Clinical Laboratory Science | Machine Learning | Ophthalmology Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia. April 30, 2024
Clinical Laboratory Science | Microbiology Performance evaluation of machine-assisted interpretation of Gram stains from positive blood cultures. March 20, 2024
Artificial Intelligence in Medicine | Clinical Laboratory Science | Pathology Recognition of rare antinuclear antibody patterns based on a novel attention-based enhancement framework. January 27, 2024
Clinical Laboratory Science | Microbiology Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology. January 23, 2024
Artificial Intelligence in Medicine | Clinical Laboratory Science Diagnosis of COVID-19 from blood parameters using convolutional neural network. June 26, 2023
Clinical Laboratory Science | Microbiology Identification of Bacterial Pathogens at Genus and Species Levels through Combination of Raman Spectrometry and Deep-Learning Algorithms. October 31, 2022
Clinical Laboratory Science | Infectious Diseases | Microbiology Efficiently Predicting Vancomycin Resistance of From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach. June 27, 2022
Clinical Laboratory Science | Infectious Disease | Microbiology Identification of a clonal population of Aspergillus flavus by MALDI-TOF mass spectrometry using deep learning. January 29, 2022
Biomedical imaging | Clinical Laboratory Science | Pathology Label-free imaging and classification of live P. falciparum enables high performance parasitemia quantification without fixation or staining. August 9, 2021
Cardiology | Clinical Laboratory Science Development of an Artificial Intelligence-Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database. November 18, 2020
Clinical Laboratory Science | Hematology | Pathology Diagnostic Potential of Imaging Flow Cytometry. January 29, 2019
Clinical Laboratory Science | Microbiology Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network. December 19, 2018