Are we entering a new era of artificial intelligence (AI)-supported decision-making in dentistry?
Exploring AI’s role in dentistry: potential impacts on decision-making and patient outcomes. π€π¦·
December 4, 2025
Follow us
latest articles
Discover the newest research about AI innovations in π§ͺ Lab Medicine.
Human-in-the-Loop Performance of LLM-Assisted Arterial Blood Gas Interpretation: A Single-Center Retrospective Study.
LLM-assisted ABG interpretation shows strong concordance with expert evaluations, enhancing medical education and reducing errors. ππ©Ί
October 7, 2025
Dartford and Gravesham NHS Trust Implements Electronic Test Ordering System
Dartford and Gravesham NHS Trust introduces an electronic test ordering system for improved efficiency in imaging and pathology. π₯π
September 9, 2025
Northern Ireland Finalizes Roll-out of Clinisys WinPath System
Northern Ireland completes Clinisys WinPath system roll-out, enhancing pathology services across all health trusts. π₯π¬
July 15, 2025
Artificial Intelligence in cancer epigenomics: a review on advances in pan-cancer detection and precision medicine.
AI revolutionizes cancer epigenomics, enhancing early detection and precision medicine through advanced DNA methylation analysis. ππ¬
June 16, 2025
Human and Deep Learning Predictions of Peripheral Lung Cancer Using a 1.3βmm Video Endoscopic Probe.
“AI vs. Physicians: 85.4% Accuracy in Lung Cancer Detection with 1.3mm Iriscope Probe ππ©Ί”
May 28, 2025
Current diagnosing strategies for Mycobacterium tuberculosis and its drug resistance: a review.
Exploring TB diagnostics: sensitivity, specificity, and AI integration for better outcomes. π¦ π¬π
May 20, 2025
Smart IoT-driven biosensors for EEG-based driving fatigue detection: A CNN-XGBoost model enhancing healthcare quality.
Smart IoT biosensors detect driving fatigue with 99.80% accuracy using CNN-XGBoost model. ππ§ Enhanced safety through innovative technology!
April 22, 2025
Evaluation of error detection and treatment recommendations in nucleic acid test reports using ChatGPT models.
AI models excel in detecting lab report errors: 88.9% accuracy! π Treatment recommendations also improved significantly. π©Ί
April 20, 2025
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models.
Exploring AI’s role in malaria diagnosis π¦ π€: Ensemble models enhance accuracy and transparency for better patient outcomes.
April 12, 2025