CLINICAL AI

The 2025 Clunies Ross Technology Innovation Award recognized Professor Lei Zhang's groundbreaking work in developing AI-assisted tools for sexually transmitted infection screening and cervical cancer detection. His research demonstrates how artificial intelligence can democratize access to sexual health diagnostics, particularly in underserved regions where clinical expertise is scarce. With over 1 million STI diagnoses occurring daily worldwide, this innovation represents a critical advancement in bridging the diagnostic gap and reducing health inequities.

In an era where artificial intelligence, quantum computing, and biotechnology are reshaping healthcare, navigating the landscape of emerging technologies has never been more critical. A groundbreaking new framework called Cosmos 1.0 provides healthcare leaders, researchers, and policymakers with an unprecedented tool to understand which technologies are truly transformative and which may be overhyped. By analyzing over 23,000 emerging technologies across multiple dimensions, this comprehensive mapping reveals how deep technology roots in science predict real-world impact—offering healthcare organizations a data-driven approach to strategic technology investment and innovation planning.

The FDA has cleared Felix NeuroAI Wristband, marking a watershed moment in AI-driven medical therapeutics. This cloud-based adaptive device demonstrates significant clinical superiority over sham treatment in improving daily function for essential tremor patients. With rigorous clinical evidence published in JAMA Neurology and a non-invasive approach addressing a major treatment gap, this breakthrough exemplifies how artificial intelligence can transform neurological care delivery.

House Speaker Mike Johnson's defense of President Trump's AI-generated video depicting him as "King Trump" dumping excrement on protesters extends far beyond political theater. For healthcare professionals, this incident illuminates critical vulnerabilities in institutional trust, AI governance, and the erosion of evidence-based discourse that directly threatens public health systems. As 7 million Americans protested perceived authoritarianism, the administration's response with AI-generated content raises urgent questions about how generative AI undermines the shared epistemic foundations that both democracy and healthcare require.

As the Centers for Medicare and Medicaid Services mandates age-friendly hospital measures beginning in 2025, geriatricians like Dr. April Ehrlich are pioneering the integration of artificial intelligence into clinical practice to address critical gaps in care for older adults. From delirium prediction algorithms to comprehensive geriatric assessment pathways, the convergence of AI technology and evidence-based geriatric medicine represents a fundamental transformation in how healthcare systems serve an aging population, with implications extending far beyond individual patient outcomes to system-wide quality metrics and reimbursement.