Background and Purpose: Burnout syndrome (BOS), the popular phenomenon of our pandemic era, is examined in three dimensions: emotional exhaustion, depersonalization and cynicism, and personal inefficiency. One of the known and accepted ways of measuring BOS is Maslach Burnout Inventory (MBI), in which these three dimensions are measured by 22 items, using 5- or 7-point Likert scales. The aim of this study is to eliminate the loss of precision in BOS measurement and handle the subjectivity and uncertainty, as a result, to get rid of the bias caused by the classical way. Methods: To do this, fuzzy conjoint analysis (FCA) is used together with MBI. In the classical way, the calculations are made by assigning crisp values to the answers, which causes scientific bias and loss of precision because Likert scale type answers have subjectivity and uncertainty. Results: When the scores obtained with FCA are examined, all the scores and some BOS levels differ. When the position of the values according to the borders of the BOS levels is taken into account, it can be said that these tiny differences caused by the loss of precision make this difference. Conclusion: Findings show that the resulting scores changed significantly when calculations are made with FCA. Especially, when these scores are interpreted as intervals or grades, as in MBI, even tiny differences may result in significant scientific bias.

Background: The purpose of this study was to establish the newest trends in medical health-care systems. Methods: This is a theoretical reflection about next-generation medicine, which is the first step to begin with an exponential medical health care and break with past models. Results: In the past, the medical health care relied on an evidence-based practice to provide the best treatment options for patients, however, since 2010, a strong economic wave has shaped the perspective into a value-based medicine framework. We are facing new social dynamics and megatrends in our society. The emergence of 4.0 technologies is leading us to a pathway where a next-generation medicine will create an exponential value for the overall health-care ecosystem. Originality: Next-Generation Medicine (NGM) integrates health care into digital ecosystems linked by innovative interfaces, advanced analytics, centric customer models, and digital epidemiology surrounding a new concept of health and disease management. NGM is based on four core capabilities of physicians: creativity, collaboration, communication, and critical thinking added to advanced digital operations that create a systemic risk management. This integration is developed using bidirectional and integrative digital platforms operated by artificial intelligence/Machine Learning (ML) connected to the Internet of things and data collection in the cloud or in the edge computing. It is time for health-care visionaries to set prejudice aside and start contemplating the amazing landscape that next-generation medicine could offer.

Background and Purpose: Three-dimensional printing (3DP) selective laser melting (SLM) and electron beam melting (EBM) technique can construct porous Ti-6Aluminum-4Vanadium (Ti-6Al-4V) scaffolds with special microstructural and biomechanical properties. However, it is still needed to be tested for bone tissue engineering. Materials and Methods: To investigate the microstructure and surface modification of a porous titanium scaffold, 3DP-SLM technique was used, and the mechanical and biological performance of the scaffolds was compared with that fabricated by EBM technique. Ti-6Al-4V scaffolds were computer-designed and fabricated using low-power SLM (L-SLM). The microstructure morphologies of L-SLM Ti-6Al-4V (L-SLM-Ti) scaffolds were determined and compared with EBM-fabricated Ti-6Al-4V (EBM-Ti) scaffolds. Each scaffold was immersed with marrow clot for 1 h until fully combined with bone mesenchymal stem cells in clots. The biomechanical and cellular response of these two kinds of Ti-6Al-4V scaffolds were compared. Results: The L-SLM-Ti scaffolds showed a microstructure closer to the designed parameters than that of the EBM-Ti scaffolds. The L-SLM-Ti scaffold fibers had a rougher surface than the EBM-Ti scaffolds. Meanwhile, L-SLM-Ti scaffolds had a lower elasticity modulus and lower bearing force than EBM-Ti scaffold. Cell proliferation and the relative expression levels of OPN, COL1, and RUNX2 in L-SLM-Ti scaffolds was apparently higher than in the EBM-Ti scaffolds, with no significant difference found between the percentage of live cells found in L-SLM-Ti and EBM-Ti scaffolds. Conclusion: 3DP-Ti-6Al-4V scaffolds fabricated by L-SLM and designed with rougher surfaces and larger pore sizes may have more reasonable biomechanical properties and increased biological performance than traditional EBM-Ti scaffolds. These L-SLM-Ti scaffolds might be suitable candidates for bone defect repair.