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Monday, July 28, 2025
Monday Morning Update 7/28/25

Monday Morning Update 7/28/25

July 27, 2025July 28, 2025
Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease

July 27, 2025July 27, 2025
AI-driven preclinical disease risk assessment using imaging in UK biobank

AI-driven preclinical disease risk assessment using imaging in UK biobank

July 26, 2025July 26, 2025
The role of face regions in remote photoplethysmography for contactless heart rate monitoring

The role of face regions in remote photoplethysmography for contactless heart rate monitoring

July 26, 2025July 26, 2025
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Author: Health IT Analytics

The News Aggregator will pull the latest articles and news from around the internet to present them in one place for you to easily keep up to date on all things related to Medical Informatics. Xtelligent Healthcare Media is the leading healthcare B2B media company using data to deliver relevant content to our readers and ROI to over 300 advertisers.
Deep learning model detects COVID-19 infection using lung imaging

Deep learning model detects COVID-19 infection using lung imaging

March 26, 2024March 26, 2024Health IT Analytics

By Shania Kennedy

March 26, 2024 – Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine.
The automated detection tool…

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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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Artificial intelligence unpredictably impacts radiologist performance

Artificial intelligence unpredictably impacts radiologist performance

March 21, 2024March 22, 2024Health IT Analytics

By Shania Kennedy

March 21, 2024 – Researchers from Harvard Medical School (HMS), the Massachusetts Institute of Technology (MIT) and Stanford University have demonstrated that the use of artificial intelligence (AI)-based assistive tools improves performance for…

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Healthcare orgs face significant data modernization challenges

Healthcare orgs face significant data modernization challenges

March 20, 2024March 21, 2024Health IT Analytics

By Shania Kennedy

March 20, 2024 – Investments in data initiatives are a consistent return on investment (ROI) for healthcare organizations, but a majority need to modernize their data stack in 2024, according to Hakkoda’s Healthcare…

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Predictive tool use has little effect on knee surgery decision-making

Predictive tool use has little effect on knee surgery decision-making

March 14, 2024March 15, 2024Health IT Analytics

By Shania Kennedy

March 14, 2024 – Researchers demonstrated that the use of a tool to predict total knee arthroplasty (TKA) in patients with knee osteoarthritis had little impact on patient-reported willingness to undergo the procedure,…

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Deep learning tool predicts brain metastasis in lung cancer patients

Deep learning tool predicts brain metastasis in lung cancer patients

March 13, 2024March 14, 2024Health IT Analytics

By Shania Kennedy

March 13, 2024 – A research team from Washington University School of Medicine in St. Louis has developed a deep learning (DL)-based approach to help predict which patients with non-small cell lung cancer…

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Mount Sinai to develop sleep apnea outcome risk prediction models

Mount Sinai to develop sleep apnea outcome risk prediction models

March 11, 2024March 11, 2024Health IT Analytics

By Shania Kennedy

March 11, 2024 – Researchers from Mount Sinai have been awarded a four-year, $3 million grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health (NIH) to develop…

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Artificial Intelligence Method Enables Data Mining from Pathology Reports

Artificial Intelligence Method Enables Data Mining from Pathology Reports

March 7, 2024March 8, 2024Health IT Analytics

By Shania Kennedy

March 07, 2024 – Cedars-Sinai researchers successfully utilized artificial intelligence (AI) to make pathology reports machine-readable, which could improve cancer patient recruitment in clinical trials.
The research team emphasized that cancer patients’ pathology data…

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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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AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections

AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections

March 4, 2024March 5, 2024Health IT Analytics

By Shania Kennedy

March 04, 2024 – Researchers from the University of Pittsburgh (Pitt) and UPMC have developed a smartphone application that leverages artificial intelligence (AI) to diagnose ear infections, specifically acute otitis media (AOM), in…

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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

Recent Posts

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    Monday Morning Update 7/28/25

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    July 26, 2025July 26, 2025Comments Off on The role of face regions in remote photoplethysmography for contactless heart rate monitoring
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