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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: algorithms

Why We Need to Think Differently About Storage in Healthcare

Why We Need to Think Differently About Storage in Healthcare

June 13, 2023June 15, 2023Healthcare IT Today

Managing health data is no longer as simple as archiving it for the odd retrieval by a clinician down the road. Today, health data is a strategic asset. Mining that data can lead to…

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Why We Need to Think Differently About Storage in Healthcare | Healthcare IT Today

Why We Need to Think Differently About Storage in Healthcare | Healthcare IT Today

June 13, 2023June 15, 2023Healthcare IT Today

Managing health data is no longer as simple as archiving it for the odd retrieval by a clinician down the road. Today, health data is a strategic asset. Mining that data can lead to…

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Proceeding with Caution: The Impact of (Generative) AI on Healthcare and Life Sciences | Healthcare IT Today

Proceeding with Caution: The Impact of (Generative) AI on Healthcare and Life Sciences | Healthcare IT Today

June 13, 2023June 15, 2023Healthcare IT Today

The following is a guest article by Steven Lazer, Global Healthcare & Life Sciences CTO, Alex Long, Head of Life Sciences Sales Strategy, and Michael Giannopoulos, Healthcare Global CISO and CTO for the Americas…

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Low-Cost Smartphone Finger Clip Measures Blood Pressure |

Low-Cost Smartphone Finger Clip Measures Blood Pressure |

June 12, 2023June 13, 2023Medgadget

Engineers at the University of California San Diego have developed a low-cost cuffless blood pressure monitor. The device is a clip that attaches over a smartphone camera and flash. The user presses their finger…

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Exclusive: Huma receives US FDA Class II clearance for SaMD platform

Exclusive: Huma receives US FDA Class II clearance for SaMD platform

June 12, 2023June 12, 2023Digital Health

Huma Therapeutics has received US Food and Drug Administration (FDA) Class II clearance for its disease-agnostic Software-as-a-Medical-Device (SaMD) platform, enabling companies to launch their own algorithm innovations more quickly to the platform and allowing…

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Tailored Hypertension Treatment Recommendations Empowered by Machine Learning

Tailored Hypertension Treatment Recommendations Empowered by Machine Learning

June 12, 2023June 12, 2023DistilINFO Hospital IT

Researchers from Boston University have developed a machine learning model to provide personalized hypertension treatment recommendations. The model analyzes patient-specific characteristics and medical history to generate a customized hypertension prescription, suggesting the most appropriate…

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Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation

Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation

June 9, 2023June 10, 2023npj Digital Medicine

The bold vision of AI-driven pervasive physiological monitoring, through the proliferation of off-the-shelf wearables that began a decade ago, has created immense opportunities to extract actionable information for precision medicine. These AI algorithms model…

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AI Algorithms Outperform Standard Models in Cancer Prediction

AI Algorithms Outperform Standard Models in Cancer Prediction

June 8, 2023June 10, 2023Health IT Analytics

By Mark Melchionna

June 08, 2023 – Research from the Radiological Society of North America (RSNA) indicates that artificial intelligence (AI) algorithms performed better than the Breast Cancer Surveillance Consortium (BCSC) risk model in predicting the…

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Mount Sinai AI model allows for language-based ECG readings

Mount Sinai AI model allows for language-based ECG readings

June 7, 2023June 9, 2023Healthcare IT news

Researchers at Mount Sinai in New York City say they’ve developed a new artificial intelligence model designed for electrocardiogram analysis.WHY IT MATTERSThe innovative AI approach could vastly improve the efficacy and accuracy of ECG…

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The impact of artificial intelligence on healthcare

The impact of artificial intelligence on healthcare

June 7, 2023June 9, 2023Healthcare IT news

Artificial intelligence (AI) has extraordinary potential to enhance healthcare, from improvements in medical diagnosis and treatment to assisting surgeons at every stage of the surgical act, from preparation to completion.With machine learning and deep…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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