[HTML][HTML] Focus: Big Data: Artificial Intelligence to Improve Patient Understanding of Radiology Reports
Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …
As a result, the reports are written with medical jargon and technical detail to ensure …
Deep learning-based brain hemorrhage detection in ct reports
Radiology reports can potentially be used to detect critical cases that need immediate
attention from physicians. We focus on detecting Brain Hemorrhage from Computed …
attention from physicians. We focus on detecting Brain Hemorrhage from Computed …
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks
S Bayrak - Knowledge and Information Systems, 2024 - Springer
Unmanned aerial vehicles (UAVs), also known as drones, have become instrumental in
various domains, including agriculture, geographic information systems, media, logistics …
various domains, including agriculture, geographic information systems, media, logistics …
Epilepsy Detection by Different Modalities with the Use of AI-Assisted Models
J Vajiram, S Sivakumar, R Jena… - Artificial Intelligence …, 2024 - ojs.bonviewpress.com
Epilepsy is characterized by recurrent seizures originating from any four brain lobes. It
includes focal seizures with symptoms of alterations in consciousness and cognitive …
includes focal seizures with symptoms of alterations in consciousness and cognitive …
Diagnostic Performance Evaluation of Deep Learning-Based Medical Text Modelling to Predict Pulmonary Diseases from Unstructured Radiology Free-Text Reports
The third most common cause of death worldwide is attributed to pulmonary diseases,
making it imperative to diagnose them promptly. Radiology is a medical discipline that …
making it imperative to diagnose them promptly. Radiology is a medical discipline that …
Methods for the Recognition of Multisource Data in Intelligent Medicine: A Review and Next-Generation Trends
The use of technological innovations in medicine has led to an increase in efficiency in
disease recognition and to guide human life by facilitating. Intelligent medical systems can …
disease recognition and to guide human life by facilitating. Intelligent medical systems can …
Text mining aplicado à gestão de fundos públicos
LHB Chinita - 2022 - repositorio.iscte-iul.pt
Este trabalho tem como objetivo analisar documentos textuais submetidos por empresas
portuguesas no momento de candidatura a programas de incentivos empresariais públicos …
portuguesas no momento de candidatura a programas de incentivos empresariais públicos …
Interpretation of Deep Network Predictions on Various Data Sets Using LIME
S Bayrak - Explainable, Interpretable, and Transparent AI Systems - taylorfrancis.com
Black box systems are decision support systems that can be defined as devices, systems, or
objects. They aim to generate the most informative explanation for users without informing …
objects. They aim to generate the most informative explanation for users without informing …
[PDF][PDF] The Effect of Pre-trained Language Models on Critical Case Detection from Radiology Reports
Radiology reports has a significant role in disease diagnosis process. On some cases
radiology report may indicate a critical condition on which the doctor attending the patient …
radiology report may indicate a critical condition on which the doctor attending the patient …
[PDF][PDF] Web Uygulamaları için Derin Öğrenme Yöntemiyle Güvenlik Duvarı Uygulaması Firewall Application with the Deep Learning Method for the Web Applications
Ş Bayrak, B Ardanuç - eleco.org.tr
Özet Günümüzde artan internet kullanımı ile beraber web uygulamalarına karşı yapılan
saldırılar da aynı şekilde artmaktadır ve modern Web Uygulama Güvenlik Duvarları (Web …
saldırılar da aynı şekilde artmaktadır ve modern Web Uygulama Güvenlik Duvarları (Web …