Tag: Medical Technology: Misc.

AI provided superior assessment of cardiac function versus sonographers

Model can also predict flare-ups, clinical outcomes

Algorithm was consistently more accurate than trained clinical evaluators for predicting outcomes based on pain drawings

Changes in the number of transitions between sleep and wake over time linked to changes in pain, sleep, anxiety

Significant increase seen in detection of flat adenomas with Paris classification 0 to IIb in patients with Lynch syndrome

Image model, video model, ensemble model were all superior to standard fetal biometry-based gestational age estimates

Significant effects seen for treatment condition and time for participants who used Bio Ware during one or more IVEs

AIAC group had lower adenoma and polyp detection rates; lower median number of adenomas, polyps detected per colonoscopy

Machine learning framework used to deploy quantitative sepsis response signature score, which was estimated using seven- or 12-gene signature

With pooled sensitivity of 0.77, false-negative rate with pulse CO oximeters too high for evaluating individuals suspected of having CO poisoning