RT’s Three Key Takeaways:
- Expanded Capabilities: Viz.ai has expanded its AI-powered platform with new pure language processing (NLP) capabilities, enabling it to mine digital well being report (EHR) knowledge for more practical lung illness prognosis and administration.
- Enhanced Affected person Care: By integrating NLP with imaging AI, Viz.ai goals to streamline care pathways, accelerating prognosis and remedy for lung illness sufferers.
- Collaborative Efforts: Viz.ai is working with main analysis establishments and advocacy teams to boost early detection and enhance scientific workflows.
Viz.ai, a supplier of synthetic intelligence (AI)-powered illness detection and clever care coordination, introduced expanded lung illness software program capabilities.
New pure language processing (NLP) capabilities, on prime of imaging AI, will prolong Viz.ai’s pulmonary options by mining scientific insights from the digital well being report (EHR) and figuring out and managing sufferers with lung illness. The software program shall be included into Viz.ai’s platform to speed up and improve the care course of, aiming to cut back time to remedy and enhance affected person outcomes.
“The indicators and signs of lung illness are sometimes delicate and simply confused with the signs of different widespread illnesses, making it troublesome to discern the suitable route of care,” says Jack Manley, MD, head of latest markets and development at Viz.ai, in a launch. “With greater than 35 million individuals within the US dwelling with a lung illness like bronchial asthma or COPD, and with lung most cancers remaining the main reason behind most cancers deaths, Viz’s AI-powered platform has the potential to speed up the time it takes sufferers to obtain an correct prognosis—attending to the suitable specialist and remedy on the proper time, thereby stopping life-threatening occasions and hospitalizations.”
Lung illness is a big contributor to sickness and loss of life within the US, with power respiratory illnesses accounting for the third main reason behind loss of life worldwide. Many lung illness sufferers fail to obtain optimum remedy because of improper identification of high-risk sufferers, poor care coordination, lack of remedy monitoring and escalation, excessive administrative obstacles to remedy, and extra. Higher care coordination for lung illness sufferers can enhance outcomes by closing gaps between affected person assessment and time to remedy.
Leveraging NLP to Consider EHR Information
This growth of Viz.ai’s pulmonary options, along with Viz Pulmonary Embolism (PE) with proper ventricular pressure, will leverage NLP to guage EHR knowledge together with imaging AI to determine and triage sufferers suspected of lung illness for additional follow-up and care.
The brand new growth shall be embedded into Viz.ai’s AI-powered care acceleration platform, enabling HCPs to streamline care pathways, handle high-risk affected person referrals and follow-ups, and enhance total affected person outcomes. Viz.ai is working with main analysis facilities and affected person advocacy teams to advance its efforts to fight lung illness.
Final month, Viz.ai introduced its partnership with the Addario Lung Most cancers Medical Institute, a world consortium made up of 25 lung most cancers analysis establishments, to collaborate on bettering lung most cancers outcomes in sufferers by specializing in early detection with improved scientific workflow for nodule workup by way of to precision drugs optimization.
ID 312534154 © Dzmitry Skazau | Dreamstime.com