Pub Date : 2023-10-16DOI: 10.1007/s12553-023-00783-x
Alejandro Ernesto Quiñones-Espín, Marlen Perez-Diaz, Rafaela Mayelín Espín-Coto, Deijany Rodriguez-Linares, José Daniel Lopez-Cabrera
{"title":"Automatic detection of breast masses using deep learning with YOLO approach","authors":"Alejandro Ernesto Quiñones-Espín, Marlen Perez-Diaz, Rafaela Mayelín Espín-Coto, Deijany Rodriguez-Linares, José Daniel Lopez-Cabrera","doi":"10.1007/s12553-023-00783-x","DOIUrl":"https://doi.org/10.1007/s12553-023-00783-x","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-05DOI: 10.1007/s12553-023-00784-w
Lívia G Fernandes, Karime A Mescouto, Leonardo O P Costa, Bruno Tirotti Saragiotto
Abstract Purpose The use of internet for health-related purposes has increased in the past years; however, the overabundance of information led the world to a health “infodemic”. Little is known about the ways public health users seek health information online and how it influences the relationship between patients and healthcare practitioners. We aimed to investigate how public health users seek health information online and how this practice affects health encounters. Methods We conducted a qualitative study in a public secondary level healthcare facility. Thirty participants were interviewed using a semi-structured grid designed upon the definition of digital health literacy. Participants were mostly women with an average age of 50 years old and educational level equal to or lower than high school degree. Traditionally and digitally illiterate participants participated in the study. Data analysis was performed using a reflexive thematic analysis underpinned by critical theory. Results We identified three interrelated themes: (1) failing to be a digitally engaged patient, (2) health information on the internet resonates better with individuals’ literacy, and (3) vulnerability is welcomed on the internet. Themes explored power dynamics that appeared to be mediated by formal knowledge, sociocultural contexts, use of technical language, and the presence of emotional and affective domains. Conclusion Our findings suggest that health information online might facilitate the understanding of technical terms and fill an emotional gap often overlooked by healthcare practitioners. Findings may assist health professionals in developing ways of considering health information online as part of the health encounter.
{"title":"Ways public health users interact with online health information: a qualitative study","authors":"Lívia G Fernandes, Karime A Mescouto, Leonardo O P Costa, Bruno Tirotti Saragiotto","doi":"10.1007/s12553-023-00784-w","DOIUrl":"https://doi.org/10.1007/s12553-023-00784-w","url":null,"abstract":"Abstract Purpose The use of internet for health-related purposes has increased in the past years; however, the overabundance of information led the world to a health “infodemic”. Little is known about the ways public health users seek health information online and how it influences the relationship between patients and healthcare practitioners. We aimed to investigate how public health users seek health information online and how this practice affects health encounters. Methods We conducted a qualitative study in a public secondary level healthcare facility. Thirty participants were interviewed using a semi-structured grid designed upon the definition of digital health literacy. Participants were mostly women with an average age of 50 years old and educational level equal to or lower than high school degree. Traditionally and digitally illiterate participants participated in the study. Data analysis was performed using a reflexive thematic analysis underpinned by critical theory. Results We identified three interrelated themes: (1) failing to be a digitally engaged patient, (2) health information on the internet resonates better with individuals’ literacy, and (3) vulnerability is welcomed on the internet. Themes explored power dynamics that appeared to be mediated by formal knowledge, sociocultural contexts, use of technical language, and the presence of emotional and affective domains. Conclusion Our findings suggest that health information online might facilitate the understanding of technical terms and fill an emotional gap often overlooked by healthcare practitioners. Findings may assist health professionals in developing ways of considering health information online as part of the health encounter.","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134947786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1007/s12553-023-00773-z
Roberto Mosca, Marco Mosca, Roberto Revetria, Fabio Currò, Federico Briatore
Abstract Purpose The purpose of this research is to provide an effective contribution to contrast the spread of Covid19. Therefore, the authors aimed to model a new strategy (technologies and processes), using the principles made available by Industry 4.0. Method The strategy consists in an IoT thermoscanner (developed by the authors, strategically placed throughout the settlement), and an innovative method of disinfection (achieved by redesigning the sanitization processes, using UV-C rays and gaseous Ozone produced by IoT machines, again conceptualized and developed by the authors, being capable of reproducing the Chapman Cycle and its associated benefits). This method was discussed in the article "Sanitizing of Confined Spaces Using Gaseous Ozone Produced by 4.0 Machines," which was presented at the WCE 2021 IAENG Congress (Best Paper Award of the 2021 International Conference of Systems Biology and Bioengineering). Result The results consist in: 1. an absolute disinfection system based on a reversible cycle Oxygen-Ozone-Oxygen, with quick re-habitability of the treated rooms, at a minimum treatment costs, without expensive and harmful chemicals or moist water vapor (incompatible by nature with paper and electronics); 2. a 4.0 device for quick detection of fever; 3. clear processes for disease spread prevention. Conclusion The target contribution was widely achieved, providing machinery, processes and procedures. The authors aim now to extend the solution proposed to any other type virus, bacteria, or pathogen agent introduced by subjects who, despite being unaware of acting as vectors, develop infection along their stay in hotels, offices or any other public place.
{"title":"An innovative 4.0 system to prevent the spreading of the diseases which threaten the globalized world","authors":"Roberto Mosca, Marco Mosca, Roberto Revetria, Fabio Currò, Federico Briatore","doi":"10.1007/s12553-023-00773-z","DOIUrl":"https://doi.org/10.1007/s12553-023-00773-z","url":null,"abstract":"Abstract Purpose The purpose of this research is to provide an effective contribution to contrast the spread of Covid19. Therefore, the authors aimed to model a new strategy (technologies and processes), using the principles made available by Industry 4.0. Method The strategy consists in an IoT thermoscanner (developed by the authors, strategically placed throughout the settlement), and an innovative method of disinfection (achieved by redesigning the sanitization processes, using UV-C rays and gaseous Ozone produced by IoT machines, again conceptualized and developed by the authors, being capable of reproducing the Chapman Cycle and its associated benefits). This method was discussed in the article \"Sanitizing of Confined Spaces Using Gaseous Ozone Produced by 4.0 Machines,\" which was presented at the WCE 2021 IAENG Congress (Best Paper Award of the 2021 International Conference of Systems Biology and Bioengineering). Result The results consist in: 1. an absolute disinfection system based on a reversible cycle Oxygen-Ozone-Oxygen, with quick re-habitability of the treated rooms, at a minimum treatment costs, without expensive and harmful chemicals or moist water vapor (incompatible by nature with paper and electronics); 2. a 4.0 device for quick detection of fever; 3. clear processes for disease spread prevention. Conclusion The target contribution was widely achieved, providing machinery, processes and procedures. The authors aim now to extend the solution proposed to any other type virus, bacteria, or pathogen agent introduced by subjects who, despite being unaware of acting as vectors, develop infection along their stay in hotels, offices or any other public place.","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134993821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1007/s12553-023-00782-y
Juan Olmos, Brayan Valenzuela, Fabio Martínez
Abstract Purpose Lateralisation of motor symptoms is a prevalent characteristic of Parkinson’s disease (PD). Hence, unilateral involvement is crucial for personalized treatments and measuring therapy effectiveness. Nonetheless, most motor symptoms, including lateralization, are mainly evident at advanced stages of the disease. Recently, ocular fixation instability emerged as a promising PD biomarker with a high sensitivity to discriminate PD. We hypothesize that unilateral involvement can be recovered from the assessment and quantification of PD-related ocular abnormalities. Methods This method proposes a computer-based strategy to quantify PD lateralization from ocular fixation patterns. The method follows a markerless strategy fed by slices with spatiotemporal eye movement information. A deep convolutional model was used to discriminate between PD and a control population. Additionally, model prediction probabilities were analyzed to select the dominant eye associated with unilateral involvement. Results The proposed approach reports an average accuracy of 91.92% classifying PD. Interestingly, using the dominant side, the approach achieves an average PD prediction probability of 93.3% (95% CI: [91.61,95.07]), evidencing capabilities to capture the most affected side. Besides, the reported results strongly correlate with the disease, even for patients categorized at early stages. A low-dimensional projection tool was used to support the classification results by finding a 2d space that eases the discrimination among classes. Conclusions The strategy is sensitive to detecting and classifying PD fixational patterns and determining the side with major impairments. This approach may be a potential tool to support the characterization of the disease and as an alternative to defining personalized treatments.
{"title":"Quantification of Parkinsonian unilateral involvement from ocular fixational patterns using a deep video representation","authors":"Juan Olmos, Brayan Valenzuela, Fabio Martínez","doi":"10.1007/s12553-023-00782-y","DOIUrl":"https://doi.org/10.1007/s12553-023-00782-y","url":null,"abstract":"Abstract Purpose Lateralisation of motor symptoms is a prevalent characteristic of Parkinson’s disease (PD). Hence, unilateral involvement is crucial for personalized treatments and measuring therapy effectiveness. Nonetheless, most motor symptoms, including lateralization, are mainly evident at advanced stages of the disease. Recently, ocular fixation instability emerged as a promising PD biomarker with a high sensitivity to discriminate PD. We hypothesize that unilateral involvement can be recovered from the assessment and quantification of PD-related ocular abnormalities. Methods This method proposes a computer-based strategy to quantify PD lateralization from ocular fixation patterns. The method follows a markerless strategy fed by slices with spatiotemporal eye movement information. A deep convolutional model was used to discriminate between PD and a control population. Additionally, model prediction probabilities were analyzed to select the dominant eye associated with unilateral involvement. Results The proposed approach reports an average accuracy of 91.92% classifying PD. Interestingly, using the dominant side, the approach achieves an average PD prediction probability of 93.3% (95% CI: [91.61,95.07]), evidencing capabilities to capture the most affected side. Besides, the reported results strongly correlate with the disease, even for patients categorized at early stages. A low-dimensional projection tool was used to support the classification results by finding a 2d space that eases the discrimination among classes. Conclusions The strategy is sensitive to detecting and classifying PD fixational patterns and determining the side with major impairments. This approach may be a potential tool to support the characterization of the disease and as an alternative to defining personalized treatments.","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135637796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1007/s12553-023-00775-x
F. Bini, Michela Franzo', A. Maccaro, Davide Piaggio, Leandro Pecchia, F. Marinozzi
{"title":"Is medical device regulatory compliance growing as fast as extended reality to avoid misunderstandings in the future?","authors":"F. Bini, Michela Franzo', A. Maccaro, Davide Piaggio, Leandro Pecchia, F. Marinozzi","doi":"10.1007/s12553-023-00775-x","DOIUrl":"https://doi.org/10.1007/s12553-023-00775-x","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"5 1","pages":"831 - 842"},"PeriodicalIF":2.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72775190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1007/s12553-023-00779-7
A. Burmann, Susann Schepers, Sven Meister
{"title":"Acceptance factors of digitalization in hospitals: a mixed-methods study","authors":"A. Burmann, Susann Schepers, Sven Meister","doi":"10.1007/s12553-023-00779-7","DOIUrl":"https://doi.org/10.1007/s12553-023-00779-7","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"20 1","pages":"843 - 859"},"PeriodicalIF":2.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86134594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1007/s12553-023-00778-8
Zeynep Altinay
{"title":"Electronic medical records and patient engagement: examining post-adoptive and non-adoptive behavior","authors":"Zeynep Altinay","doi":"10.1007/s12553-023-00778-8","DOIUrl":"https://doi.org/10.1007/s12553-023-00778-8","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"110 1","pages":"799 - 810"},"PeriodicalIF":2.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90751137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1007/s12553-023-00781-z
Francesco Curia
{"title":"Explainable and transparency machine learning approach to predict diabetes develop","authors":"Francesco Curia","doi":"10.1007/s12553-023-00781-z","DOIUrl":"https://doi.org/10.1007/s12553-023-00781-z","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134917986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1007/s12553-023-00777-9
E. Sosu, M. Boadu, F. Hasford, S. Inkoom, S. Issahaku, T. Sackey, M. Pokoo-Aikins, T. Dery, E. Eduful, Linda Osei-Poku, L. A. Sarsah, K. O. Akyea-Larbi
{"title":"Physics audit of selected diagnostic X-Ray machines in Ghana: towards implementation of a national dosimetry audit programme","authors":"E. Sosu, M. Boadu, F. Hasford, S. Inkoom, S. Issahaku, T. Sackey, M. Pokoo-Aikins, T. Dery, E. Eduful, Linda Osei-Poku, L. A. Sarsah, K. O. Akyea-Larbi","doi":"10.1007/s12553-023-00777-9","DOIUrl":"https://doi.org/10.1007/s12553-023-00777-9","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"30 1","pages":"791 - 798"},"PeriodicalIF":2.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76770001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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