The rise of digital health technologies has provided individuals with unprecedented access to biometric data and health insights. However, excess monitoring may contribute to fatigue, anxiety, and information overload, sometimes reducing engagement and worsening…
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The use of large language models (LLMs) in clinical diagnostics and intervention planning is expanding, yet their utility for personalized recommendations for longevity interventions remains opaque. We extended the BioChatter framework to benchmark LLMs’…
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Humana and Providence launch a scalable data exchange collaboration that will use HL7 FHIR standards and modern APIs to reduce administrative burden, enhance interoperability, and support value-based care.
The payer-provider collaboration’s…
This study aimed to identify and appraise published cost-effectiveness analyses of mobile device-based active remote monitoring technologies for long-term conditions. A systematic literature review (PROSPERO: CRD42023406364) identified studies from Medline and Embase (2008 until…
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Respiratory circuit events, including fluid accumulation and circuit or cuff leakage during mechanical ventilation, increase ventilator-associated event risks but often go undetected. We developed a convolutional neural network analyzing 57,296 annotated breaths (26,768 training/internal…
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Emerging evidence suggests generative artificial intelligence (AI) may offer potential for autoimmune and rheumatic disease care, moving beyond traditional narrow AI applications to produce contextualized clinical content to support a wide spectrum of medical…
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Machine translation supported by artificial intelligence (AI) may enhance linguistically-concordant care for patients speaking languages other than English. This assessment of free-text inpatient discharge instructions in Arabic, Armenian, Bengali, simplified Chinese, Somali, and Spanish…
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Thomas Kluz, Managing Director at Niterra Ventures
If the COVID-19 pandemic taught us anything, it is this: primary care physicians are the backbone of a functioning health system. Yet, in the United States, the supply of…
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Generative artificial intelligence, particularly large language models, offers an opportunity to rethink how patient-reported outcomes (PROs) are assessed and implemented in health systems. Despite decades of psychometric and digital innovation, PROs remain conceptually limited…
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Rheumatoid arthritis (RA) is a heterogeneous disease with variable symptoms, prognosis, and treatment response, necessitating refined patient classification. We applied multimodal deep learning and clustering to identify distinct RA phenotypes using baseline clinical data…
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