Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools
Andrew J E Seely, Kimberley Newman, Rashi Ramchandani, Christophe Herry, Nathan Scales, Natasha Hudek, Jamie Brehaut, Daniel Jones, Tim Ramsay, Doug Barnaby, Shannon Fernando, Jeffrey Perry, Sonny Dhanani, Karen E A Burns · 2024
Read Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools by Andrew J E Seely, Kimberley Newman, Rashi Ramchandani, Christophe Herry, Nathan Scales, Natasha Hudek, Jamie Brehaut, Daniel Jones, Tim Ramsay, Doug Barnaby, Shannon Fernando, Jeffrey Perry, Sonny Dhanani, Karen E A Burns (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11619131.txt.
Description
Andrew Seely and a large team chart the steps to build and test AI tools that read wave based body signals to warn of decline, in a paper from 2024. Heart, breath, and pressure waves hold signs of illness depth and spare strength, and machine learning can turn them into risk scores.
Turning such scores into bedside software takes data science, tool building, and clinic trials in sequence. Each stage brings its own snags, from signal cleanup to law and sales. The roadmap walks through build, pilot tests, and full trials. The authors aim to guide teams that want monitor based warnings in real care.
Catalog record
| CREATOR | Andrew J E Seely, Kimberley Newman, Rashi Ramchandani, Christophe Herry, Nathan Scales, Natasha Hudek, Jamie Brehaut, Daniel Jones, Tim Ramsay, Doug Barnaby, Shannon Fernando, Jeffrey Perry, Sonny Dhanani, Karen E A Burns |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |