Experiences Receiving and Delivering Virtual Health Care For Women: Qualitative Evidence Synthesis by Karen M Goldstein, Sharron Rushton, Allison A Lewinski, Abigail Shapiro, Tiera Lanford-Davey, Jessica N Coleman, Neetu Chawla, Dhara B Patel, Katherine Van Loon, Megan Shepherd-Banigan, Catherine Sims, Sarah Cantrell, Susan Alton Dailey, Jennifer M Gierisch

“…Data reduction was performed using inductive and deductive reasoning. …”
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Testing and Iterative Improvement of the CEN ISO/TS 82304-2 Health App Quality Assessment: Pilot Interrater Reliability Study by Anna-Lena Frey, Diana Matei, Ben Phillips, Adam McCabe, Rachel Fuller, Begoña Laibarra, Laura Alonso, Victor de la Hoz, Carme Pratdepadua Bufill, Berta Llebot Casajuana, Giuseppe D'Avenio, Pier Angelo Sottile, Laura Melania Rocchi, Matteo Errera, Yasmine Laaissaoui, Michael Cardinal, Menno Kok, Petra Hoogendoorn

“… BackgroundWith the increasing use of health apps and ongoing concerns regarding their safety, effectiveness, and data privacy, numerous health app quality assessment frameworks have emerged. …”
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BESPOKE study protocol: a multicentre, prospective observational study to evaluate the impact of circulating tumour DNA guided therapy on patients with colorectal cancer by Scott Kopetz, Axel Grothey, Shifra Krinshpun, Meenakshi Malhotra, Paul Billings, Angel Rodriguez, Alexey Aleshin, Sarah Sawyer, Michelle Munro, Pashtoon Murtaza Kasi, Jessica Guilford, Sascha Ellers, Jacob Wulff, Nicole Hook, Allyson Koyen Malashevich, Solomon Moshkevich

“…The secondary endpoints are MRD clearance rate (MRD+ to MRD−) during or after adjuvant chemotherapy, percentage of patients that undergo surgery for oligometastatic recurrence, survival of MRD-negative patients treated with adjuvant chemotherapy versus no adjuvant chemotherapy (active surveillance), overall survival, examine the number of stage I CRC that have recurrent disease detected postsurgery, and patient-reported outcomes.Ethics and dissemination This study has received ethical approval from the Advarra Institutional Review Board (IRB) protocol: Natera—20-041-NCP/3766.01, BESPOKE Study of ctDNA Guided Therapy in Colorectal Cancer (BESPOKE CRC) (Pro00041473) on 10 June 2021. Data protection and privacy regulations will be strictly observed in the capturing, forwarding, processing and storing of patients’ data. …”
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Advancing sustainability: The impact of emerging technologies in agriculture by Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe, Jeewan Gamage, Chamini Guruge, Sera Senaratne, Thevin Randika, Chamila Rathnayake, Zammil Hameed, Terrence Madhujith, Othmane Merah

“…However, it is important to carefully address ethical and socio-economic considerations, including accessibility and data privacy, to manage these effects effectively. …”
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Acceptability of Guided Symptom Entry and Asynchronous Clinical Communication Software Among Primary Care Staff: Qualitative Study by Riina Raudne, Taavi Tillmann

“…The software was reported to satisfy perceived feature needs for patient verification, privacy and data security, editable plain-language symptom summaries of symptoms, and integration with prewritten response templates (particularly for staff who were nonnative speakers). …”
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Dimensions related to telemedicine and telehealth competencies of health professionals: A scoping review by Jacqueline Ibarra-Peso, Marcela Hechenleitner-Carvallo, Carlos Zúñiga-San Martín, Angelica Avendaño-Veloso, Eileen Sepúlveda-Valenzuela

“…Introduction Telehealth and telemedicine have proven to be useful in complementing face-to-face care, especially when long distances exist or when it is difficult to access specialists. …”
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Implementing a chatbot to promote hereditary breast & ovarian cancer genetic screening in women’s health: identifying barriers and facilitators to screening adoption by Easton N. Wollney, Shireen Madani Sims, Luisel J. Ricks-Santi, Elizabeth Eddy, Daniel Wiesman, Carla L. Fisher

“…Findings illustrate how each factor functioned as a facilitator and/or barrier in women’s uptake (e.g., technology being trusted for accuracy versus concerns for data privacy and security). Conclusions While chatbots can extend women’s cancer risk screening access, particularly in rural regions and with college-educated women, systems-level (cost) and individual-level factors (perceived risk, misconceptions about repeating genetic testing) should be addressed to promote adoption. …”
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Sustainable E-Health: Energy-Efficient Tiny AI for Epileptic Seizure Detection via EEG by Moez Hizem, Mohamed Ould-Elhassen Aoueileyine, Samir Brahim Belhaouari, Abdelfatteh EL Omri, Ridha Bouallegue

“…This study aimed to (i) Develop a TinyML workflow that details the steps for model creation and deployment in resource-constrained environments and (ii) apply the workflow to e-health applications for the real-time detection of epileptic seizures using electroencephalography (EEG) data. The methodology employs a dataset of 4097 EEG recordings per patient, each 23.5 seconds long, from 500 patients, to develop a robust and resilient model. …”
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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

“…Challenges include data quality, patient privacy, and the need for specialized personnel. …”
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Development of a matching framework for voluntary services provided to home-dwelling older adults by nursing faculty and students based on the Kano model by Lei Huang, Weihong Yang, Lina Wang, Pei Wang, Yan Lin, Shuyao Hui, Peng Wang, Xiang Sun, Yue Yao, Rui Chen, Fengjian Zhang, Lulu Liao, Yilan Liu, Chunyan Guan

“…However, evidence is limited on how to align their needs with the service intentions of nursing faculty and students to develop appropriate frameworks. Methods Data were collected through self-designed demand-supply matching questionnaires from nursing faculty and students (March 26 - April 25, 2023) and older adults (May 24 - July 7, 2023) using convenience sampling. …”
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Preferences and Willingness to Pay for Health App Assessments Among Health Care Stakeholders: Discrete Choice Experiment by Anna-Lena Frey, Simon Leigh, Carla Toro, Carme Pratdepàdua Bufill, Charles McCay, Tatjana Prenđa Trupec, Giuseppe D'Avenio, Menno Kok, Antanas Montvila, Philipp Goedecker, Petra Hoogendoorn

“… BackgroundThe adoption of high-quality health apps has been slow, despite the myriad benefits associated with their use. This is partly due to concerns regarding the effectiveness, safety, and data privacy of such apps. …”
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Receptiveness to participating in cannabis research in pregnancy: a survey study at The Ottawa Hospital [version 1; peer review: 2 approved] by Kira Bombay, Amy McGee, Christina Cantin, Kathryn M Denize, Malia SQ Murphy, Daniel J Corsi, Mark C Walker, Shi Wu Wen, Ruth Rennicks White

“…In the design of new cohort studies to evaluate the patterns and outcomes of cannabis use in pregnancy, consideration must be given to the factors influencing participation, data sharing, and contribution of biological samples. …”
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HIV pre-exposure prophylaxis in Latin America: Public policies, healthcare systems and human rights by Herta de Oliveira Alexandre, Sofia Gruskin, Adriano Massuda, Maria Rita Bertolozzi, Aluisio Cotrim Segurado

“…Achieving universal healthcare and adhering to human rights norms can improve access/use of this essential HIV prevention tool.…”
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Conditions for and potential solutions associated with continuity of care for patients with complex care needs across Swedish regions with differing population densities by Linda Ljungholm, Charlotte Klinga, Mirjam Ekstedt, Anette Edin-Liljegren, Elin-Sofie Forsgärde

“…Method Secondary analysis was conducted using qualitative content analysis on interview data from two studies, consisting of 53 transcripts from individual, pair, and focus group interviews held between August 2018 and November 2019. …”
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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

“…Recently, unsupervised human keypoint detection has become prevalent due to concerns about data privacy. Most existing methods are based on a reconstruction process that extracts appearance and pose information from transformed image pairs and spatially aligns them to obtain a reconstructed image for detection. …”
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Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness by Muhammad Khalid Anser, Agha Amad Nabi, Ishfaq Ahmad, Muhammad Moinuddin Qazi Abro, Khalid Zaman

“…Exposure therapy for anxiety and trauma is increasingly using virtual reality environments. Although digital mental health therapies face challenges in relation to data privacy, limited long‐term efficacy, and technological inequality, digital technologies are modernizing mental healthcare. …”
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B5G Applications and Emerging Services in Smart IoT Environments by Hani Attar, Mohammed Alghanim, Jafar Ababneh, Khosro Rezaee, Ayat Alrosan, Mohanad A. Deif

“…Lastly, the proposed study focuses on essential technology based software services, such as healthcare, smart grid, tourism, and agricultural services. These services use the advantages of B5G communication networks and cloud computing. …”
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Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study by Qianqian Dai, Ming Li, Maoshu Yang, Shiwu Shi, Zhaoyu Wang, Jiaojiao Liao, Zhaoji Li, Weinan E, Liyuan Tao, Yi-Da Tang

“… BackgroundArtificial intelligence (AI) has demonstrated transformative potential in the health care field; yet, its clinical adoption faces challenges such as inaccuracy, bias, and data privacy concerns. As the primary operators of AI systems, physicians and nurses play a pivotal role in integrating AI into clinical workflows. …”
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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…This article provides a meticulous and comprehensive review of imaging-based SARS-CoV-2 diagnosis using deep learning techniques up to May 2024. This article starts with an overview of imaging-based SARS-CoV-2 diagnosis, covering the basic steps of deep learning-based SARS-CoV-2 diagnosis, SARS-CoV-2 data sources, data pre-processing methods, the taxonomy of deep learning techniques, findings, research gaps and performance evaluation. …”
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Vicarious shame in a cross-cultural perspective: emotion concepts A.-S. SPANISH SHAME and Ger. FREMDSCHÄMEN/FREMDSCHAM by Kostiantyn I. Mizin, Liudmyla L. Slavova

“…To meet this objective, a three-stage methodology was developed, which was based on the use of interdisciplinary research tools (traditional linguistics, cognitive and corpus linguistics), as well as the involvement of data from psychology, anthropology, and sociology. …”
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