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Innovative approach is key for early-stage startups

Innovative approach is key for early-stage startups

December 6, 2025December 6, 2025
Integrate EMS data into hospital systems to enhance ED operations

Integrate EMS data into hospital systems to enhance ED operations

December 5, 2025December 6, 2025
Transparency Trap: Why Commercial Negotiated Hospital Rates Are Up to 32% Higher Than Cash Prices

Transparency Trap: Why Commercial Negotiated Hospital Rates Are Up to 32% Higher Than Cash Prices

December 5, 2025December 6, 2025
$32.9M Investment: UArizona and Onvida Health Launch Rural Medical Branch to Solve Arizona’s Primary Care Crisis

$32.9M Investment: UArizona and Onvida Health Launch Rural Medical Branch to Solve Arizona’s Primary Care Crisis

December 5, 2025December 6, 2025
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Tag: pancreatic cancer

Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impact

Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impact

October 13, 2025October 14, 2025npj Digital Medicine

Pancreatic cystic neoplasms (PCN) are critical precursors for early pancreatic cancer detection, yet current diagnostic methods lack accuracy and consistency. This multicenter study developed and validated an artificial intelligence (AI)-powered CT model (PCN-AI) for…

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Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings

Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings

July 22, 2025July 22, 2025npj Digital Medicine

Pancreatic cancer (PC) is often diagnosed late, as early symptoms and effective screening tools are lacking, and genetic or familial factors explain only ~10% of cases. Leveraging longitudinal electronic health record (EHR) data may…

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Large language model trained on clinical oncology data predicts cancer progression

Large language model trained on clinical oncology data predicts cancer progression

July 2, 2025July 2, 2025npj Digital Medicine

Subspecialty knowledge barriers have limited the adoption of large language models (LLMs) in oncology. We introduce Woollie, an open-source, oncology-specific LLM trained on real-world data from Memorial Sloan Kettering Cancer Center (MSK) across lung,…

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National Taiwan University Hospital fully deploys pancreatic cancer imaging AI

National Taiwan University Hospital fully deploys pancreatic cancer imaging AI

May 26, 2025May 26, 2025Healthcare IT news

National Taiwan University Hospital has recently launched a new AI-powered diagnostic imaging service for pancreatic cancer.Offered as a self-pay service at the NTUH Department of Medical Imaging since late 2024, it features an AI…

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HIFU Trial Breakthrough For Pancreatic Cancer Treatment

HIFU Trial Breakthrough For Pancreatic Cancer Treatment

January 16, 2025January 16, 2025DistilINFO Hospital IT

Revolutionary HIFU Technology Shows Promise
EDAP TMS SA, a leading provider of robotic energy-based therapies, has achieved a significant milestone in pancreatic cancer treatment. The company recently announced the successful treatment of their first patient…

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Pancreatic cancer online tool assesses risk of inheriting disease

Pancreatic cancer online tool assesses risk of inheriting disease

September 13, 2024September 13, 2024Digital Health

The charity Pancreatic Cancer UK has launched an online tool for families who have lost a loved one to pancreatic cancer to assess their risk of inheriting the disease.
Supported by NHS England, the family…

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RSNA Award Honors AI’s Breakthrough in Pancreatic Cancer

RSNA Award Honors AI’s Breakthrough in Pancreatic Cancer

November 16, 2023November 16, 2023DistilINFO Hospital IT

The RSNA Margulis Award-winning study introduces a game-changing AI-driven tool for pancreatic cancer detection on CT scans. Led by Po-Ting Chen, M.D., and the team, the research showcases the tool’s 90% sensitivity and 93%…

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UVA Health Researchers Use Wearables Data to Enhance Cancer Care

UVA Health Researchers Use Wearables Data to Enhance Cancer Care

November 2, 2023November 2, 2023mHealth Intelligence

By Anuja Vaidya

November 02, 2023 – Researchers at the University of Virginia Health (UVA Health) have found that wearable devices can be used to glean insights into patients’ cortisol levels, enabling clinicians to identify and…

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Revolutionary Blood Test Predicts Pancreatic Cancer Risk

Revolutionary Blood Test Predicts Pancreatic Cancer Risk

September 14, 2023September 14, 2023DistilINFO Hospital IT

A new pancreatic cancer prediction model, utilizing routine blood markers, may reduce unnecessary biopsies by up to 6%. Researchers have validated this model, which assesses early-stage pancreatic cancer risk, and found it outperforms individual…

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Pancreatic Cancer Prediction Model May Reduce Unnecessary Biopsies

Pancreatic Cancer Prediction Model May Reduce Unnecessary Biopsies

September 13, 2023September 14, 2023Health IT Analytics

By Shania Kennedy

September 13, 2023 – Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA Network Open.
The…

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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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