Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management by Bhawna Kushawaha, Tial T. Rem, Emanuele Pelosi

“…We explore the diagnostic potential of the AI-driven analysis of microbiome and BEV profiles, and address ethical considerations including data privacy and algorithmic bias. As these technologies continue to evolve, they hold increasing potential for the improvement of PCOS diagnosis and management, including the development of safer, more precise, and effective interventions.…”
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Comparison of medical history documentation efficiency and quality based on GPT-4o: a study on the comparison between residents and artificial intelligence by Xiaojing Lu, Xinqi Gao, Xinyi Wang, Zhenye Gong, Jie Cheng, Weiguo Hu, Shaun Wu, Rong Wang, Xiaoyang Li

“…Medical history quality was evaluated by two attending physicians with over 10 years of clinical experience using ten case content criteria. Data were analyzed using paired t-tests and Wilcoxon signed-rank tests, with Kappa coefficients used to assess scoring consistency. …”
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Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates by Miskeen E, Alfaifi J, Alhuian DM, Alghamdi M, Alharthi MH, Alshahrani NA, Alosaimi G, Alshomrani RA, Hajlaa AM, Khair NM, Almuawi AM, Al-Jaber KH, Elrasheed FE, Elhassan K, Abbas M

“…Despite these advancements, challenges related to the ethical use of AI, data privacy, and the need for extensive validation of AI tools in diverse populations were noted.Conclusion: The potential benefits of AI in fetal medicine are immense, offering a brighter future for our field. …”
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Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS) by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…However, these digital data contain patients’ privacy and may be restricted to authorized users. …”
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Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification models by Jan-Niklas Eckardt, Ishan Srivastava, Zizhe Wang, Susann Winter, Tim Schmittmann, Sebastian Riechert, Miriam Eva Helena Gediga, Anas Shekh Sulaiman, Martin M. K. Schneider, Freya Schulze, Christian Thiede, Katja Sockel, Frank Kroschinsky, Christoph Röllig, Martin Bornhäuser, Karsten Wendt, Jan Moritz Middeke

“…Abstract High-quality image data is essential for training deep learning (DL) classifiers, yet data sharing is often limited by privacy concerns. …”
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Strengthening ethical oversight in genomics and biobanking: a retrospective analysis of research practices in Zimbabwe by Oppah Kuguyo, Alice Matimba, Florence Mutevedzi, Andrew Chimatira, Vasco Chikwasha, Abigail Kangwende, Lovemore Gwanzura, Paul Ndebele

“…Consent practices varied: 99(49.5%) protocols utilized specific consent, 37(18.5%) employed broad consent, and 37(18.5%) used blanket consent. Notably, 2(1%) protocols did not use consent forms, opting instead for broad or specific notifications. …”
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An AI-Based Telerehabilitation Solution to Improve Mobility in People With Multiple Sclerosis (the PLATINUMS Project): Protocol for an Implementation and Evaluation Study by Lars Hvid, Susan Coote, Massimiliano Pau, Alon Kalron

“…ResultsFunding for the PLATINUMS project was obtained in February 2024. WP2 data collection began in April 2025 across 4 European sites. …”
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Public Perception on Artificial Intelligence–Driven Mental Health Interventions: Survey Research by Mahima Anna Varghese, Poonam Sharma, Maitreyee Patwardhan

“…Major concerns included data privacy, security, the lack of human touch, and the potential for misdiagnosis. …”
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Mental health promotion in disasters: exploring the synergy of artificial intelligence, spirituality, and psychology: a SWOT analysis by Rasoul Fattahipour, Simintaj Sharififar, Fatemeh Teymouri, Maryam Azizi, Milad Ahmadi Marzaleh

“…In contrast, threats such as data privacy risks, algorithmic biases, and ethical concerns around informed consent and over-standardization of care are also addressed. …”
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Identification of Factors Affecting the Selection of Women's Gyms by Abbas Naghizadeh-Baghi, Masoud Imanzadeh, Mitra Lalfam, Farzad Nobakht Sareban, Majid Javid

“…The data were analyzed by SPSS26 software using Exploratory Factor Analysis test.Results: The results showed that 44 final characteristics affecting the selection of the gym were factorized into 8 factors by factor analysis and these factors explain 67% of the total variance.Conclusion:   Factors influencing the selection of women's gymnasiums in order of priority include Physical Evidence, process, Place, price, product, People, Promotion and Privacy.…”
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Students’ Perceptions of Learning Analytics for Mental Health Support: Qualitative Study by Aglaia Freccero, Miriam Onwunle, Jordan Elliott, Nathalie Podder, Julia Purrinos De Oliveira, Lindsay H Dewa

“…However, students raised concerns regarding data reliability and identified several ethical issues, such as privacy and lack of transparency. …”
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Barriers facilitators and needs of female sex workers in Arak to access sexual health services a qualitative study by Iman Navidi, Elham Shakibazadeh, Firoozeh Raisi, Samaneh Akbarpour

“…Data were collected and analyzed using qualitative content analysis. …”
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Nursing Educators’ Perspectives on the Integration of Artificial Intelligence Into Academic Settings by Moustaq Karim Khan Rony MSS, MPH, RN, Sumon Ahmad MPH, RN, Sabren Mukta Tanha MPH, RN, Dipak Chandra Das MSS, Mosammat Ruma Akter MSN, RN, Mst. Amena Khatun MPH, RN, Most. Hasina Begum MSN, RN, Md Ibrahim Khalil MSS, RN, Umme Rabeya Peu MSS, RN, Mst. Rina Parvin BSN, RN, Daifallah M Alrazeeni PhD, Fazila Akter MSc, RN

“…However, barriers such as insufficient training, infrastructural challenges, and ethical concerns related to data privacy, algorithmic bias, and AI-driven decision making were highlighted. …”
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Pre-class learning assessment on integrating artificial intelligence into evidence-based medicine curriculum by ZUHAER·Yisha, CHEN Xiaowei, CAO Wangnan, WU Shanshan, LIU Junchang, SUN Yumei, WU Tao, ZHAN Siyan, SUN Feng

“…Differences between master’s and doctoral students were analyzed using the Mann-Whitney U test.Results A total of 46 students participated in the survey (34 Masters and below, and 12 PhDs). …”
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Exploring Perceived Barriers in the Assessment and Management of Female Sexual Dysfunction: An Integrated Qualitative and Quantitative Study among Trainee Residents by Yogender Kumar Malik, Adwitiya Ray, Sujata Sethi, Rajiv Gupta

“…A total of 92 trainee residents from related medical specialties of psychiatry, gynecology, dermatology, and urology, who provided informed consent, participated in the study. Data were collected using a validated questionnaire regarding perceived barriers related to residents’ knowledge and attitudes toward assessing FSD and a case vignette. …”
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What is the Role of Medical Informatics in Digital Healthcare? by Mihai TĂRÂŢĂ

“…. • Cybersecurity & Privacy in Healthcare – Implementing robust security solutions (e.g., encryption, blockchain) to safeguard sensitive patient data and ensure compliance with regulations like HIPAA (USA), GDPR (EU), and local healthcare laws…”
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Low Saturation Confidence Distribution-based Test-Time Adaptation for cross-domain remote sensing image classification by Yu Liang, Shilei Cao, Juepeng Zheng, Xiucheng Zhang, Jianxi Huang, Haohuan Fu

“…However, most UDA approaches require access to source data, which may be infeasible due to data privacy or transmission constraints. …”
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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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Assessment of the attitude and fears of the physicians of Pakistan regarding artificial intelligence: a cross-sectional survey in 2024 by Abdur Rehman Khalid, Farooq Ahmad, Smak Ahmed, Muhammad Ahrar Bin Naeem, Noor ul Ain, Hassan Mehmood, Aasma Sajawal, Muhammad Umar, Aiman Atta, Hassaan Amin, Shahid Mahmood

“…Subject and methods A nation-wide cross-sectional study was conducted using an online questionnaire, based on standardized General Attitude Towards Artificial Intelligence Scale (GAAIS) and self-devised questions, aimed at collecting data about demographic details, attitude and fears of the physicians regarding AI. …”
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Exploring quality of life among elderly persons living with HIV in Accra, Ghana. by Marijanatu Abdulai, Philip Teg-Nefaah Tabong, Harriet Affran Bonful, Adolphina Addo-Lartey, Bismark Sarfo

“…The data was analysed thematically using QSR NVivo 11.…”
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