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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: Medicine

Tempus AI Files for IPO, Eyes Over $600M in Funding for AI-Powered Precision Medicine

Tempus AI Files for IPO, Eyes Over $600M in Funding for AI-Powered Precision Medicine

May 23, 2024May 23, 2024HIT Consultant

What You Should Know: 

– Tempus AI, a leader in artificial intelligence (AI)-powered precision medicine, filed with the Securities and Exchange Commission (SEC) on Monday to raise up to $100M in an initial public offering…

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Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children

Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children

May 21, 2024May 21, 2024npj Digital Medicine

6–11-year-old children provide a critical window for physical activity (PA) interventions. The Virtual Fitness Buddy ecosystem is a precision health PA intervention for children integrating mixed reality technology to connect people and devices. A…

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Generalization—a key challenge for responsible AI in patient-facing clinical applications

Generalization—a key challenge for responsible AI in patient-facing clinical applications

May 21, 2024May 21, 2024npj Digital Medicine

Generalization – the ability of AI systems to apply and/or extrapolate their knowledge to new data which might differ from the original training data – is a major challenge for the effective and responsible…

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ATA 2024 Spotlights How Collaboration, AI, and Patient-Centricity Will Define Telehealth’s Future – HIStalk

ATA 2024 Spotlights How Collaboration, AI, and Patient-Centricity Will Define Telehealth’s Future – HIStalk

May 20, 2024May 20, 2024HIStalk

ATA 2024 Spotlights How Collaboration, AI, and Patient-Centricity Will Define Telehealth’s FutureBy Amy Window
Amy Window is vice president of strategic alliances at Infermedica.

The American Telemedicine Association’s (ATA) annual conference united experts…

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Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

May 20, 2024May 20, 2024npj Digital Medicine

Sleep is essential to life. Accurate measurement and classification of sleep/wake and sleep stages is important in clinical studies for sleep disorder diagnoses and in the interpretation of data from consumer devices for monitoring…

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Expanding AI in Radiology | deepc and ImagineSoftware’s Strategic Partnership

Expanding AI in Radiology | deepc and ImagineSoftware’s Strategic Partnership

May 20, 2024May 20, 2024DistilINFO Hospital IT

Table of Contents

Introduction
Challenges in the US Healthcare Radiology Sector
Overview of deepc and ImagineSoftware
Benefits of the deepc and ImagineSoftware Partnership
Implementation and Integration of Radiology AI
Impact on Healthcare Practices
FAQs
Conclusion

Introduction
deepc, a leader in digital medicine and AI…

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Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level

Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level

May 18, 2024May 18, 2024npj Digital Medicine

Artificial intelligence-enabled electrocardiogram (ECG) algorithms are gaining prominence for the early detection of cardiovascular (CV) conditions, including those not traditionally associated with conventional ECG measures or expert interpretation. This study develops and validates such…

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Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing

Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing

May 18, 2024May 18, 2024npj Digital Medicine

Chat-based counseling hotlines emerged as a promising low-threshold intervention for youth mental health. However, despite the resulting availability of large text corpora, little work has investigated Natural Language Processing (NLP) applications within this setting….

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A validated web-application (GFDC) for automatic classification of glaucomatous visual field defects using Hodapp-Parrish-Anderson criteria

A validated web-application (GFDC) for automatic classification of glaucomatous visual field defects using Hodapp-Parrish-Anderson criteria

May 18, 2024May 18, 2024npj Digital Medicine

Subjectivity and ambiguity of visual field classification limits the accuracy and reliability of glaucoma diagnosis, prognostication, and management decisions. Standardised rules for classifying glaucomatous visual field defects exist, but these are labour-intensive and therefore…

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StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

May 17, 2024May 17, 2024npj Digital Medicine

Determining acute ischemic stroke (AIS) etiology is fundamental to secondary stroke prevention efforts but can be diagnostically challenging. We trained and validated an automated classification tool, StrokeClassifier, using electronic health record (EHR) text from…

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The most promising technology is AI combined with what we call "digital endpoints" for each service we provide. Digital endpoints are technologies like online scheduling, asynchronous video visits, and voice and application programming interfaces. The combination of AI and these endpoints mean that we can enable more sophisticated navigation, new business models, reduce friction and improve care delivery.

Aaron Martin

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