News | Artificial Intelligence | December 05, 2023

Quantivly highlighted state-of-the-art advances in its artificial intelligence (AI)-driven software at RSNA23

Quantivly highlighted state-of-the-art advances in its artificial intelligence (AI)-driven software at RSNA23

December 5, 2023 — Radiology is under severe economic pressure as reimbursement rates fall for many common scans. At the same time, procedure volume is climbing with the aging population, and the specialty is encountering staffing difficulties for both radiologists and radiologic technologists.

As evidenced by the technical exhibits at RSNA, the advancement of AI is delivering gains in image interpretation, report generation, and acceleration of imaging techniques.  From Quantivly’s Chief Product and Customer Officer, Robert MacDougall: “These advances in AI have the potential to drastically improve patient care but will create a massive coordination problem of imaging many more patients, each with a bespoke protocol, on the radiology department’s most precious capital asset (MRI and CT scanners).  Quantivly’s digital twin and smart recommendation engine is the solution to this challenge, enabling better imaging care to more patients, and a win-win-win for providers (to capture unrealized revenue), patients (increased access and personalized care), and staff (augmented with AI to reduce burnout).”

Quantivly's origin story

Radiology is producing more data than ever before, but it is unusable – locked due to its unstructured and siloed nature. The result of this data chaos is an operational black whole that impacts all stakeholders: patients, providers and staff.

A spin-off from Boston Children’s Hospital, Quantivly started with the realization that much of the operational data exists – in both HL7 and DICOM formats – but it is siloed, messy, unstructured and, as a result, frozen.  Quantivly solves the problem of “data liquidity”  by extracting image pixel data, metadata and Radiology Information System (RIS) messages on-the-fly,  cleaning, harmonizing it, and structuring it with its Harmonization Engine to make it fully query-able, and building a new ontology that describes radiology operations. 

Quantivly @ RSNA 2023

This year, Quantivly goes further, leveraging their proprietary data layer to build Digital Twin of Radiology Operations and Smart Recommendation Engine.

From Quantivly’s CEO, Benoit Scherrer: “We have executed on our vision to build the “digital twin” for radiology operations to re-imagine the management of medical imaging.  Digital twins are dynamic, digital replicas of complex physics systems (e.g. hospitals) that allow users to simulate real-world conditions, play out “what if” scenarios”, and simulate the impact of interventions in-silico.  The digital twin is the enabling technology for our Smart Recommendation Engine, which continuously crunches massive data to surface insights and actionable interventions, and track the impact of these interventions over time – a revolution in the management of radiology operations.” 

For more information: https://quantivly.com/

Find more RSNA23 conference coverage here


Related Content

News | Radiopharmaceuticals and Tracers

July 24, 2024 — Telix Pharmaceuticals Limited announced that the United States (U.S.) Food and Drug Administration (FDA) ...

Time July 24, 2024
arrow
News | Digital Pathology

July 24, 2024 — Proscia, a developer of artificial intelligence (AI)-enabled digital pathology solutions for precision ...

Time July 24, 2024
arrow
News | RSNA

July 23, 2024 — Professional registration is open for RSNA 2024, the world’s largest radiology forum. This year’s theme ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 23, 2024 — Researchers at the National Institutes of Health (NIH) found that an artificial intelligence (AI) model ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 22, 2024 — Healthcare artificial intelligence (AI) systems provider, Qure.ai, has announced its receipt of a Class ...

Time July 22, 2024
arrow
News | Radiology Business

July 17, 2023 — The Radiological Society of North America (RSNA) Research and Education (R&E) Foundation Board of ...

Time July 17, 2024
arrow
News | Artificial Intelligence

July 17, 2024 — Hyperfine, a groundbreaking medical device company that has redefined brain imaging with the world’s ...

Time July 17, 2024
arrow
News | Magnetic Resonance Imaging (MRI)

July 16, 2024 — Fujifilm Healthcare Americas Corporation, a leading provider of diagnostic and enterprise imaging ...

Time July 16, 2024
arrow
News | PET-CT

July 16, 2024 — A new research paper was published in Oncotarget's Volume 15 on June 20, 2024, titled, “Comparison of ...

Time July 16, 2024
arrow
News | Digital Pathology

July 12, 2024 — AGFA HealthCare, a global leader in healthcare imaging management solutions, announced that Enterprise ...

Time July 12, 2024
arrow
Subscribe Now