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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: ML

Machine learning approach may help tailor precision medicine treatments

Machine learning approach may help tailor precision medicine treatments

April 2, 2024April 2, 2024Health IT Analytics

By Shania Kennedy

April 02, 2024 – A research team from Arizona State University has developed a machine learning (ML) model capable of predicting whether a patient’s immune system will recognize pathogens and other foreign cells,…

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Machine learning predicts perioperative peripheral artery disease risk

Machine learning predicts perioperative peripheral artery disease risk

March 22, 2024March 23, 2024Health IT Analytics

By Shania Kennedy

March 22, 2024 – Machine learning (ML) algorithms can accurately predict one-year major adverse limb event (MALE) or death following endovascular intervention for peripheral artery disease (PAD), according to a study published recently…

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Informing immunotherapy with multi-omics driven machine learning

Informing immunotherapy with multi-omics driven machine learning

March 14, 2024March 16, 2024npj Digital Medicine

Progress in sequencing technologies and clinical experiments has revolutionized immunotherapy on solid and hematologic malignancies. However, the benefits of immunotherapy are limited to specific patient subsets, posing challenges for broader application. To improve its…

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Rhapsody Launches AI for Identity with Rhapsody Autopilot

Rhapsody Launches AI for Identity with Rhapsody Autopilot

March 8, 2024March 9, 2024HIT Consultant

What You Should Know:

– Rhapsody, a leader in digital health enablement, has unveiled a groundbreaking technology called Rhapsody Autopilot.

– The first-of-its-kind solution utilizes machine learning (ML) to automatically link patient records, ensuring a comprehensive…

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AI and ML can help providers manage rev cycle staffing challenges

AI and ML can help providers manage rev cycle staffing challenges

March 5, 2024March 6, 2024Healthcare IT news

The healthcare revenue cycle space is facing a staffing shortage. But as hospitals and health systems manage workforce challenges and related financial impacts from bottlenecks in claims submissions and follow-ups, more are finding help…

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Machine Learning Predicts Cancer Risk in Liver Disease Patients

Machine Learning Predicts Cancer Risk in Liver Disease Patients

March 5, 2024March 5, 2024Health IT Analytics

By Shania Kennedy

March 05, 2024 – A research team from UC Davis Health developed a machine learning (ML) tool to identify which patients are at increased risk of developing hepatocellular carcinoma (HCC), a common type…

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Machine Learning Models Predict Mortality Among Dementia Patients

Machine Learning Models Predict Mortality Among Dementia Patients

February 29, 2024February 29, 2024Health IT Analytics

By Shania Kennedy

February 29, 2024 – Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this…

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Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study

Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study

February 7, 2024February 7, 2024JMIR mHealth and uHealth

Background: As mobile health (mHealth) studies become increasingly productive owing to the advancements in wearable and mobile sensor technology, our ability to monitor and model human behavior will be constrained by participant receptivity. Many…

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Uncovering the Hidden Insights in Clinical Trial Documents: Critical Steps to Intelligent Document Processing - MedCity News

Uncovering the Hidden Insights in Clinical Trial Documents: Critical Steps to Intelligent Document Processing – MedCity News

February 6, 2024February 6, 2024MedCity News

In clinical trials, pharmaceutical companies are seeking to optimize operations and improve efficiency by automating and enhancing processes through Artificial Intelligence (AI) and Machine Learning (ML). One area where this can reap tangible benefits…

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Machine Learning, ‘Liquid Biopsy’ to Bolster Early Cancer Detection

Machine Learning, ‘Liquid Biopsy’ to Bolster Early Cancer Detection

January 30, 2024January 30, 2024Health IT Analytics

By Shania Kennedy

January 30, 2024 – Researchers from City of Hope and its precision medicine research organization, the Translational Genomics Research Institute (TGen), have developed a machine learning (ML) approach that could facilitate the early…

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As the chief clinical officer of a health system that includes five hospitals, I start almost every day by asking myself the question, "What will we need hospitals for in 2030?" How much that we do today will be safely done either at home or in the ambulatory setting in the near future given advancements in point-of-care diagnostics, telehealth, artificial intelligence, nanotechnology, robotics, drones, 3D printing, virtual reality, 5G, etc.?

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    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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    January 31, 2026January 31, 2026Comments Off on Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial
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