A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis

Artificial intelligence for closed-loop ventilation therapy with hemodynamic control using the open lung concept

“…Specifically, the medical expert system could perform a complicated and vigorous task using knowledge based that would be carried out by a human expert in diagnosis or treatment of a disease and many other prototypes were implemented to solve medical problems in respiratory system, namely a management of weaning (Hernández-Sande et al, 1989), a control of general anesthesia (Greenhow et al, 1993), a diagnosis and therapy in lung transplantation (Prasad et al, 1996), asthma care (Shegog et al, 2004), a diagnosis of pulmonary embolism (Serpen et al, 2008) and a diagnosis of lung cancer (Avci, 2012). To our knowledge in the context of a closed-loop expert system for mechanical ventilation, the first application was for weaning in order to withdraw the patient from the ventilator (Hernández-Sande et al, 1989;Dojat et al, 1992).…”

Computational Intelligence in Medicine and Biology: A Survey

“…There is an extended application of CI techniques in medical problems as shown from the very recent literature. Actually, there are CI applications in neuropathology 7-9 and brainrelated diseases, [10][11][12][13] in pulmonary embolism diagnosis, 14 lung cancer detection, 15 diabetes and diabetes-related malfunctions, [16][17] diagnosis and classification of prostate cancer, [18][19] diagnosis of aphasia, 20 acute appendicitis, 21 cardiovascular disorders, [22][23][24][25][26] in computer aided diagnosis for breast cancer, [27][28][29][30][31][32][33][34][35][36] in generation of diagnostic hypotheses for toxoplasma infections in pregnancy, 37 in hypertention detection 38 and in assessment of osteoarthritis. 39 …”

A prediction model based on artificial neural networks for the diagnosis of obstructive sleep apnea

“…ANNs make use of data mining and can manage enormous amounts of information, while very quickly finding the optimal solution. In fact, artificial intelligence has already been successfully used in daily medical practice, by predicting the likelihood of acute myocardial infarction in patients presenting in the emergency room [4], by recognizing the occurrence of a pulmonary embolism [5], lung cancer classification [6], detection of abnormal shadows from X-ray images of lungs [7], automatic epileptic seizure detection [8], and automated medical diagnosis [9].…”