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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: Deep Learning

The Road Ahead for Healthcare Finance Leaders: Navigating Challenges in AI Adoption & Data Quality

The Road Ahead for Healthcare Finance Leaders: Navigating Challenges in AI Adoption & Data Quality

September 11, 2024September 11, 2024HIT Consultant

Lucas Tanner, Chief Financial Officer, Carta Healthcare

The road ahead for healthcare leaders continues to be fraught with challenges. According to a recent McKinsey survey, health system executives see digital and AI transformation as crucial…

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Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension

September 5, 2024September 5, 2024npj Digital Medicine

Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000–2013) from Boston, we developed an artificial intelligence-derived biomarker for elevated…

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Development, deployment and scaling of operating room-ready artificial intelligence for real-time surgical decision support

Development, deployment and scaling of operating room-ready artificial intelligence for real-time surgical decision support

September 3, 2024September 4, 2024npj Digital Medicine

Deep learning for computer vision can be leveraged for interpreting surgical scenes and providing surgeons with real-time guidance to avoid complications. However, neither generalizability nor scalability of computer-vision-based surgical guidance systems have been demonstrated,…

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Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population

August 24, 2024August 24, 2024npj Digital Medicine

Congenital long QT syndrome (LQTS) diagnosis is complicated by limited genetic testing at scale, low prevalence, and normal QT corrected interval in patients with high-risk genotypes. We developed a deep learning approach combining electrocardiogram…

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Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records

Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records

August 24, 2024August 24, 2024npj Digital Medicine

Clostridioides difficile infection (CDI) is a major cause of antibiotic-associated diarrhea and colitis. It is recognized as one of the most significant hospital-acquired infections. Although CDI can develop severe complications and spores of Clostridioides…

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Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

August 16, 2024August 17, 2024npj Digital Medicine

Deep learning has enabled breakthroughs in automated diagnosis from medical imaging, with many successful applications in ophthalmology. However, standard medical image classification approaches only assess disease presence at the time of acquisition, neglecting the…

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A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children

A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children

August 7, 2024August 7, 2024npj Digital Medicine

The increasing prevalence of myopia worldwide presents a significant public health challenge. A key strategy to combat myopia is with early detection and prediction in children as such examination allows for effective intervention using…

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The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review

The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review

August 3, 2024August 4, 2024npj Digital Medicine

The adoption of machine learning (ML) and, more specifically, deep learning (DL) applications into all major areas of our lives is underway. The development of trustworthy AI is especially important in medicine due to…

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AIRS Medical scores $20M for global expansion and more briefs

AIRS Medical scores $20M for global expansion and more briefs

July 22, 2024July 22, 2024MobiHealthNews

AIRS Medical bags $20M to take more global marketsKorean medical AI company AIRS Medical has raked in $20 million in a Series C funding round led by BSK Investment and Shinyoung Securities. 
Based on a press statement,…

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Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data

Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data

July 9, 2024July 10, 2024npj Digital Medicine

Parkinson’s disease (PD) is a serious neurodegenerative disorder marked by significant clinical and progression heterogeneity. This study aimed at addressing heterogeneity of PD through integrative analysis of various data modalities. We analyzed clinical progression…

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The two areas that are changing… are information technology and medical technology. Those are the things that the world will be very different 20 years from now than it is today.

Bill Gates

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