The University of Pennsylvania Health System leveraged anonymized patient data to develop an AI-based diagnostic tool for early detection of hepatic steatosis from abdominal CT scans. This innovation aims to prioritize radiological reviews and embodies precision medicine by using population data to enhance individual patient care. Similar advancements in digitization across various healthcare providers include ambient documentation systems at Atlantic Health to alleviate clinician burnout and a machine learning system at the University of Miami to optimize operating room schedules. Stanford Medicine Children’s Health innovated by digitizing patient treatment protocols through EMR integration. While AI in healthcare typically supports back-office functions, initiatives like ambient listening are improving clinical efficiency and patient engagement across these institutions.

Healthcare’s long road to digitization gets an AI boost cio.com

The Coalition for Health AI (CHAI) has released a draft framework aimed at establishing responsible standards for the deployment of AI in healthcare, with a focus on public review and feedback. The framework, grounded in a consensus from a diverse group of stakeholders, includes the Assurance Standards Guide and companion Assurance Reporting Checklists. These documents provide detailed criteria for evaluating AI across its lifecycle, aligning with recognized standards such as the National Academy of Medicine's AI Code of Conduct and the White House's AI Bill of Rights. Stakeholders such as clinicians, developers, and patients are encouraged to use these tools to ensure AI solutions are effective, secure, and equitable. The Guide highlights best practices through six case studies, emphasizing transparency and independent evaluation. CHAI underscores the importance of continuous stakeholder engagement to keep the guidelines relevant and inclusive, ensuring AI in healthcare benefits all, particularly underrepresented communities.

CHAI Releases Draft Responsible Health AI Framework HIT Consultant

Based Hardware has introduced "Friend," an AI-powered necklace designed to record conversations, transcribe them, and provide actionable insights. Priced at $70, the device looks like jewelry and features a microphone, Bluetooth connectivity, a companion app for local data storage, and a six-day battery life. Using ChatGPT, it summarizes interactions, extracts action items, and keeps updated profiles of contacts. The device aims to enhance memory and organization but raises potential privacy concerns. The consumer version is slated for release in Q4 2024, with future iterations potentially incorporating video and other smart wearable formats.

New ‘Friend’ ChatGPT Appliance Records, Transcribes & Summarizes Conversations Forbes

The role of Chief Information Security Officers (CISOs) and Chief Security Officers (CSOs) has evolved significantly, moving from technical functions like managing firewalls to developing comprehensive cybersecurity and risk management strategies aligned with business goals. This transformation has accelerated with the advent of generative AI technologies, prompting new challenges and expanding the risk landscape. CISOs now collaborate closely with business units and C-suite executives, integrating security strategies into broader company initiatives while ensuring compliance with new regulatory requirements. This shift also necessitates effective communication skills to convey technical risks in business terms, fostering trust and securing executive support for cybersecurity measures. As these leaders adapt to rapid technological changes, their role is increasingly strategic, potentially positioning them for other C-level roles.

6 ways the CISO role is evolving today csoonline.com