Results 11 to 20 of about 844,515 (334)

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation [PDF]

arXiv, 2020
Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed. Some researchers in the field argue the segmentation step is an unwanted computational burden, whereas ...
Denman, Simon, Dissanayake, Theekshana, Fernando, Tharindu, Fookes, Clinton, Ghaemmaghami, Houman, Sridharan, Sridha   +5 more
arxiv   +3 more sources

Artificial Heart Transplantation

Archives of Medicine and Health Sciences, 2017
Abdul Mannan Khan Minhas, Salman Assad
openaire   +3 more sources

Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room [PDF]

Clinical and Experimental Emergency Medicine, 2021
Objective Recent studies have suggested that deep-learning models can satisfactorily assist in fracture diagnosis. We aimed to evaluate the performance of two of such models in wrist fracture detection.
Min Woong Kim, Jaewon Jung, Se Jin Park, Young Sun Park, Jeong Hyeon Yi, Won Seok Yang, Jin Hyuck Kim, Bum-Joo Cho, Sang Ook Ha   +8 more
doaj   +1 more source

Detection of Heart Valve Function Disorders with Artificial Neural Network (ANN) Algorithm [PDF]

, 2022
Heart disease insidents has generated mortalities at a young age, hindering the occurrence of the 2045 golden generation as one of the determining factors for the occurrence of advanced Indonesia.
Alfarisyi, Bara, Faruq, Amrul, Irfan, Muhammad   +2 more
core   +1 more source

Optimization of hemolytic performance of artificial heart pump based on CFD. [PDF]

Heliyon
Hemolytic performance is the key performance of artificial heart pumps. To reduce the damage to blood during the operation of artificial heart pumps and improve hemolysis performance, this paper investigates the influence of several key parameters of ...
Liu X, Huang C, Sheng Y, Chen Q, Wang Q.
europepmc   +2 more sources

Automated histological classification for digital pathology images of colonoscopy specimen via deep learning

Scientific Reports, 2022
Colonoscopy is an effective tool to detect colorectal lesions and needs the support of pathological diagnosis. This study aimed to develop and validate deep learning models that automatically classify digital pathology images of colon lesions obtained ...
Sun-ju Byeon, Jungkap Park, Yoon Ah Cho, Bum-Joo Cho   +3 more
doaj   +1 more source

Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography

Scientific Reports, 2023
Distortion of dentition may occur in cone-beam computed tomography (CBCT) scans due to artifacts, and further imaging is frequently required to produce digital twins. The use of a plaster model is common; however, it has certain drawbacks.
Joo-Hee Lee, Hye-Lim Lee, In-Young Park, Sung-Woon On, Soo-Hwan Byun, Byoung-Eun Yang   +5 more
doaj   +1 more source

The Relationship between Perioperative Blood Transfusion and Postoperative Delirium in Patients Undergoing Spinal Fusion Surgery: Clinical Data Warehouse Analysis

Medicina, 2022
Background and Objectives: For preventing postoperative delirium (POD), identifying the risk factors is important. However, the relationship between blood transfusion and POD is still controversial.
Young-Suk Kwon, Jong-Ho Kim, Jae-Jun Lee, Eun-Min Seo   +3 more
doaj   +1 more source

The Artificial Heart [PDF]

The Iowa Review, 1991
White, Boyd
openaire   +5 more sources

An IoT Framework for Heart Disease Prediction based on MDCNN Classifier [PDF]

IEEE Access(2020) 34717-34727, 2020
Nowadays, heart disease is the leading cause of death worldwide. Predicting heart disease is a complex task since it requires experience along with advanced knowledge. Internet of Things (IoT) technology has lately been adopted in healthcare systems to collect sensor values for heart disease diagnosis and prediction.
arxiv   +1 more source