Neuroflow, a behavioral health technology and analytics company, announced it acquired Intermountain Health’s proprietary health analytics model.The aim of the acquisition is to accelerate the enhancement of NeuroFlow’s analytics and AI proficiencies and allow…
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What You Should Know:
– NeuroFlow, a behavioral health technology and analytics company, has acquired Intermountain Health’s proprietary behavioral health analytics model. Financial details of the acquisition were not disclosed.
– The strategic acquisition significantly enhances…
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Henry O’Connell, CEO and Co-Founder, Canary Speech
In recent years, the use of AI-enhanced ambient listening tools has transformed the way clinicians utilize vocal biomarkers for cognitive and behavioral health assessments. As these technologies expand, clinicians are exploring…
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Unnecessary preoperative testing poses a risk to patient safety, causes surgical delays, and increases healthcare costs. We describe the effects of implementing a fully EHR-integrated closed-loop clinical decision support system (CDSS) for placing automatic…
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When asked by MobiHealthNews how they see AI’s place in the sector changing in 2025, executives explained how the focus of AI will shift from what it can do to what it does, and…
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News
The House Task Force on Artificial Intelligence publishes its findings and recommendations, which include:
Challenges include data availability and quality, incomplete or inaccurate responses, non-individualized recommendations, lack of decision transparency, data privacy, interoperability with existing…
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Artificial intelligence is revolutionizing healthcare. Through enhancing workflows, supporting clinical decision-making and improving patient care, we’re seeing innovation transform the industry. Underlying these technological advances is the need for computing, whether that be at…
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Stepped-care obesity treatments aim to improve efficiency by early identification of non-responders and adjusting interventions but lack validated models. We trained a random forest classifier to improve the predictive utility of a clinical decision…
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Large language models (LLMs) are increasingly applied in medical documentation and have been proposed for clinical decision support. We argue that the future for LLMs in medicine must be based on transparent and controllable…
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Reinforcement Learning (RL) is a machine learning paradigm that enhances clinical decision-making for healthcare professionals by addressing uncertainties and optimizing sequential treatment strategies. RL leverages patient-data to create personalized treatment plans, improving outcomes and…
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