(1) Background: Lung cancer's high mortality due to late diagnosis highlights a need for early detection strategies. Artificial intelligence (AI) in healthcare, particularly for lung cancer, offers promise by analyzing medical data for early identification and personalized treatment. This systematic review evaluates AI's performance in early lung cancer detection, analyzing its techniques, strengths, limitations, and comparative edge over traditional methods.
View Article and Find Full Text PDFThe use of antibiotic therapy has led to a major transformation in medicine with a substantial reduction in mortality. Due to the adverse effects associated with inappropriate antibiotic use, antibiotic stewardship interventions have been promoted to improve antibiotic prescription. However, delayed antibiotic therapy, when clinically needed, may result in increased morbidity.
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