Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care DOI
Akanksha Vyas, Krishan Kumar, Ayushi Sharma

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 191, P. 110178 - 110178

Published: April 14, 2025

Language: Английский

A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry DOI

Jaleh Bagheri Hamzyan Olia,

Arasu Raman, Chou‐Yi Hsu

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 189, P. 109984 - 109984

Published: March 14, 2025

Language: Английский

Citations

0

Artificial intelligence and its application in clinical microbiology DOI
Assia Mairi,

Lamia Hamza,

Abdelaziz Touati

et al.

Expert 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

0

Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care DOI
Akanksha Vyas, Krishan Kumar, Ayushi Sharma

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 191, P. 110178 - 110178

Published: April 14, 2025

Language: Английский

Citations

0