Italo Masiello

Prof. Italo Masiello

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 January 2019 in Journal of Medical Internet Research
Verified
Journal Article
Open access
BKBhone Myint Kyaw
Bhone Myint Kyaw
NSNakul Saxena
Nakul Saxena
PPPawel Posadzki
Pawel Posadzki
JVJitka Vseteckova
Jitka Vseteckova
CNCharoula Nikolaou
Charoula Nikolaou
LCLorainne Tudor Car
Lorainne Tudor Car
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Virtual Reality (VR) is a technology that allows the user to explore and manipulate computer-generated real or artificial three-dimensional (3D) multimedia sensory environments in real time to gain practical knowledge that can be used in clinical practice. Objective: The aim of this systematic review was to evaluate the effectiveness of virtual reality (VR) for educating health professions and improving their knowledge, cognitive skills, attitudes and satisfaction. Methods: We performed a systematic review of the effectiveness of virtual reality in pre- and post-registration health professions education following the gold standard Cochrane methodology. We searched seven databases from the year 1990 up to August 2017. No language restrictions were applied. We included randomized controlled trials and cluster-randomized trials. We independently selected studies, extracted data and assessed risk of bias, then compared the information in pairs. We contacted study authors for additional information if necessary. All pooled analyses were based on random-effects models. We used the GRADE approach to rate the quality of the body of evidence. Results: Thirty-one studies (N = 2407) were included. Meta-analysis of eight trials found that VR slightly improves post-intervention knowledge scores when compared with traditional learning (SMD = 0.44, 95% CI: 0.18, 0.69, I2 = 49%, N = 603) or to other types of digital education such as online or digital education (SMD = 0.43, 95% CI: 0.07, 0.79, I2 = 78%, N = 608, low certainty evidence). Another meta-analysis of four trials found that VR improves health professions cognitive skills when compared with traditional learning (SMD = 1.12, 95% CI: 0.81, 1.43, I2 = 0%, N = 235). Two studies compared VR to other forms of digital education on skills, favoring the VR group (SMD = 0.50, 95% CI: 0.32, 0.69, I2 = 0%, N = 467, moderate effect size, low certainty evidence). The findings for attitudes and satisfaction were mixed and inconclusive. No studies reported patient-related outcomes, behavior change or unintended/adverse effects of the VR. Overall, the certainty of evidence according to the GRADE criteria ranged from low to moderate. We downgraded our certainty of the evidence primarily because of the risk of bias and/or inconsistency. Conclusions: We found evidence suggesting that virtual reality improves post-intervention knowledge and skills outcomes of health professions when compared to traditional education or other types of digital education such as online or offline digital education. The findings on other outcomes are limited. Future research should evaluate more on the effectiveness of immersive and interactive forms of VR and evaluate other outcomes such as attitude, satisfaction, cost-effectiveness and clinical practice or behavior change.

8 July 2014 in PeerJ
Verified
Journal Article
Open access
PDF file
EZEgui Zhu
Egui Zhu
AHArash Hadadgar
Arash Hadadgar
Italo MasielloItalo Masiello
Italo Masiello
NZNabil Zary
Nabil Zary
Background. The effective development of healthcare competencies poses great educational challenges. A possible approach to provide learning opportunities is the use of augmented reality (AR) where virtual learning experiences can be embedded in a real physical context. The aim of this study was to provide a comprehensive overview of the current state of the art in terms of user acceptance, the AR applications developed and the effect of AR on the development of competencies in healthcare.Methods. We conducted an integrative review. Integrative reviews are the broadest type of research review methods allowing for the inclusion of various research designs to more fully understand a phenomenon of concern. Our review included multi-disciplinary research publications in English reported until 2012.Results. 2529 research papers were found from ERIC, CINAHL, Medline, PubMed, Web of Science and Springer-link. Three qualitative, 20 quantitative and 2 mixed studies were included. Using a thematic analysis, we’ve described three aspects related to the research, technology and education. This study showed that AR was applied in a wide range of topics in healthcare education. Furthermore acceptance for AR as a learning technology was reported among the learners and its potential for improving different types of competencies.Discussion. AR is still considered as a novelty in the literature. Most of the studies reported early prototypes. Also the designed AR applications lacked an explicit pedagogical theoretical framework. Finally the learning strategies adopted were of the traditional style ‘see one, do one and teach one’ and do not integrate clinical competencies to ensure patients’ safety.

1 April 2002 in Cerebral Cortex
Verified
Journal Article
Open access
PDF file
GIGiorgio M. Innocenti
Giorgio M. Innocenti
PMPaul R. Manger
Paul R. Manger
Italo MasielloItalo Masiello
Italo Masiello
ICIsabelle Colin
Isabelle Colin
LTLaurent Tettoni
Laurent Tettoni
Visual areas 17, 18, 19 and 21 of the ferret can be distinguished on the grounds of cytoarchitecture, myeloarchitecture and cytochrome oxidase reactivity, and with transneuronal tract-tracing from the eye. Each visual area contains callosally connected, as well as acallosal, regions. The callosal connections originate mainly from layers 2 and 3 and, more widely, from layer 6. Callosally projecting neurons and callosal terminals are organized in three roughly medio-laterally oriented bands. The posterior and intermediate bands straddle the 17/18 and 19/21 border, respectively; the third band extends along the medial bank of the lateral suprasylvian sulcus. These bands are linked by a variable number of bridges of connections that demarcate acallosal islands. The distribution of callosal connections predicts the existence of vertical meridian representations corresponding to each of the bands and of non-isotropic representations of the visual field within the bridges and islands.

1 December 2002 in Cerebral Cortex
Verified
Journal Article
Open access
PDF file
PMPaul R. Manger
Paul R. Manger
Italo MasielloItalo Masiello
Italo Masiello
GIGiorgio M. Innocenti
Giorgio M. Innocenti
On grounds of electrophysiological mapping, cytoarchitecture, myeloarchitecture and callosal and thalamic connectivity, we have identified two cortical areas in the posterior parietal cortex of the ferret: posterior parietal caudal and rostral (PPc and PPr). These areas occupy the lateral and suprasylvian gyri, from the cingulate sulcus (medially) to the suprasylvian sulcus (laterally) and lie between visual areas 18 and 21 (posteriorly) and the somatosensory areas (anteriorly). Within both areas a coarse representation of the visual field was found and within PPr there was also a representation of the body. Each representation mirrors those within neighboring areas. Cytoarchitectonic and myeloarchitectonic fields within this cortical region did not correspond in any simple way to the physiological representations. The architectonic differences correlate to differential callosal connectivity, with predominant connectivity corresponding to the upper hemifield/head representations. PPr and PPc receive thalamic projections from a different, but overlapping, complement of thalamic nuclei. The superimposition of somatic and visual maps in PPr might relate to the probable role of this area in transforming retinal-centered to body-centered spatial coordinates. The organization of the parietal areas in the ferret resembles that of the flying fox and might unveil a common organizational plan from which the primate posterior parietal cortex evolved.

1 April 2002 in Cerebral Cortex
Verified
Journal Article
Open access
PDF file
PMPaul R. Manger
Paul R. Manger
DKDaniel Kiper
Daniel Kiper
Italo MasielloItalo Masiello
Italo Masiello
LMLuis Murillo
Luis Murillo
LTLaurent Tettoni
Laurent Tettoni
GIGiorgio M. Innocenti
Giorgio M. Innocenti
We describe representations of the visual field in areas 18, 19 and 21 of the ferret using standard microelectrode mapping techniques. In all areas the azimuths are represented as islands of peripheral visual field surrounded by central visual field representation. The zero meridian was found at the 17/18 and 19/21 borders; at the 18/19 and anterior border of 21 the relative periphery of the visual field was found. In areas 18 and 19, elevations are represented in a smooth medio-lateral progression from lower to upper visual field. In several cases the elevations in area 21 evidenced a similar medio-lateral progression; however, in others the elevations exhibited a split representation of the horizontal meridian. Anatomically determined callosal connections coincided with the representation of azimuths near the zero meridian. Medio-lateral bands of callosal connectivity that straddle the 17/18 and 19/21 borders are connected by bridges of callosally projecting cells. Acallosal cortical islands corresponded to the peripheral visual field and were found straddling the 18/19 border and the anterior border of area 21. The results are discussed in relation to callosal connectivity and retinotopy in extrastriate visual cortex and to proposed homologies of carnivore and primate visual cortex.

18 September 2015 in JMIR Medical Education
Verified
Journal Article
Open access
EZEgui Zhu
Egui Zhu
ALAnneliese Lilienthal
Anneliese Lilienthal
LSLauren Aquino Shluzas
Lauren Aquino Shluzas
Italo MasielloItalo Masiello
Italo Masiello
NZNabil Zary
Nabil Zary
Augmented reality (AR) is increasingly used across a range of subject areas in health care education as health care settings partner to bridge the gap between knowledge and practice. As the first contact with patients, general practitioners (GPs) are important in the battle against a global health threat, the spread of antibiotic resistance. AR has potential as a practical tool for GPs to combine learning and practice in the rational use of antibiotics. This paper was driven by learning theory to develop a mobile augmented reality education (MARE) design framework. The primary goal of the framework is to guide the development of AR educational apps. This study focuses on (1) identifying suitable learning theories for guiding the design of AR education apps, (2) integrating learning outcomes and learning theories to support health care education through AR, and (3) applying the design framework in the context of improving GPs' rational use of antibiotics. The design framework was first constructed with the conceptual framework analysis method. Data were collected from multidisciplinary publications and reference materials and were analyzed with directed content analysis to identify key concepts and their relationships. Then the design framework was applied to a health care educational challenge. The proposed MARE framework consists of three hierarchical layers: the foundation, function, and outcome layers. Three learning theories-situated, experiential, and transformative learning-provide foundational support based on differing views of the relationships among learning, practice, and the environment. The function layer depends upon the learners' personal paradigms and indicates how health care learning could be achieved with MARE. The outcome layer analyzes different learning abilities, from knowledge to the practice level, to clarify learning objectives and expectations and to avoid teaching pitched at the wrong level. Suggestions for learning activities and the requirements of the learning environment form the foundation for AR to fill the gap between learning outcomes and medical learners' personal paradigms. With the design framework, the expected rational use of antibiotics by GPs is described and is easy to execute and evaluate. The comparison of specific expected abilities with the GP personal paradigm helps solidify the GP practical learning objectives and helps design the learning environment and activities. The learning environment and activities were supported by learning theories. This paper describes a framework for guiding the design, development, and application of mobile AR for medical education in the health care setting. The framework is theory driven with an understanding of the characteristics of AR and specific medical disciplines toward helping medical education improve professional development from knowledge to practice. Future research will use the framework as a guide for developing AR apps in practice to validate and improve the design framework.