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Author
Honggang Yu
VALIDATION OF AI-BASED BOWEL PREPARATION ASSESSMENT IN SCREENING COLONOSCOPY
Honggang Yu
et al.
A DEEP LEARNING-BASED SYSTEM FOR PREDICTING THE RISK OF HEMORRHAGE OF GASTROESOPHAGEAL VARICES QUANTITATIVELY UNDER ENDOSCOPY
Honggang Yu
et al.
PROSPECTIVE VALIDATION OF TECHNICAL DIFFICULTY SCORING SCALE OF COMMON BILE DUCT STONE REMOVAL DURING ERCP BASED ON DEEP LEARNING
Honggang Yu
et al.
VALIDATION OF A BILIOPANCREATIC EUS-INTELLIGENT AND REAL-TIME ENDOSCOPY ANALYTICAL DEVICE FOR REAL-TIME QUALITY IMPROVEMENT: A PROPECTIVE, SINGLE-CENTER, RANDOMIZED CONTROLLED TRIAL
Honggang Yu
et al.
REAL-TIME USE OF ARTIFICIAL INTELLIGENCE FOR DIAGNOSING EARLY GASTRIC CANCER BY ENDOSCOPY: A MULTICENTER, DIAGNOSTIC STUDY
Honggang Yu
et al.
DEFECT IN MIR-497 CONTRIBUTES THE TUMORIGENESIS AND PROGRESSION OF GASTRIC CANCER VIA REGULATING CDC42/ITGB1/FAK/PXN/AKT SIGNALING
Honggang Yu
et al.
A DEEP LEARNING-BASED AUTOMATIC IMAGE REPORT SYSTEM FOR ESOPHAGOGASTRODUODENOSCOPY AND EVALUATED BY A NOVEL SCORING SCALE: A MULTI-CENTER VALIDATION
Honggang Yu
et al.
A DEEP LEARNING-BASED SYSTEM REDUCES THE MISS RATE OF GASTRIC NEOPLASMS IN UPPER ENDOSCOPY: A TANDEM CLINICAL TRIAL
Honggang Yu
et al.
EFFECT OF AN AUTOMATED FLEXIBLE ENDOSCOPE CHANNELS BRUSHING SYSTEM ON IMPROVING THE REPROCESSING QUALITY: A PROSPECTIVE, RANDOMIZED CONTROLLED STUDY
Honggang Yu
et al.
AN ARTIFICIAL INTELLIGENCE-BASED QUALITY IMPROVEMENT SYSTEM SIGNIFICANTLY IMPROVED THE EFFICACY OF COMPUTER-AIDED DETECTION SYSTEM IN COLONOSCOPY: A 2*2 FACTORIAL ANALYSIS
Honggang Yu
et al.
DEEP LEARNING-BASED NAVIGATION SYSTEM FOR PANCREATIC ENDOSCOPIC ULTRASONOGRAPHY
Honggang Yu
et al.
A NOVEL DEEP LEARNING-BASED SMALL BOWEL DISEASE ASSISTED DIAGNOSTIC SYSTEM UNDER DOUBLE BALLOON ENTEROSCOPY
Honggang Yu
et al.
THE EFFECT OF DATA DIVERSITY ON THE PERFORMANCE OF DEEP LEARNING MODELS FOR PREDICTING EARLY GASTRIC CANCER UNDER ENDOSCOPY
Honggang Yu
et al.
EXPLORING THE CHALLENGE OF EARLY GASTRIC CANCER DIAGNOSTIC AI SYSTEM FACE IN MULTIPLE CENTERS AND ITS POTENTIAL SOLUTIONS
Honggang Yu
et al.
WHICH PROPERTY OF ARTIFICIAL INTELLIGENCE AFFECTS HUMAN DIAGNOSTIC PERFORMANCE MORE, INTERPRETABILITY OR PRECISION? A MULTI-READER MULTI-CASE STUDY
Honggang Yu
et al.
REALTIME ARTIFICIAL INTELLIGENCE ASSISTED DEVICE CAN EFFECTIVELY IMPROVE EARLY GASTRIC CANCER DETECTION: A HISTORICAL MULTICENTER CONTROLLED TRIAL
Honggang Yu
et al.
A PROSPECTIVE STUDY OF DEVELOPING AND VALIDATING THE EFFECT OF ANARTIFICIAL INTELLIGENTESOPHAGOGASTRODUODENOSCOPYREPORTING SYSTEM
Honggang Yu
et al.
DEVELOPMENT AND VALIDATION OF AN AI SYSTEM TO RISK-STRATIFICATION DIAGNOSE OF COLORECTAL NEOPLASIA
Honggang Yu
et al.
THE DEVELOPMENT AND CLINICAL EVALUATION OF A NATURAL LANGUAGE PROCESSING-BASED AUTOMATIC SURVEILLANCE SYSTEM FOR COLORECTAL POST-POLYPECTOMY PATIENTS
Honggang Yu
et al.
DEVELOPMENT AND VALIDATION OF AN UNDERSTANDABLE AI SYSTEM TO COMPREHENSIVELY DIAGNOSE THE INVASION DEPTH OF CRC
Honggang Yu
et al.
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