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Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

August 16, 2025August 16, 2025
AI-assisted multi-modal information for the screening of depression: a systematic review and meta-analysis

AI-assisted multi-modal information for the screening of depression: a systematic review and meta-analysis

August 16, 2025August 16, 2025
Healthcare’s C-Suite Shuffle: Flatiron, RadAI, Transcarent, Talkiatry, and Others Announce New Hires

Healthcare’s C-Suite Shuffle: Flatiron, RadAI, Transcarent, Talkiatry, and Others Announce New Hires

August 15, 2025August 16, 2025
6 AI Security Guidelines for Healthcare Organizations

6 AI Security Guidelines for Healthcare Organizations

August 15, 2025August 15, 2025
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Tag: Coronary Artery

Demographic and socioeconomic determinants of adherence in digital patient-reported outcomes among patients with chronic diseases

Demographic and socioeconomic determinants of adherence in digital patient-reported outcomes among patients with chronic diseases

August 1, 2025August 1, 2025npj Digital Medicine

Engaging patients in the digital collection of electronic patient-reported outcome measures (ePROMs) and experience measures (ePREMs) is desirable for equitable, patient-centred chronic disease management; however, adherence remain unclear. This study examined demographic and socioeconomic…

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CMS Finalizes TEAM Model: A New Era of Value-Based Surgical Care

CMS Finalizes TEAM Model: A New Era of Value-Based Surgical Care

August 1, 2025August 1, 2025HIT Consultant

What You Should Know: 

– The Centers for Medicare & Medicaid Services (CMS) today issued the 2026 Final Rule that officially codifies the Transforming Episode Accountability Model (TEAM), an innovative new blueprint for tech-enabled, outcome-based…

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Effectiveness of digital healthcare to improve clinical outcomes in discharged patients with coronary artery disease

Effectiveness of digital healthcare to improve clinical outcomes in discharged patients with coronary artery disease

July 23, 2025July 23, 2025npj Digital Medicine

Post-discharge management of coronary artery disease (CAD) remains clinically challenging, with digital healthcare’s efficacy underexplored. This study analyzed 16,797 CAD patients enrolled in the HeartMed Digital Management System (June 2018–September 2022), comparing outcomes between…

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Teleflex finalizes acquisition of Biotronik

Teleflex finalizes acquisition of Biotronik

July 2, 2025July 3, 2025MobiHealthNews

Teleflex, a medical technology company, announced that it has finalized its acquisition of the vascular intervention business of Biotronik.In February, Teleflex entered into a definitive agreement with Biotronik to acquire its vascular intervention business…

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Korean deep learning research predicts coronary artery disease prognosis

Korean deep learning research predicts coronary artery disease prognosis

May 29, 2025May 29, 2025MobiHealthNews

A new deep learning model-based tool developed in South Korea can be used to both diagnose coronary artery disease and predict major adverse cardiac events in emergency cases. HOW IT WORKS
Developed by a team of…

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National Heart Centre Singapore unveils AI for rapid coronary artery disease prediction

National Heart Centre Singapore unveils AI for rapid coronary artery disease prediction

May 26, 2025May 26, 2025Healthcare IT news

The National Heart Centre Singapore is set to pilot a new AI-powered solution for rapid coronary artery disease prediction.SENSE (Singapore Heart Lesion Analyser) is a machine learning-driven system that can automatically interpret heart image scans…

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Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial

Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial

May 13, 2025JMIR mHealth and uHealth

Background: Cardiac rehabilitation (CR) is effective in preventing cardiovascular diseases; however, participation in CR programs remains limited due to the associated challenges. Integration of wearable devices and real-time monitoring offers a potential solution to…

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How Expanded Reimbursement for Coronary CTA (CCTA) Could Improve Cardiovascular Outcomes - MedCity News

How Expanded Reimbursement for Coronary CTA (CCTA) Could Improve Cardiovascular Outcomes – MedCity News

February 25, 2025March 2, 2025MedCity News

Cardiovascular disease (CVD) has stubbornly remained the leading cause of death in the world for over three decades. Many of these deaths are caused by coronary artery disease (CAD), and roughly 21 million American…

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Riverain Technologies’ Global Healthcare Innovation Expands

Riverain Technologies’ Global Healthcare Innovation Expands

February 14, 2025February 14, 2025DistilINFO Hospital IT

Riverain Technologies’ Global Healthcare Innovation Expands
In a groundbreaking development for medical imaging technology, Riverain Technologies has marked an exceptional year of growth and innovation. The company’s expansion across eight countries in 2024, coupled with…

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Personalized decision making for coronary artery disease treatment using offline reinforcement learning

Personalized decision making for coronary artery disease treatment using offline reinforcement learning

February 14, 2025February 14, 2025npj Digital Medicine

Choosing optimal revascularization strategies for patients with obstructive coronary artery disease (CAD) remains a clinical challenge. While randomized controlled trials offer population-level insights, gaps remain regarding personalized decision-making for individual patients. We applied off-policy…

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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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    August 16, 2025August 16, 2025Comments Off on AI-assisted multi-modal information for the screening of depression: a systematic review and meta-analysis
  • Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

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    August 16, 2025August 16, 2025Comments Off on Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology
  • An Innovative Approach to the Design and Production of Patient-matched Medical Implants

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  • Cardinal Health to Acquire Solaris Health for $1.9B to Expand Urology Focus

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