Original ResearchPublished 9 October 2026Development and temporal validation of a calibrated machine learning model for in-hospital blood culture positivity using routine clinical dataTao Huang · Zhenzhen Tan · Longyang Jiang · Xuping Yang · Shurong Wang · Yilan HuangFrontiers in Medicinedoi 10.3389/fmed.2026.1956921
Original ResearchPublished 7 October 2026Confidence-gated temporal voting for EMG-based prosthetic arm control: a low-cost end-to-end pipeline with quantified rejection behaviourAnagha Shinde · Virendra Shete · Ninad MehendaleFrontiers in Rehabilitation Sciencesdoi 10.3389/fresc.2026.1864998
Original ResearchPublished 6 October 2026R-GCRED: a retrieval-grounded and calibrated risk estimation for depression prediction and screening recommendation frameworkFiras Saidi · Marwa AlmullaFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1931579
Original ResearchPublished 2 October 2026Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learningHafiz Aziz Khan · Sonia Akter · Abdur Rahman Lindon · Taslima Akter · Iftekhar Rasul · Mamunur Rahman · Nasrin Akter Tohfa · Iftekhar HossainFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1854934
Original ResearchPublished 3 September 2026Reliable food safety risk assessment via calibrated Mondrian conformal prediction: a machine learning framework with uncertainty quantificationSaravanan Radhakrishnan · V. VijayarajanFrontiers in Food Science and Technologydoi 10.3389/frfst.2026.1890831
Original ResearchPublished 6 August 2026A comparative performance analysis of ensemble learning and regularized neural networks in cardiovascular risk predictionGolam Md Mohiuddin · Md Shakil Hossain · Md Shohel SayeedFrontiers in Medical Technologydoi 10.3389/fmedt.2026.1902471
