AI Medical Compendium Journal:
Current opinion in infectious diseases

Showing 1 to 4 of 4 articles

No longer stuck in the past: new advances in artificial intelligence and molecular assays for parasitology screening and diagnosis.

Current opinion in infectious diseases Aug 12, 2024
PURPOSE OF REVIEW: Emerging technologies are revolutionizing parasitology diagnostics and challenging traditional methods reliant on microscopic analysis or serological confirmation, which are known for their limitations in sensitivity and specificit...
Humans Artificial Intelligence Sensitivity and Specificity Molecular Diagnostic Techniques Parasitology Parasitic Diseases
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Harnessing artificial intelligence microscopy to improve diagnostics for soil-transmitted helminthiasis and schistosomiasis: a review of recent advances and future pathways.

Current opinion in infectious diseases Aug 2, 2024
PURPOSE OF REVIEW: This opinion piece aims to explore the transformative potential of integrating artificial intelligence with digital microscopy to enhance diagnostics for soil-transmitted helminthiasis (STH) and schistosomiasis (SCH), two pervasive...
Humans Artificial Intelligence Soil Animals Microscopy Schistosomiasis Helminthiasis Neglected Diseases
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Navigating the future: machine learning's role in revolutionizing antimicrobial stewardship and infection prevention and control.

Current opinion in infectious diseases May 31, 2024
PURPOSE OF REVIEW: This review examines the current state and future prospects of machine learning (ML) in infection prevention and control (IPC) and antimicrobial stewardship (ASP), highlighting its potential to transform healthcare practices by enh...
Humans Machine Learning Anti-Bacterial Agents Precision Medicine Infection Control Antimicrobial Stewardship
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Machine learning: novel bioinformatics approaches for combating antimicrobial resistance.

Current opinion in infectious diseases Dec 1, 2017
PURPOSE OF REVIEW: Antimicrobial resistance (AMR) is a threat to global health and new approaches to combating AMR are needed. Use of machine learning in addressing AMR is in its infancy but has made promising steps. We reviewed the current literatur...
Humans Machine Learning Anti-Bacterial Agents Drug Resistance, Bacterial Microbial Sensitivity Tests Computational Biology Bacterial Infections
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