Blar i Fakultet for medisin og helsevitenskap (MH) på tittel
Viser treff 1089-1108 av 15169
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Automated generation of genome-scale metabolic draft reconstructions based on KEGG
(Journal article; Peer reviewed, 2018)Background Constraint-based modeling is a widely used and powerful methodology to assess the metabolic phenotypes and capabilities of an organism. The starting point and cornerstone of all such modeling is a genome-scale ... -
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets
(Peer reviewed; Journal article, 2021)COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three ... -
Automated Patient-level Prostate Cancer Detection with Quantitative Diffusion Magnetic Resonance Imaging
(Peer reviewed; Journal article, 2023)Background Multiparametric magnetic resonance imaging (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the subjective Prostate Imaging Reporting and Data System (PI-RADS) system and ... -
Automated pupillometry to detect command following in neurological patients: a proof-of-concept study
(Journal article; Peer reviewed, 2019)Background Levels of consciousness in patients with acute and chronic brain injury are notoriously underestimated. Paradigms based on electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) may detect ... -
Automated Quantification of Human Osteoclasts Using Object Detection
(Peer reviewed; Journal article, 2022)A balanced skeletal remodeling process is paramount to staying healthy. The remodeling process can be studied by analyzing osteoclasts differentiated in vitro from mononuclear cells isolated from peripheral blood or from ... -
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition
(Peer reviewed; Journal article, 2020)Objectives To develop and evaluate an automated method for prostate T2-weighted (T2W) image normalization using dual-reference (fat and muscle) tissue. Materials and methods Transverse T2W images from the publicly ... -
Automated segmentation of endometrial cancer on MR images using deep learning
(Peer reviewed; Journal article, 2021)Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ... -
Automatic analysis in echocardiography using machine learning
(Doctoral theses at NTNU, 2021:230, Doctoral thesis, 2021)Echocardiography is the cornerstone of modern cardiac imaging due to its availability, low cost and real-time functionality. The modality has enabled sophisticated non-invasive evaluation of the hearts morphophysiology, ... -
Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography
(Peer reviewed; Journal article, 2024)We have developed a method to automatically assess LV function by measuring mitral annular plane systolic excursion (MAPSE) using artificial intelligence and transesophageal echocardiography (autoMAPSE). Our aim was to ... -
Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data
(Journal article; Peer reviewed, 2018)The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ... -
Automatic Detection and Measurement of Fetal Biparietal Diameter and Femur Length — Feasibility on a Portable Ultrasound Device
(Journal article, 2017)An automatic method able to recognize a presented section through the biparietal plane of the fetal head and a section through the fetal femur in ultrasound images is developed. Once the correct anatomical section for ... -
Automatic interpretation of cement evaluation logs from cased boreholes using supervised deep neural networks
(Peer reviewed; Journal article, 2020)The integrity of cement in cased boreholes is typically evaluated using well logging. However, well logging results are complex and can be ambiguous, and decisions associated with significant risks may be taken based on ... -
Automatic Intraoperative Correction of Brain Shift for Accurate Neuronavigation
(Journal article; Peer reviewed, 2018)Background Unreliable neuronavigation owing to inaccurate patient-to-image registration and brain shift is a major problem in conventional magnetic resonance imaging–guided neurosurgery. We performed a prospective ... -
Automatic intraoperative estimation of blood flow direction during neurosurgical interventions
(Journal article; Peer reviewed, 2018)Purpose In neurosurgery, reliable information about blood vessel anatomy and flow direction is important to identify, characterize, and avoid damage to the vasculature. Due to ultrasound Doppler angle dependencies and the ... -
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases
(Peer reviewed; Journal article, 2023)Aims Echocardiography is a cornerstone in cardiac imaging, and left ventricular (LV) ejection fraction (EF) is a key parameter for patient management. Recent advances in artificial intelligence (AI) have enabled fully ... -
Automatic measurements of mitral annular motion indices
(Doctoral theses at NTNU;2020:4, Doctoral thesis, 2020) -
Automatic measurements of mitral annular plane systolic excursion and velocities to detect left ventricular dysfunction
(Journal article; Peer reviewed, 2018)The purpose of the study described here was to evaluate an automatic algorithm for detection of left ventricular dysfunction, based on measurements of mitral annular motion indices from color tissue Doppler apical four-chamber ... -
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning
(Journal article; Peer reviewed, 2018)Recent studies in the field of deep learning suggest that motion estimation can be treated as a learnable problem. In this paper we propose a pipeline for functional imaging in echocardiography consisting of four central ... -
Automatic quantification of left ventricular function by medical students using ultrasound
(Peer reviewed; Journal article, 2020)Background Automatic analyses of echocardiograms may support inexperienced users in quantifying left ventricular (LV) function. We have developed an algorithm for fully automatic measurements of mitral annular plane ... -
Autonomi hos den psykiatriske pasienten - et spørsmål om etikk i sykepleie
(Bachelor thesis, 2023)Bakgrunn: Pasienter med alvorlige psykiske lidelser lever i gjennomsnitt 10-15 år kortere enn den gjennomsnittlige nordmann. Det er en rekke potensielle årsaker for dette, slik som rusproblematikk, men en utfordring som ...