Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 191, P. 110178 - 110178
Published: April 14, 2025
Language: Английский
Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 191, P. 110178 - 110178
Published: April 14, 2025
Language: Английский
Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 189, P. 109984 - 109984
Published: March 14, 2025
Language: Английский
Citations
0Expert Review of Anti-infective Therapy, Journal Year: 2025, Volume and Issue: unknown
Published: March 25, 2025
Traditional microbiological diagnostics face challenges in pathogen identification speed and antimicrobial resistance (AMR) evaluation. Artificial intelligence (AI) offers transformative solutions, necessitating a comprehensive review of its applications, advancements, integration clinical microbiology. This examines AI-driven methodologies, including machine learning (ML), deep (DL), convolutional neural networks (CNNs), for enhancing detection, AMR prediction, diagnostic imaging. Applications virology (e.g. COVID-19 RT-PCR optimization), parasitology malaria detection), bacteriology automated colony counting) are analyzed. A literature search was conducted using PubMed, Scopus, Web Science (2018-2024), prioritizing peer-reviewed studies on AI's accuracy, workflow efficiency, validation. AI significantly improves precision operational efficiency but requires robust validation to address data heterogeneity, model interpretability, ethical concerns. Future success hinges interdisciplinary collaboration develop standardized, equitable tools tailored global healthcare settings. Advancing explainable federated frameworks will be critical bridging current implementation gaps maximizing potential combating infectious diseases.
Language: Английский
Citations
0Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 191, P. 110178 - 110178
Published: April 14, 2025
Language: Английский
Citations
0