Session

Advanced Imaging for screening colonoscopies

NBI FOR THE DETECTION OF SESSILE SERRATED LESIONS: A RANDOMIZED CONTROLLED TRIAL
NBI FOR THE DETECTION OF SESSILE SERRATED LESIONS: A RANDOMIZED CONTROLLED TRIAL

DEVELOPMENT AND VALIDATION OF AN UNDERSTANDABLE AI SYSTEM TO COMPREHENSIVELY DIAGNOSE THE INVASION DEPTH OF CRC
DEVELOPMENT AND VALIDATION OF AN UNDERSTANDABLE AI SYSTEM TO COMPREHENSIVELY DIAGNOSE THE INVASION DEPTH OF CRC

MULTI-STEP VALIDATION OF A DEEP LEARNING BASED SYSTEM FOR THE QUANTIFICATION OF BOWEL PREPARATION: AN OBSERVATIONAL STUDY
MULTI-STEP VALIDATION OF A DEEP LEARNING BASED SYSTEM FOR THE QUANTIFICATION OF BOWEL PREPARATION: AN OBSERVATIONAL STUDY

ARTIFICIAL INTELLIGENCE HELPS TO KEEP ADENOMA DETECTION CONSTANT OVER THE DAY
ARTIFICIAL INTELLIGENCE HELPS TO KEEP ADENOMA DETECTION CONSTANT OVER THE DAY

EFFECT OF LINKED-COLOR IMAGING ON THE DETECTION OF ADENOMAS IN SCREENING COLONOSCOPIES
EFFECT OF LINKED-COLOR IMAGING ON THE DETECTION OF ADENOMAS IN SCREENING COLONOSCOPIES

NBI FOR THE DETECTION OF SESSILE SERRATED LESIONS: A RANDOMIZED CONTROLLED TRIAL
NBI FOR THE DETECTION OF SESSILE SERRATED LESIONS: A RANDOMIZED CONTROLLED TRIAL

Advanced Imaging for screening colonoscopies

EFFECT OF LINKED-COLOR IMAGING ON THE DETECTION OF ADENOMAS IN SCREENING COLONOSCOPIES
EFFECT OF LINKED-COLOR IMAGING ON THE DETECTION OF ADENOMAS IN SCREENING COLONOSCOPIES

Advanced Imaging for screening colonoscopies

ARTIFICIAL INTELLIGENCE HELPS TO KEEP ADENOMA DETECTION CONSTANT OVER THE DAY
ARTIFICIAL INTELLIGENCE HELPS TO KEEP ADENOMA DETECTION CONSTANT OVER THE DAY

Advanced Imaging for screening colonoscopies

DEVELOPMENT AND VALIDATION OF AN UNDERSTANDABLE AI SYSTEM TO COMPREHENSIVELY DIAGNOSE THE INVASION DEPTH OF CRC
DEVELOPMENT AND VALIDATION OF AN UNDERSTANDABLE AI SYSTEM TO COMPREHENSIVELY DIAGNOSE THE INVASION DEPTH OF CRC

Advanced Imaging for screening colonoscopies

MULTI-STEP VALIDATION OF A DEEP LEARNING BASED SYSTEM FOR THE QUANTIFICATION OF BOWEL PREPARATION: AN OBSERVATIONAL STUDY
MULTI-STEP VALIDATION OF A DEEP LEARNING BASED SYSTEM FOR THE QUANTIFICATION OF BOWEL PREPARATION: AN OBSERVATIONAL STUDY

Advanced Imaging for screening colonoscopies

EFFECT OF LINKED-COLOR IMAGING ON THE DETECTION OF ADENOMAS IN SCREENING COLONOSCOPIES
EFFECT OF LINKED-COLOR IMAGING ON THE DETECTION OF ADENOMAS IN SCREENING COLONOSCOPIES

Advanced Imaging for screening colonoscopies  et al.

ARTIFICIAL INTELLIGENCE HELPS TO KEEP ADENOMA DETECTION CONSTANT OVER THE DAY
ARTIFICIAL INTELLIGENCE HELPS TO KEEP ADENOMA DETECTION CONSTANT OVER THE DAY

Advanced Imaging for screening colonoscopies  et al.

MULTI-STEP VALIDATION OF A DEEP LEARNING BASED SYSTEM FOR THE QUANTIFICATION OF BOWEL PREPARATION: AN OBSERVATIONAL STUDY
MULTI-STEP VALIDATION OF A DEEP LEARNING BASED SYSTEM FOR THE QUANTIFICATION OF BOWEL PREPARATION: AN OBSERVATIONAL STUDY

Advanced Imaging for screening colonoscopies  et al.

DEVELOPMENT AND VALIDATION OF AN UNDERSTANDABLE AI SYSTEM TO COMPREHENSIVELY DIAGNOSE THE INVASION DEPTH OF CRC
DEVELOPMENT AND VALIDATION OF AN UNDERSTANDABLE AI SYSTEM TO COMPREHENSIVELY DIAGNOSE THE INVASION DEPTH OF CRC

Advanced Imaging for screening colonoscopies  et al.

NBI FOR THE DETECTION OF SESSILE SERRATED LESIONS: A RANDOMIZED CONTROLLED TRIAL
NBI FOR THE DETECTION OF SESSILE SERRATED LESIONS: A RANDOMIZED CONTROLLED TRIAL

Advanced Imaging for screening colonoscopies  et al.

Item 1 - 15 / 15
1