AIMC Topic: Sensitivity and Specificity
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An Accurate and Automated Method for Adenoma Detection Rate and Report Card Generation Utilizing Common Electronic Health Records.
Journal of clinical gastroenterology
Aug 1, 2024
GOALS: To develop an automated method for Adenoma Detection Rate (ADR) calculation and report card generation using common electronic health records (EHRs).
Machine Learning Predicts Patients With New-onset Diabetes at Risk of Pancreatic Cancer.
Journal of clinical gastroenterology
Aug 1, 2024
BACKGROUND: New-onset diabetes represent a high-risk cohort to screen for pancreatic cancer.
Evaluating performance of a near-infrared-spectroscopy-based and machine-learning-powered bio-optical sensitivity parameters in identifying intracranial hemorrhages in TBI across different age-groups.
Brain injury
Jul 31, 2024
PRIMARY OBJECTIVE: To evaluate the accuracy of an innovative machine-learning-powered near-infrared spectroscopy (mNIRS)-based bio-optical sensitivity parameters, namely specific tissue optical index (STOI) and intracranial tissue optical index (ITOI...
Age Factors
Brain Injuries, Traumatic
Double-Blind Method
Intracranial Hemorrhages
Sensitivity and Specificity
Cross-Sectional Studies
Male
Middle Aged
Spectroscopy, Near-Infrared
Aged
Adolescent
Aged, 80 and over
Child, Preschool
Humans
Young Adult
Child
Machine Learning
Adult
Prospective Studies
Female
The potential of an artificial intelligence for diagnosing MRI images in rectal cancer: multicenter collaborative trial.
Journal of gastroenterology
Jul 31, 2024
BACKGROUND: An artificial intelligence-based algorithm we developed, mrAI, satisfactorily segmented the rectal tumor, rectum, and mesorectum from MRI data of rectal cancer patients in an initial study. Herein, we aimed to validate mrAI using an indep...
Partial coherence enhances parallelized photonic computing.
Nature
Jul 31, 2024
Advancements in optical coherence control have unlocked many cutting-edge applications, including long-haul communication, light detection and ranging (LiDAR) and optical coherence tomography. Prevailing wisdom suggests that using more coherent light...
[Use of artificial intelligence for recognition of biomarkers in intermediate age-related macular degeneration].
Die Ophthalmologie
Jul 31, 2024
Advances in imaging and artificial intelligence (AI) have revolutionized the detection, quantification and monitoring for the clinical assessment of intermediate age-related macular degeneration (iAMD). The iAMD incorporates a broad spectrum of manif...
[Use of artificial intelligence in geographic atrophy in age-related macular degeneration].
Die Ophthalmologie
Jul 31, 2024
The first regulatory approval of treatment for geographic atrophy (GA) secondary to age-related macular degeneration in the USA constitutes an important milestone; however, due to the nature of GA as a non-acute, insidiously progressing pathology, th...
Artificial Intelligence to Predict the Risk of Lymph Node Metastasis in T2 Colorectal Cancer.
Annals of surgery
Jul 30, 2024
OBJECTIVE: To develop and externally validate an updated artificial intelligence (AI) prediction system for stratifying the risk of lymph node metastasis (LNM) in T2 colorectal cancer (CRC).
Modelling the rapid detection of Carbapenemase-resistant Klebsiella pneumoniae based on machine learning and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.
Diagnostic microbiology and infectious disease
Jul 30, 2024
In this study, 80 carbapenem-resistant Klebsiella pneumoniae (CR-KP) and 160 carbapenem-susceptible Klebsiella pneumoniae (CS-KP) strains detected in the clinic were selected and their matrix-assisted laser desorption/ionization time-of-flight mass s...
Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection.
Clinical imaging
Jul 30, 2024
PURPOSE: Diagnosing pulmonary embolism (PE) is still challenging due to other conditions that can mimic its appearance, leading to incomplete or delayed management and several inter-observer variabilities. This study evaluated the performance and cli...
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