Artificial intelligence for cancer detection of the upper gastrointestinal tract

Cancer of the upper gastrointestinal tract.

Upper Gastrointestinal Tract Bleeding : Assessing

Various strategies can be used in the diagnosis of upper gastrointestinal tract bleeding. This study investigates the relevance of anamnestic and clinical findings for the diagnosis of the bleeding source. The authors introduced a computer-aided diagnostic system using Bayes’ theorem and compared it with clinicians’ predictions using anamnestic and clinical findings only. There was no differenc...

Surgery for caustic injuries of the upper gastrointestinal tract.

BACKGROUND Surgery is the criterion standard for the treatment of severe burns and of late sequels after ingestion of corrosive agents, but long-term outcome is unknown. METHODS Patients who underwent surgery between 1987 and 2006, for the treatment of severe caustic burns (group I, n = 268) or of late sequels (group II, n = 79) were included in the study. Survival and functional outcomes wer...

family history as a risk for upper gastrointestinal tract cancer: a case control study

background : although, family history of cancer is an important risk factor for upper gastrointestinal cancers development, but limited information is available on the upper gastrointestinal cancers associated with family history in iran. the purpose of this study was to define upper gastrointestinal cancers risk associated with family history of cancer. methods : this study was conducted as a ...

diagnostic accuracy of computed tomography scan in detection of upper gastrointestinal tract injuries following caustic ingestion

introduction: endoscopy is an invasive procedure and finding noninvasive alternative tools in detection of probable upper gastrointestinal (gi) tract injuries following caustic ingestion is an area of interest. the present study aimed to evaluate the screening performance characteristics of thoraco-abdominal computed tomography (ct) scan in this regard. methods: this prospective cross sectional...