o, which emphasized audio features. Both companies claim rigorous testing for their models, with Google highlighting comprehensive safety evaluations and OpenAI involving over 70 experts in the testing process. The true measure of these AI models will be their performance when deployed to a broader audience.

OpenAI and Google are launching supercharged AI assistants. Here’s how you can try them out. MIT Technology Review

The article explores the potential of using cuddly robots in dementia care, focusing on their ability to provide comfort and companionship to patients. It discusses various studies and examples of robots that mimic pet-like behaviors, helping to reduce anxiety and improve well-being among individuals with dementia. The piece examines the benefits and challenges of integrating such technology into caregiving practices, considering both the emotional impact on patients and the practical implications for caregivers and healthcare systems.

How cuddly robots could change dementia care — MIT Technology Review MIT Technology Review

Epic has released its first open-source AI validation tool, making it available on GitHub for global use. The software suite allows healthcare organizations to test and monitor AI models within their electronic health record (EHR) systems. This tool, designed to ensure AI equity, can be used to validate models developed by Epic and other organizations. Health systems can evaluate performance and ensure fairness across different patient demographics. Organizations like Duke Health, Mayo Clinic, and Kaiser Permanente plan to utilize this tool for local validation of AI models. Epic aims to expand the tool's capabilities in the future.

Epic releases open-source AI validation tool for health systems Fierce Healthcare

Many Chief Information Officers (CIOs) are struggling to identify and demonstrate the return on investment (ROI) for artificial intelligence (AI) technologies. Challenges in estimating AI's value, a lack of qualified talent, and uncertainties about the technology's reliability were highlighted in a Gartner survey of over 700 IT leaders. Despite widespread AI adoption—95% of respondents have implemented AI in some form—nearly half express concerns over its tangible business benefits. AI solutions like Microsoft Copilot are often deployed without clear use cases or necessary employee training. Experts recommend establishing specific use cases, metrics, and pilot programs to better gauge AI's effectiveness before full-scale implementation.

Where’s the ROI for AI? CIOs struggle to find it CIO

Project Astra is an upcoming AI agent from Google that was demonstrated at Google’s I/O conference and is set to be released later this year. It will be accessible via smartphones, desktop computers, and potentially other devices like smart glasses. The presentation of Project Astra focused on its visual capabilities, contrasting with OpenAI’s GPT-4o, which emphasized audio features. Both companies claim rigorous testing for their models, with Google highlighting comprehensive safety evaluations and OpenAI involving over 70 experts in the testing process. The true measure of these AI models will be their performance when deployed to a broader audience.

OpenAI and Google are launching supercharged AI assistants. Here’s how you can try them out. MIT Technology Review

The article explores the potential of using cuddly robots in dementia care, focusing on their ability to provide comfort and companionship to patients. It discusses various studies and examples of robots that mimic pet-like behaviors, helping to reduce anxiety and improve well-being among individuals with dementia. The piece examines the benefits and challenges of integrating such technology into caregiving practices, considering both the emotional impact on patients and the practical implications for caregivers and healthcare systems.

How cuddly robots could change dementia care — MIT Technology Review MIT Technology Review