Results 61 to 70 of about 844,515 (334)

Artificial heart [PDF]

open access: yes, 2014
An artificial heart is a device that replaces the heart. Artificial hearts are typically used to bridge the time to heart transplantation, or to permanently replace the heart in case heart transplantation is impossible.
Nishta, B.V.
core  

Performance Analysis of Support Vector Machine and Neural Networks in Detection of Myocardial Infarction [PDF]

open access: yes, 2015
One of the most common form of cardiac abnormality is Myocardial Infarction (heart attack) arises when the artery connecting the heart is blocked and there is no sufficient blood or oxygen, which makes the cells present in that region of the heart to die.
Bhaskar, Nitin Aji
core   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan   +6 more
wiley   +1 more source

BreastWatch: A Varian Eclipse script tool for Community‐Based automatic evaluation of breast treatment plans

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work introduces BreastWatch, a Varian Eclipse script tool designed to help medical physicists, dosimetrists, and radiation oncologists easily inspect and improve External Beam Breast Treatment (EBBT) plans using automatic evaluation of protocol dose‐constraints enhanced by a Community‐Based approach.
Stefano Agostinelli   +8 more
wiley   +1 more source

Estimating infant age from skull X-ray images using deep learning

open access: yesScientific Reports
This study constructed deep learning models using plain skull radiograph images to predict the accurate postnatal age of infants under 12 months. Utilizing the results of the trained deep learning models, it aimed to evaluate the feasibility of employing
Heui Seung Lee   +4 more
doaj   +1 more source

Heart Disease Detection using Vision-Based Transformer Models from ECG Images [PDF]

open access: yesarXiv, 2023
Heart disease, also known as cardiovascular disease, is a prevalent and critical medical condition characterized by the impairment of the heart and blood vessels, leading to various complications such as coronary artery disease, heart failure, and myocardial infarction.
arxiv  

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

open access: yesAdvanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi   +4 more
wiley   +1 more source

Artificial Heart Valve Inspection Using Eddy Current Techniques

open access: yesCommunications, 2011
This paper discusses about minimally invasive techniques to detect the single leg fracture in special type of artificial heart valve called Bjork Shiley Convexo - Concave (BSCC).
Tatiana Strapacova   +2 more
doaj   +1 more source

Ensemble learning of myocardial displacements for myocardial infarction detection in echocardiography

open access: yesFrontiers in Cardiovascular Medicine, 2023
BackgroundEarly detection and localization of myocardial infarction (MI) can reduce the severity of cardiac damage through timely treatment interventions.
Tuan Nguyen   +14 more
doaj   +1 more source

Development of Ternary Magnesium Alloys for Laser Powder Bed Fusion: Optimizing Oxide Layer Thickness

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing of magnesium alloys by laser is difficult because the melting point of the oxide layer is much higher than the evaporation temperature of the metal underneath. Making the oxide layer thinner can solve this problem. Alloying magnesium with strontium makes the oxide layer thinner, especially at 0.5 wt%.
Elmar Jonas Breitbach   +8 more
wiley   +1 more source

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