JAMA Netw Open, 2019 Key Points Question Can a deep learning–based algorithm accurately discriminate abnormal chest radiograph results showing major thoracic diseases from normal chest radiograph results?
Hwang EJ +12 more
europepmc +2 more sources
Endobronchial Ultrasound Transbronchial Needle Aspiration in Thoracic Diseases: Much More than Mediastinal Staging. [PDF]
Can Respir J, 2018 Background and Objective EBUS-TBNA has revolutionized the diagnostic approach to thoracic diseases from a surgical to minimally invasive procedure. In non small-cell lung cancer (NCSLC) patients, EBUS-TBNA is able to dictate the consecutive therapy both ...
Guarize J +10 more
europepmc +2 more sources
Identification of Thoracic Diseases by Exploiting Deep Neural Networks
Computers Materials & Continua, 2021 : With the increasing demand for doctors in chest related diseases, there is a 15% performance gap every five years. If this gap is not filled with effective chest disease detection automation, the healthcare industry may face unfavorable consequences ...
Saleh Albahli +4 more
semanticscholar +1 more source
Learning to Localize Objects Using Limited Annotation, With Applications to Thoracic Diseases
IEEE Access, 2021 Motivation: The localization of objects in images is a longstanding objective within the field of image processing. Most current techniques are based on machine learning approaches, which typically require careful annotation of training samples in the ...
Eyal Rozenberg +2 more
semanticscholar +1 more source
Thinking Forward: Future-oriented Thinking among Patients with Tobacco-associated Thoracic Diseases and Their Surrogates. [PDF]
Am J Respir Crit Care Med, 2016 Hart JL, Pflug E, Madden V, Halpern SD.
europepmc +2 more sources
European Heart Journal-Cardiovascular Imaging, 2023 Imaging techniques play a pivotal role in the diagnosis, follow-up, and management of aortic diseases. Multimodality imaging provides complementary and essential information for this evaluation.
A. Evangelista +14 more
semanticscholar +1 more source
Achieving Thoracic Oncology data collection in Europe: a precursor study in 35 Countries [PDF]
, 2018 Background: A minority of European countries have participated in international comparisons with high level data on lung cancer. However, the nature and extent of data collection across the continent is simply unknown, and without accurate data ...
Alfageme Michavila, Inmaculada +7 more
core +1 more source
Three-Dimensional Electromagnetic Torso Scanner
Sensors, 2019 A three-dimensional (3D) electromagnetic torso scanner system is presented. This system aims at providing a complimentary/auxiliary imaging modality to supplement conventional imaging devices, e.g., ultrasound, computerized tomography (CT) and magnetic ...
Sasan Ahdi Rezaeieh +4 more
doaj +1 more source
Guided Tissue Regeneration in Heart Valve Replacement: From Preclinical Research to First-in-Human Trials [PDF]
, 2015 Heart valve tissue-guided regeneration aims to offer a functional and viable alternative to current prosthetic replacements. Not requiring previous cell seeding and conditioning in bioreactors, such exceptional tissue engineering approach is a very ...
Gerosa, Gino, Iop, Laura
core +4 more sources
Biomechanical and biochemical properties of the thoracic aorta in warmblood horses, Friesian horses, and Friesians with aortic rupture [PDF]
, 2015 Background: Thoracic aortic rupture and aortopulmonary fistulation are rare conditions in horses. It mainly affects Friesian horses. Intrinsic differences in biomechanical properties of the aortic wall might predispose this breed.
Chiers, Koen +10 more
core +2 more sources