Monday, November 25, 2024

Viz.ai Expands into Lung Disease to Accelerate Diagnosis and Care for Patients

Related stories

Deep Instinct Expands Zero-Day Security to Amazon S3

Deep Instinct, the zero-day data security company built on...

Foxit Unveils AI Assistant in Admin Console

Foxit, a leading provider of innovative PDF and eSignature...

Instabase Names Junie Dinda CMO

Instabase, a leading applied artificial intelligence (AI) solution for...
spot_imgspot_img

Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, announced expanded lung disease software capabilities. New natural language processing (NLP) capabilities, on top of imaging AI, will extend Viz.ai’s pulmonary solutions by mining clinical insights from the electronic health record (EHR) and identifying and managing patients with lung disease. The software will be incorporated into Viz.ai’s innovative platform to accelerate and enhance the care process, reducing time to treatment and potentially improving outcomes for these patients.

“The signs and symptoms of lung disease are often subtle and easily confused with the symptoms of other common diseases, making it difficult to discern the appropriate route of care,” said Jack Manley, MD, head of New Markets & Growth at Viz.ai. “With more than 35 million people in the U.S. living with a lung disease like asthma or COPD, and with lung cancer remaining the leading cause of cancer deaths, Viz’s AI-powered platform has the potential to accelerate the time it takes patients to receive an accurate diagnosis – getting to the right specialist and treatment at the right time, thereby preventing life-threatening events and hospitalizations.”

Lung disease is a significant contributor to illness and death in the U.S., with chronic respiratory diseases accounting for the third leading cause of death worldwide. Many lung disease patients fail to receive optimal treatment due to improper identification of high-risk patients, poor care coordination, lack of treatment monitoring and escalation, high administrative barriers to therapy and more. Better care coordination for lung disease patients can improve outcomes by closing gaps between patient review and time to treatment.

Also Read: Shift Bioscience Raises $16M to Advance Cell Simulation AI Platform

This expansion of Viz.ai’s pulmonary solutions, in addition to Viz Pulmonary Embolism (PE) with right ventricular strain, will leverage NLP to evaluate EHR data along with imaging AI to identify and triage patients suspected of lung disease for further follow-up and care. The new expansion will be embedded into Viz.ai’s AI-powered care acceleration platform, enabling HCPs to streamline care pathways, manage high-risk patient referrals and follow-ups, and improve overall patient outcomes. Viz.ai is working with leading research centers and patient-advocacy groups to advance its efforts to combat lung disease. Last month, Viz.ai announced its partnership with the Addario Lung Cancer Medical Institute (ALCMI), an international consortium made up of 25 of the world’s premier lung cancer research institutions, to collaborate on improving lung cancer outcomes in patients by focusing on early detection with improved clinical workflow for nodule workup through to precision medicine optimization.

SOURCE: Businesswire

Subscribe

- Never miss a story with notifications


    Latest stories

    spot_img