Preterm birth (PTB) significantly contributes to maternal and perinatal mortality and lifelong morbidity. While large language models (LLM) offer considerable potential for disease risk prediction and early detection, their application to PTB prediction using…
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Background: People with aphasia (PwA) present with language and communication deficits, most notably in lexical retrieval (naming). Although positive outcomes in naming have been observed following speech-language treatment, many individuals with aphasia continue to…
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Background: Advances in artificial intelligence (AI) technology have raised new possibilities for the effective evaluation of daily dietary intake, but more empirical study is needed for the use of such technologies under realistic meal…
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Cardamom
Contact: Adam Dial, chief customer officer608.469.6154
Cardamom is a Madison-based health IT startup that brings together experts in data, analytics, AI, and applications to help healthcare organizations maximize the value of their…
ASTP/ONC’s HTI-4 final rule finalizes certain proposals from the HTI-2 Patient Engagement, Information Sharing, and Public Health Interoperability proposed rule, including new and updated health IT certification criteria for electronic prior authorization, electronic prescribing,…
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Background: Adherence to weight management strategies may be undermined where lengthy strategy explanations limit engagement and understanding, weakening intervention efficacy. By contrast, implementation intentions have been shown to promote adherence across various health behaviours….
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Digital technologies improve health outcomes, access to education and health care. However, their application in the context of climate change is limited. This scoping review aimed to identify the use of digital technologies for…
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In this study, we review the application of digital technologies for health in China, examining the structure of its digital health governance. China’s digital health governance is of political commitment, cross-sectoral collaboration, and a…
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Diagnosing vestibular disorders remains challenging due to complex symptoms and extensive history-taking required. While machine learning approaches have shown promise in medical diagnostics, their application to vestibular disorder classification has been limited. We developed…
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Background: Cigarette smoking is prevalent in many countries worldwide, especially in low- and middle-income countries, presenting an urgent public health challenge. Disseminating freely available smoking cessation treatments that effectively decrease cigarette smoking globally are…
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