Keyword search (4,163 papers available)

"Application" Keyword-tagged Publications:

Title Authors PubMed ID
1 Advancements in Magnetorheological Foams: Composition, Fabrication, AI-Driven Enhancements and Emerging Applications Khodaverdi H; Sedaghati R; 40732777
ENCS
2 Web-enhanced return-to-work coordination for employees with common mental disorders: reduction of sick leave duration and relapse Corbière M; Mazaniello-Chézol M; Lecomte T; Guay S; Panaccio A; Giguère CÉ; 39966766
PSYCHOLOGY
3 Proof-of-concept testing of a mobile application-delivered mindfulness exercise for emotional eaters: RAIN delivered as a step-by-step image sequence Carrière K; Siemers N; Thapar S; Knäuper B; 39114459
HKAP
4 Advancements in Hybrid Cellulose-Based Films: Innovations and Applications in 2D Nano-Delivery Systems Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V; 38667550
ENCS
5 Understanding Adolescents' Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study Gagnon MM; Brilz AR; Alberts NM; Gordon JL; Risling TL; Stinson JN; 38587886
PSYCHOLOGY
6 Call to action: equity, diversity, and inclusion in emergency medicine resident physician selection Primavesi R; Patocka C; Burcheri A; Coutin A; Elhalwi AM; Ali A; Pandya A; Gagné A; Johnston B; Thoma B; LeBlanc C; Fovet F; Gallinger J; Mohadeb J; Ragheb M; Dong S; Smith S; Oyedokun T; Newmarch T; Knight V; McColl T; 37368231
CONCORDIA
7 Hyperelastic Modeling and Validation of Hybrid-Actuated Soft Robot with Pressure-Stiffening Roshanfar M; Taki S; Sayadi A; Cecere R; Dargahi J; Hooshiar A; 37241524
ENCS
8 Human Activity Recognition with an HMM-Based Generative Model Manouchehri N; Bouguila N; 36772428
ENCS
9 Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis Bouzo V; Plourde H; Beckenstein H; Cohen TR; 34582258
PERFORM
10 A historical perspective on porphyrin-based metal-organic frameworks and their applications Zhang X; Wasson MC; Shayan M; Berdichevsky EK; Ricardo-Noordberg J; Singh Z; Papazyan EK; Castro AJ; Marino P; Ajoyan Z; Chen Z; Islamoglu T; Howarth AJ; Liu Y; Majewski MB; Katz MJ; Mondloch JE; Farha OK; 33678810
CNSR
11 A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. Khannouz M; Glatard T; 33202905
ENCS
12 Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial Ji Y; Plourde H; Bouzo V; Kilgour RD; Cohen TR; 32902389
PERFORM
13 Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. Amini S, Kersten-Oertel M 32038868
PERFORM

 

Title:Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters.
Authors:Amini SKersten-Oertel M
Link:https://www.ncbi.nlm.nih.gov/pubmed/32038868?dopt=Abstract
DOI:10.1049/htl.2019.0091
Publication:Healthcare technology letters
Keywords:HoloLens templateaugmented realityaugmented reality applicationaugmented reality mastectomy surgical planning prototypeavailable implantsbreast reconstructioneliminates sizer implantshealth carehealthcare technology lettersholographic implantsimage reconstructionmeasurement toolsmedical computingmedical image processingmultiple implantsprostheticssingle mastectomysingle patientsurgeonsurgerysystem datasettraditional waytwo-chamber implant
PMID:32038868 Category:Healthc Technol Lett Date Added:2020-02-11
Dept Affiliation: PERFORM
1 Department of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada H3G 2V8.
2 PERFORM Centre, Concordia University, Montréal, QC, Canada H4B 1R6.

Description:

Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters.

Healthc Technol Lett. 2019 Dec;6(6):261-265

Authors: Amini S, Kersten-Oertel M

Abstract

In breast reconstruction following a single mastectomy, the surgeon needs to choose between tens of available implants to find the one that can reproduce the symmetry of the patient's breasts. However, due to the lack of measurement tools this decision is made purely visually, which means the surgeon has to order multiple implants to confirm the size for every single patient. In this Letter, the authors present an augmented reality application, which enables surgeons to see the shape of the implants, as 3D holograms on the patient's body. They custom developed a two-chamber implant that can gain different shapes and be used to test the system. Furthermore, the system was tested in a user study with 13 subjects. The study showed that subjects were able to do a comparison between real and holographic implants and come to a decision about which should be used. This method can be quicker than the traditional way and eliminates sizer implants from the process. Further advantages of the method include the use of a more accurate, user-friendly device, which is easily extendable as new implants that are on the market can be easily added to the system dataset.

PMID: 32038868 [PubMed]





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