In routine practice of gastrointestinal endoscopic biopsy reading, the pathologist first performs the microscopic interpretation. Next, the signed out slides are scanned, then in SeeDP system, their file name (pathology number) is searched for in the database, and the AI model corresponding to each organ is determined and implemented. Finally, via the SeeDP program, scanned slides are organized into classes by pathologic diagnosis and by AI prediction. Pathologists can access the SeeDP system to check whether there is concordance between each class and review discordant cases preferentially. Abbreviations: AI (artificial intelligence), QC (quality control), GUI (graphical user interface), SeeDP (Seegene Medical Foundation’s AI- assisted Dig...
From visual data, artificial intelligence (AI) can extract complicated information. Histopathology p...
Artificial intelligence (AI), which has demonstrated outstanding achievements in image recognition, ...
Background and Aims: Artificial intelligence (AI), specifically deep learning, offers the potential ...
From the “Statistics” page, the prediction performance and distribution of each AI model (gastric/co...
Since the emergence of artificial intelligence (AI) in medicine, endoscopy applications in gastroent...
Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice. Al...
Background and Aims: Artificial intelligence (AI)-based applications have transformed several indust...
This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the diag...
Artificial intelligence (AI) is gradually being utilized in various fields as its performance has be...
Abstract Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing addi...
Gastrointestinal cancers are among the leading causes of death worldwide, with over 2.8 million deat...
Background and aim The growing number of publications on the application of artificial intelligence ...
The development of artificial intelligence (AI) has increased dramatically in the last 20 years, wit...
Digital pathology had a recent growth, stimulated by the implementation of digital whole slide image...
BackgroundArtificial intelligence (AI) research is highly dependent on the nature of the data availa...
From visual data, artificial intelligence (AI) can extract complicated information. Histopathology p...
Artificial intelligence (AI), which has demonstrated outstanding achievements in image recognition, ...
Background and Aims: Artificial intelligence (AI), specifically deep learning, offers the potential ...
From the “Statistics” page, the prediction performance and distribution of each AI model (gastric/co...
Since the emergence of artificial intelligence (AI) in medicine, endoscopy applications in gastroent...
Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice. Al...
Background and Aims: Artificial intelligence (AI)-based applications have transformed several indust...
This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the diag...
Artificial intelligence (AI) is gradually being utilized in various fields as its performance has be...
Abstract Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing addi...
Gastrointestinal cancers are among the leading causes of death worldwide, with over 2.8 million deat...
Background and aim The growing number of publications on the application of artificial intelligence ...
The development of artificial intelligence (AI) has increased dramatically in the last 20 years, wit...
Digital pathology had a recent growth, stimulated by the implementation of digital whole slide image...
BackgroundArtificial intelligence (AI) research is highly dependent on the nature of the data availa...
From visual data, artificial intelligence (AI) can extract complicated information. Histopathology p...
Artificial intelligence (AI), which has demonstrated outstanding achievements in image recognition, ...
Background and Aims: Artificial intelligence (AI), specifically deep learning, offers the potential ...