ReviewInternational journal of molecular sciences2026
Improving the Precision of Etiological Diagnosis in Bacterial Infections Using Molecular Technologies: A Comparative Analysis of Platforms, AI Integration, and Point-of-Care Deployment.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial infections remain a major global health burden, further exacerbated by the rapid emergence of antimicrobial resistance (AMR), which increases the need for accurate and timely etiological diagnosis. Conventional culture-based methods are limited by prolonged turnaround times, reduced sensitivity in patients receiving prior antimicrobial therapy, and restricted ability to characterize resistance mechanisms at the molecular level. Molecular diagnostic technologies have significantly transformed bacteriological diagnostics by enabling rapid, sensitive, and specific pathogen detection directly from clinical specimens. This review provides a structured comparative analysis of major molecular platforms, including polymerase chain reaction (PCR) and its variants, isothermal amplification technologies, next-generation sequencing (NGS), clustered regularly interspaced short palindromic repeats (CRISPR) based diagnostics, and digital PCR (dPCR). Key analytical parameters such as sensitivity, specificity, limit of detection (LOD), time to result, and multiplexing capacity are evaluated to highlight platform-specific strengths and limitations. In addition, the integration of artificial intelligence and machine learning (AI/ML) into molecular diagnostic workflows for AMR prediction and clinical decision support is critically examined. The translational potential of these technologies toward point-of-care (POC) implementation is also discussed, with consideration of clinical validation, operational constraints, and real-world applicability. Overall, this review provides an integrated perspective on current molecular diagnostic strategies, emphasizing the balance between analytical performance and clinical interpretability, and outlines key challenges and future directions for advancing culture-independent bacteriological diagnostics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.