Results 51 to 60 of about 286,821 (329)

Artificial intelligence-based computer-assisted detection/diagnosis (AI-CAD) for screening mammography: Outcomes of AI-CAD in the mammographic interpretation workflow

open access: yesEuropean Journal of Radiology Open, 2023
Purpose: To evaluate the stand-alone diagnostic performances of AI-CAD and outcomes of AI-CAD detected abnormalities when applied to the mammographic interpretation workflow.
Jung Hyun Yoon   +5 more
doaj  

Deep Learning in Cardiology

open access: yes, 2021
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning
Bizopoulos, Paschalis   +1 more
core   +1 more source

The cytoskeletal control of B cell receptor and integrin signaling in normal B cells and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley   +1 more source

How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG [PDF]

open access: yesarXiv, 2023
The purpose of write-missing diagnosis detection is to find diseases that have been clearly diagnosed from medical records but are missed in the discharge diagnosis. Unlike the definition of missed diagnosis, the write-missing diagnosis is clearly manifested in the medical record without further reasoning.
arxiv  

An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems [PDF]

open access: yesEPTCS 124, 2013, pp. 14-25, 2013
Complex systems are naturally hybrid: their dynamic behavior is both continuous and discrete. For these systems, maintenance and repair are an increasing part of the total cost of final product. Efficient diagnosis and prognosis techniques have to be adopted to detect, isolate and anticipate faults.
arxiv   +1 more source

CT diagnosis of early stroke : the initial approach to the new CAD tool based on multiscale estimation of ischemia [PDF]

open access: yes, 2009
Background: Computer aided diagnosis (CAD) becomes one of the most important diagnostic tools for urgent states in cerebral stroke and other life-threatening conditions where time plays a crucial role.
Bulski, Tomasz   +4 more
core  

Fluoroscopic freehand and electromagnetic-guided targeting system for distal locking screws of humeral intramedullary nail [PDF]

open access: yes, 2016
Purpose The current techniques used to lock distal screws for the nailing of long bone fractures expose the surgeons, radiologists and patients to a hearty dose of ionizing radiation.
Di Giacomo, Giorgio   +4 more
core   +1 more source

Interaction vesicles as emerging mediators of host‐pathogen molecular crosstalk and their implications for infection dynamics

open access: yesFEBS Letters, EarlyView.
Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke   +2 more
wiley   +1 more source

Automated Detection Algorithm of Breast Masses in Three-Dimensional Ultrasound Images [PDF]

open access: yesHealthcare Informatics Research, 2016
ObjectivesWe propose an automatic breast mass detection algorithm in three-dimensional (3D) ultrasound (US) images using the Hough transform technique.MethodsOne hundred twenty-five cropped images containing 68 benign and 60 malignant masses are acquired
Ji-Wook Jeong   +3 more
doaj   +1 more source

Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis [PDF]

open access: yesarXiv, 2021
Clinical diagnosis, which aims to assign diagnosis codes for a patient based on the clinical note, plays an essential role in clinical decision-making. Considering that manual diagnosis could be error-prone and time-consuming, many intelligent approaches based on clinical text mining have been proposed to perform automatic diagnosis.
arxiv  

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