Artificial intelligence and its primary subfield, machine learning, have started to gain
widespread use in medicine, including the field of kidney transplantation. We made a review …

The goal of artificial intelligence, expert systems, decision support systems, and computer-
assisted diagnosis (CAD) in imaging is the development and implementation of software to …

Purpose To assess the performance of an artificial neural network in the evaluation of
fluorine 18 fluorodeoxyglucose (FDG) uptake in the liver, compared with the results of expert …

This paper introduces the application of artificial neural networks to trauma complications
assessment. The potential financial benefits of improving on trauma center diagnostic …

An analysis of the accessible literature on the diagnostic applicability of artificial neural
networks in coronary artery disease and pulmonary embolism appears to be comparative to …

The volume of diagnostic imaging studies performed in the United States is rapidly
increasing resulting from an increase in the number of patients as well as an increase in the …

Therapy decision is one of the most important tasks clinicians have to perform in their clinical
practice. The decision process requires taking into account many different factors. The …

Background: The most common radionuclide procedures for parathyroid imaging are 99m
Tc-MIBI/99m Tc pertechnetate subtraction scintigraphy and 99m Tc-MIBI double-phase …

The purpose of this study was to develop a method based on artificial neural networks for
interpretation of captopril renography tests for the detection of renovascular hypertension …

Bu tez çalışmasında ilk olarak, tamamen normal koroner anjiografik bulgulara sahip
hastalardan oluşturulan normal bir veritabanı (n= 79) 4DMSpect programı içerisinde …