Joda T, Bornstein MM, Jung RE, Ferrari M, Waltimo T, and Zitzmann NU
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Mar 18; Vol. 17 (6). Date of Electronic Publication: 2020 Mar 18.
Forecasting, Humans, Quality of Life, Artificial Intelligence, Dental Research trends, and Virtual Reality
The digital transformation in dental medicine, based on electronic health data information, is recognized as one of the major game-changers of the 21st century to tackle present and upcoming challenges in dental and oral healthcare. This opinion letter focuses on the estimated top five trends and innovations of this new digital era, with potential to decisively influence the direction of dental research: (1) rapid prototyping (RP), (2) augmented and virtual reality (AR/VR), (3) artificial intelligence (AI) and machine learning (ML), (4) personalized (dental) medicine, and (5) tele-healthcare. Digital dentistry requires managing expectations pragmatically and ensuring transparency for all stakeholders: patients, healthcare providers, university and research institutions, the medtech industry, insurance, public media, and state policy. It should not be claimed or implied that digital smart data technologies will replace humans providing dental expertise and the capacity for patient empathy. The dental team that controls digital applications remains the key and will continue to play the central role in treating patients. In this context, the latest trend word is created: augmented intelligence, e.g., the meaningful combination of digital applications paired with human qualities and abilities in order to achieve improved dental and oral healthcare, ensuring quality of life.
B Lewis J, S Brady S, Sutcliffe S, L Smith A, R Mueller E, Rudser K, D Markland A, Stapleton A, Gahagan S, Cunningham SD, and Prevention Of Lower Urinary Tract Symptoms Plus Research Consortium
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Jun 17; Vol. 17 (12). Date of Electronic Publication: 2020 Jun 17.
Female, Health Status, Humans, Protective Factors, Risk Factors, United States epidemiology, Lower Urinary Tract Symptoms, Urinary Bladder, and Urologic Diseases epidemiology
Lower urinary tract symptoms affect a substantial number of women in the United States (U.S.) and globally. In 2015, the Prevention of Lower Urinary tract Symptoms in women (PLUS) Research Consortium was funded to establish the scientific basis for prevention efforts by (1) understanding healthy bladder function and (2) identifying risk and protective factors for bladder health in women across the lifecourse. This transdisciplinary consortium generated a list of over 600 candidate risk and protective factors for bladder health in women and girls and refined and prioritized these into 29 focused research questions to inform a national longitudinal observational study in the U.S. This paper describes that process using design thinking, a human-centered set of principles and strategies by which innovations are developed, as a framework. Design thinking is an iterative process consisting of five stages: Empathizing with end-users of innovations, Defining core principles girding the work, Ideation of all possible solutions, and rapid-cycle Prototyping and Testing of solutions. Lessons learned are offered to inform future prevention science research endeavors that might benefit from such an approach.
Vallentin-Holbech L, Dalgaard Guldager J, Dietrich T, Rundle-Thiele S, Majgaard G, Lyk P, and Stock C
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Feb 09; Vol. 17 (3). Date of Electronic Publication: 2020 Feb 09.
Adolescent, Adult, Communication, Emotions, Female, Humans, Peer Group, Young Adult, Alcohol-Related Disorders prevention control, Computer Simulation, Health Promotion methods, and Virtual Reality
Collaborative knowledge generation and involvement of users is known to improve health promotion intervention development, but research about the roles and perspectives of users in the co-creation process is sparse. This research aimed to study how young people perceived their involvement in a co-creation process focussed on the development of a gamified virtual reality (VR) simulation-VR FestLab. The Living Lab methodology was applied to structure and guide the co-creation process. Living Lab participants were comprised of students, health promotion practitioners, researchers, and film and gaming experts who collaboratively designed and created the content and structure of the VR FestLab. Semi-structured interviews were conducted with nine students who participated in the Living Lab and represented young end users. Interviews were tape-recorded, transcribed and thematically analysed. Students described that they had influence on their tasks. They felt included and expressed that the collaboration with and feedback from peers and other stakeholders increased their self-efficacy and empowered them to take ownership and generate new ideas. Participants voiced that they lacked information about the final production of VR FestLab. Co-creation guided by the Living Lab methodology produced added value in terms of empowerment and increased self-efficacy for the students involved. Future Living Labs should plan for communication with participants about further development and implementation processes following ideation and prototyping phase.
Hanisch M, Kroeger E, Dekiff M, Timme M, Kleinheinz J, and Dirksen D
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Apr 22; Vol. 17 (8). Date of Electronic Publication: 2020 Apr 22.
Humans, Computer-Aided Design, Education, Dental, Models, Anatomic, and Printing, Three-Dimensional
Background: Most simulation models used at university dental clinics are typodonts. Usually, models show idealized eugnathic situations, which are rarely encountered in everyday practice. The aim of this study was to use 3D printing technology to manufacture individualized surgical training models for root tip resection (apicoectomy) on the basis of real patient data and to compare their suitability for dental education against a commercial typodont model. Methods: The training model was designed using CAD/CAM (computer-aided design/computer-aided manufacturing) technology. The printer used to manufacture the models employed the PolyJet technique. Dental students, about one year before their final examinations, acted as test persons and evaluated the simulation models on a visual analogue scale (VAS) with four questions (Q1-Q4). Results: A training model for root tip resection was constructed and printed employing two different materials (hard and soft) to differentiate anatomical structures within the model. The exercise was rated by 35 participants for the typodont model and 33 students for the 3D-printed model. Wilcoxon rank sum tests were carried out to identify differences in the assessments of the two model types. The alternative hypothesis for each test was: "The rating for the typodont model is higher than that for the 3D-printed model". As the p-values reveal, the alternative hypothesis has to be rejected in all cases. For both models, the gingiva mask was criticized. Conclusions: Individual 3D-printed surgical training models based on real patient data offer a realistic alternative to industrially manufactured typodont models. However, there is still room for improvement with respect to the gingiva mask for learning surgical incision and flap formation.