aceArtificial Intelligence in Rapid Diagnostics for Antimicrobial Resistance: From Bench to Bedside
Background Antimicrobial resistance (AMR) is one of the most urgent global public health threats, especially in low- and middle-income countries. In 2019, bacterial AMR was estimated to have directly caused approximately 1.27 million deaths and to have been associated with 4.95 million deaths worldwide. Rapid identification of resistant infections is important, yet established diagnostics are very slow. In recent years, artificial intelligence (AI) has revolutionized microbiology and infectious disease diagnosti…
Reviewed AI-enhanced diagnostics were reported to shorten turnaround time for detecting antimicrobial resistance and to support stewardship and early treatment optimization in laboratory and point-of-care settings.
Evidence that these AI diagnostic tools directly improve patient outcomes or work reliably at the bedside is limited, and predictive performance varies across studies.
The review reports heterogeneous predictive performance and limited evidence of direct patient-outcome gains or routine bedside effectiveness, so clinical benefit remains unconfirmed.
Evidence
- Peer-reviewedHealth Science Reports2026-10-14
How should this claim be treated?
Truvace Impact Record TRV-2026-1991, v1: “Artificial Intelligence in Rapid Diagnostics for Antimicrobial Resistance: From Bench to Bedside.” Truvace, 2026-10-20. /record/TRV-2026-1991 (accessed at citation time). sha256 dfa7195c89a9b991…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-1991 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.