Blar i Fakultet for medisin og helsevitenskap (MH) på tittel

Viser treff 1109-1128 av 15693

    • Autismespekterforstyrrelse og sosial kompetanse 

      Ulla, Adrian Halbrend (Bachelor thesis, 2023)
      Sammendrag Problemstilling: Hvilken effekt kan intervensjoner ha for bedring av sosial kompetanse, herunder adaptive, sosiale og kommunikative ferdigheter, hos personer med autismespekterforstyrrelse, og hvor nødvendig ...

    • Autismespekterforstyrrelser hos barn i førskolealder i Sør-Trøndelag 2016–19 

      Eig, Kristin Brobakken; Brandkvist, Maria Charlotta; Lydersen, Stian; Høyland, Anne Lise (Peer reviewed; Journal article, 2022)
      BAKGRUNN Autismespekterforstyrrelser er en samlebetegnelse på tilstander som gir avvik i gjensidig sosial interaksjon, begrensede interesser og repetitiv atferd. Forekomsten har økt betydelig de siste årene, og det er ...

    • Autismespekterforstyrrelser og sosial trening med jevnaldrende i barneskolealder 

      Austmo, Anne Grete (Bachelor thesis, 2022)
      Tittel: Autismespekterforstyrrelser og sosial trening med jevnaldrende i barneskolealder. Bakgrunn: Bakgrunn for tema knyttes til en økning i antall personer som har fått en autismediagnose de siste årene, noe som vil ...

    • Autismespektervansker hos barn i barnehagen 

      Jensen, Trine Loktu (Master thesis, 2024)
      Bakgrunn: Psykiske vansker er et stort samfunnsmessig problem, som innebærer store samfunnsøkonomiske- og personlige kostnader. Forekomsten av psykiske lidelser blant førskole- og skolebarn i Norge er på omtrent 7 %. Barn ...

    • Autistiske menneskers smerte- og berøringssensitivitet 

      Wetting, Frigg Amalie; Wika, Sofie Alice Lundmark (Bachelor thesis, 2022)
      Sammendrag Tittel: Autistiske menneskers smerte- og berøringssensitivitet. Hensikt: Utforske kunnskapen som finnes om smerte- og berøringssensitivitet, forekomst og bakgrunns mekanismer, og drøfte fenomenets mulige betydning ...

    • The AutoActive Research Environment 

      Albrektsen, Sigurd Mørkved; Bøtker-Rasmussen, Kasper; Liverud, Anders Erik; Dalgard, Steffen Harald; Høgenes, Jakob; Jahren, Silje Ekroll; Kocbach, Jan; Seeberg, Trine Margrethe (Peer reviewed; Journal article, 2022)
      ARE consists of three different software modules; ActivityPresenter, a Matlab toolbox, and a Python toolbox. ActivityPresenter is created to simplify the process of visualising, synchronising, and organising data, such as ...

    • Autocrine activin A signalling in ovarian cancer cells regulates secretion of interleukin 6, autophagy, and cachexia 

      Pettersen, Kristine; Andersen, Sonja Benedikte; van der Veen, Anna; Nonstad, Unni; Hatakeyema, Shinji; Lambert, Christian; Lach-Trifilieff, Estelle; Moestue, Siver Andreas; Kim, Jana; Grønberg, Bjørn Henning; Schilb, Alain; Jacobi, Carsten; Bjørkøy, Geir (Journal article; Peer reviewed, 2019)
      Background The majority of patients with advanced cancer develop cachexia, a weight loss syndrome that severely reduces quality of life and limits survival. Our understanding of the underlying mechanisms that cause the ...

    • Autologous BPTB ACL Reconstruction Results in Lower Failure Rates Than ACL Repair with and without Synthetic Augmentation at 30 Years of Follow-up 

      Sporsheim, Anne; Gifstad, Tone; Lundemo, Trond Olav; Engebretsen, Lars; Strand, Torbjørn; Mølster, Anders; Drogset, Jon Olav (Peer reviewed; Journal article, 2019)
      Background: The aim of this study was to compare the 30-year follow-up results after treatment of anterior cruciate ligament (ACL) ruptures with 3 different surgical procedures. Methods: A total of 150 patients with ...

    • Automated 2-D and 3-D Left Atrial Volume Measurements Using Deep Learning 

      Hu, Jieyu; Olaisen, Sindre Hellum; Smistad, Erik; Dalen, Håvard; Løvstakken, Lasse (Journal article; Peer reviewed, 2023)
      Objective: Echocardiography, a critical tool for assessing left atrial (LA) volume, often relies on manual or semi-automated measurements. This study introduces a fully automated, real-time method for measuring LA volume ...

    • Automated blood glucose control: Development and Testing of an Artificial Endocrine Pancreas Using a Novel Intravascular Glucose Monitor and a New Approach to Insulin Pharmacology 

      Skjærvold, Nils Kristian (Doktoravhandlinger ved NTNU, 1503-8181; 2012:275, Doctoral thesis, 2012)
      This thesis describes the stepwise development and testing of the components of a novel artificial endocrine pancreas, consisting of a continuous glucose monitor, an insulin infusion device and a control algorithm. The ...

    • Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings 

      Tasken, Anders Austlid; Berg, Erik Andreas Rye; Grenne, Bjørnar Leangen; Holte, Espen; Dalen, Håvard; Stølen, Stian Bergseng; Lindseth, Frank; Aakhus, Svend; Kiss, Gabriel Hanssen (Peer reviewed; Journal article, 2023)
      Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves ...

    • Automated generation of genome-scale metabolic draft reconstructions based on KEGG 

      Karlsen, Emil; Schulz, Christian; Almaas, Eivind (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 

      Papoutsoglou, Georgios; Karaglani, Makrina; Lagani, Vincenzo; Thomson, Naomi; Røe, Oluf Dimitri; Tsamardinos, Ioannis; Chatzaki, Ekaterini (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 

      Zhong, Allison Y.; Digma, Leonardino A.; Hussain, Troy; Feng, Christine H.; Conlin, Christopher C.; Tye, Karen; Lui, Asona J.; Andreassen, Maren Marie Sjaastad; Rodríguez-Soto, Ana E.; Karunamuni, Roshan; Kuperman, Joshua; Kane, Christopher J.; Rakow-Penner, Rebecca; Hahn, Michael E.; Dale, Anders M.; Seibert, Tyler M. (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 

      Vassilieva, Alexandra; Olsen, Markus Harboe; Peinkhofer, Costanza; Knudsen, Gitte M; Kondziella, Daniel (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 

      Kohtala, Sampsa; Nedal, Tonje Marie Vikene; Carlo, Kriesi; Moen, Siv Helen; Ma, Qianli; Ødegaard, Kristin Sirnes; Standal, Therese; Steinert, Martin (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 

      Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Selnæs, Kirsten Margrete; Bathen, Tone Frost; Elschot, Mattijs (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 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (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 

      Østvik, Andreas (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 

      Yu, Jinyang; Tasken, Anders Austlid; Flade, Hans Martin; Skogvoll, Eirik; Berg, Erik Andreas Rye; Grenne, Bjørnar Leangen; Rimehaug, Audun Eskeland; Kirkeby-Garstad, Idar; Aakhus, Svend (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 ...