Publications by authors named "Serena C Y Wang"
Article Synopsis
- Digital health innovation is important for helping people in marginalized communities improve their health.
- These communities often have trouble accessing healthcare, and technology can help solve some of these problems.
- The Center for Medicaid and Medicare Services (CMS) is working with startups in four key areas: spreading awareness, using telehealth, simplifying state rules, and using new technology tools.
Article Synopsis
- Large language models (LLMs) can help make data extraction faster, cheaper, and with fewer mistakes compared to traditional methods.
- A study found that LLMs are better at understanding and summarizing pathology reports than other language processing techniques.
- However, there are risks like reducing critical thinking, spreading wrong information, and biases, so using rules like CANGARU is important to use LLMs responsibly.
Article Synopsis
- A study at UC San Diego Health tested a deep learning model called COMPOSER to predict sepsis in emergency departments.
- After using this model for five months, they found that there was a 17% decrease in deaths from sepsis and a 10% improvement in following medical guidelines.
- The article highlights the need to focus on important health outcomes and suggests that ongoing checks and updates are necessary for AI tools to work well in healthcare.
The utilization of artificial intelligence (AI) in diabetes care has focused on early intervention and treatment management. Notably, usage has expanded to predict an individual’s risk for developing type 2 diabetes. A scoping review of 40 studies by Mohsen et al.
View Article and Find Full Text PDFBackground: As the global prevalence of stroke continues to rise, it becomes increasingly pressing to investigate digital health behaviour change interventions that promote physical activity and reduce sedentary behaviour for stroke patients to support active lifestyles. Purpose: The primary aim of this study is to investigate the effectiveness of digital health interventions in promoting physical activity and reducing sedentary behaviour for stroke patients. The secondary aim is to investigate the intervention components that explain intervention effectiveness to further inform intervention development and policy making.
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