Integrating human support with chatbot-based behavior change interventions raises three challenges: (1) attuning the support to an individual’s state (e.g., motivation) for enhanced engagement, (2) limiting the use of the concerning human resources for…
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Background: Patients undergoing major surgery are at risk of complications and delayed recovery. Prehabilitation has shown promise in improving postoperative outcomes. Offering prehabilitation by means of mHealth can help overcome barriers for participating in…
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Source Credit: Preunvo Whole-Body MRI
What You Should Know:
– Prenuvo, a leader in whole-body MRI for proactive health screening, today announced compelling results from its Polaris study. The real-world study of over 1,000 asymptomatic individuals…
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What You Should Know:
– A new class of health plan leaders is setting itself apart by excelling in clear communication, digital convenience, and meaningful member support, according to the J.D. Power 2025 U.S. Commercial…
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Background: Mobile health (mHealth) has been continuously developed to support the HIV care continuum for people living with HIV (PLWH). Considering the practical needs and acceptability of digital health solutions, it is essential to…
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Suicide rates are rising in the U.S., prompting interest in contributing factors like smartphone use. While screen time has been linked to mental health, its role in suicide risk is unclear. This study examined…
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Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility in gram-negative bloodstream infections (GN-BSI). Single-center study on hospitalized patients with GN-BSI, over 7-year period, aimed to predict resistance to fluoroquinolones (FQ-R), third…
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Ultrasound assessment of fetal size and growth is the mainstay of monitoring fetal well-being during pregnancy, as being small for gestational age (SGA) or large for gestational age (LGA) poses significant risks for both…
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A new deep learning model-based tool developed in South Korea can be used to both diagnose coronary artery disease and predict major adverse cardiac events in emergency cases. HOW IT WORKS
Developed by a team of…
By John Halamka and Paul Cerrato—Large language models like ChatGPT are finding their way into healthcare, business, and everyday life. The study of mechanistic interpretability may help us create safer, more trustworthy algorithms by…
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