Accurate prediction of financial metrics in spine surgery is crucial as healthcare transitions to value-based care. While bundled payment models have succeeded in other orthopedic procedures, the heterogeneity of spinal surgery complicates their adoption….
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Mansoor Khan, like other health care transformers, wants AI to help clinicians “do the job better, faster, cheaper.” As CEO at Persivia, he recognizes that different types of AI are needed for different parts…
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Patient portals are widely available to facilitate self-service interactions, including appointment booking, offering convenience to users. Promoting clinically appropriate care pathways, however, is complex; portals must recognize patient intent while striving for an intuitive…
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Background: Empowered by the rapid development of artificial intelligence technology, chatbots have been increasingly used for the promotion of health-related behaviors to address the high demand for human resources in conventional behavioral interventions. However,…
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While there are many similarities between the use of artificial intelligence in adult care and pediatrics, there are also some unique and important considerations for the latter, due to the complexity of health issues…
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Imaging is crucial to assess disease extent, activity, and outcomes in inflammatory bowel disease (IBD). Artificial intelligence (AI) image interpretation requires automated exploitation of studies at scale as an initial step. Here we evaluate…
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AI-backed imaging and care coordination company Viz.ai is partnering with biotechnology company Regeneron and biopharmaceutical company Sanofi to deploy and study an AI-enabled workflow tool for COPD. Viz.ai offers a care coordination platform with more…
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The National Centre for Healthy Ageing, a research institute by Monash University and Peninsula Health in Australia, has developed a new AI-driven method to efficiently identify dementia in hospitals. It researched ways to uplift dementia…
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Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…
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The opioid epidemic persists in the U.S., with over 80,000 deaths annually since 2021, primarily driven by synthetic opioids. Responding to this evolving epidemic requires reliable and timely information. One source of data is…
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