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Patient Care Management in 2024: How AI Innovates Patient Discovery

Aidoc

In the rapidly evolving landscape of healthcare technology, the development of patient management systems is pivotal. Particularly groundbreaking is the integration of artificial intelligence (AI), which has revolutionized the approach to patient care management.

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Natural Language Processing (NLP) in Spotlight at HIMSS 2023

Imaging Technology

Whether paid fee-for-service, capitated, or anything in between, Whole Chart Analysis and NLITE can improve revenue capture, make costly providers more efficient, and drive better care delivery.” In addition to better care, this generated $2.5M CT) at the McCormick Center, South Building S104. in net new revenue from improved coding.

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Nanox Receives FDA Approval for Latest Version of AI Cardiac Imaging Product

Imaging Technology

is the upgraded version of Nanox.AI’s cardiac solution, HealthCCSng, which has already shown tangible results in several healthcare systems, identifying patients at high risk of coronary artery disease while driving significant revenue to cardiology departments. HealthCCSng V2.0 For more information, please visit [link].

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AI in Healthcare: The Ultimate Guide

Aidoc

Grouping AI technology together like this doesn’t help people implementing AI differentiate between the different types of AI in healthcare – what they do, how they work and, ultimately, how they can impact patient care and provider experience. Clinical AI, on the other hand, focuses on a specific part of the system: patient care.

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ECR: AI algorithm quantifies fatty tissue on chest CT for lung cancer prognosis

AuntMinnie

VIENNA - A deep-learning algorithm used with chest CT can help clinicians quantify patients' subcutaneous fat tissue levels on lung cancer screening -- and thus better predict disease outcomes, according to a presentation delivered on 29 February at ECR 2024. AT density, HU, mean -90.5 All-cause death 7% ASCVD 1.8% Lung cancer death 1.6%