The paper presents an innovative approach to rapid deep learning-assisted predictive diagnostics for point-of-care testing (POCT). The authors propose a method that integrates a time-series deep learning architecture and AI-based verification to enhance the analysis of lateral flow assays (LFAs). This method significantly reduces assay time to just 1-2 minutes, outperforming human analysis in terms of accuracy and speed. The approach is applicable to both infectious diseases and non-infectious biomarkers, demonstrating high sensitivity and specificity in various tests, including COVID-19 antigen, influenza A/B, Troponin I, and hCG. Blind tests using clinical samples showed that the TIMESAVER algorithm achieved diagnostic times as short as 2 minutes, with accuracy surpassing that of human experts in a 15-minute assay. The study highlights the potential of AI in enhancing POCT diagnostics, enabling healthcare professionals and non-experts to make rapid, accurate decisions. The TIMESAVER algorithm's versatility and efficiency make it a promising tool for improving patient outcomes in emergency medicine, infectious disease management, and neonatal care.The paper presents an innovative approach to rapid deep learning-assisted predictive diagnostics for point-of-care testing (POCT). The authors propose a method that integrates a time-series deep learning architecture and AI-based verification to enhance the analysis of lateral flow assays (LFAs). This method significantly reduces assay time to just 1-2 minutes, outperforming human analysis in terms of accuracy and speed. The approach is applicable to both infectious diseases and non-infectious biomarkers, demonstrating high sensitivity and specificity in various tests, including COVID-19 antigen, influenza A/B, Troponin I, and hCG. Blind tests using clinical samples showed that the TIMESAVER algorithm achieved diagnostic times as short as 2 minutes, with accuracy surpassing that of human experts in a 15-minute assay. The study highlights the potential of AI in enhancing POCT diagnostics, enabling healthcare professionals and non-experts to make rapid, accurate decisions. The TIMESAVER algorithm's versatility and efficiency make it a promising tool for improving patient outcomes in emergency medicine, infectious disease management, and neonatal care.