Can AI differentiate between bacterial and viral infections in sinusitis using facial thermal imaging ?

Sinusitis diagnosis often relies on subjective symptoms, leading to unnecessary antibiotic prescriptions. Facial thermal patterns change with inflammation and blood flow associated with infection type. AI models could analyze thermal camera images to identify bacterial versus viral signatures. This non-invasive approach would reduce antibiotic misuse and improve patient outcomes. Validation would require large datasets with confirmed infection types.

Current research shows limited but emerging evidence that facial thermal imaging may help distinguish bacterial from viral sinusitis by detecting localized temperature differences on the cheeks and forehead, reflecting differential inflammation patterns, but published studies remain small and lack standardized protocols. Thermography’s reliance on surface-temperature changes and overlap between viral and mild bacterial cases make it an imperfect stand-alone diagnostic. Larger, controlled trials would be needed before thermal imaging could be recommended in routine sinusitis evaluation.

— Enriched May 12, 2026 · Source: best-effort summary, no public reference