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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Comparing Artificial Intelligence–Generated and Clinician-Created Personalized Self-Management Guidance for Patients With Knee Osteoarthritis: Blinded Observational Study by Kai Du, Ao Li, Qi-Heng Zuo, Chen-Yu Zhang, Ren Guo, Ping Chen, Wei-Shuai Du, Shu-Ming Li

“…MethodsThis 2-phase, double-blind, observational study used data from 50 patients previously enrolled in a registered randomized trial. …”
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Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review by Caixia Li, Yina Zhao, Yang Bai, Baoquan Zhao, Yetunde Oluwafunmilayo Tola, Carmen WH Chan, Meifen Zhang, Xia Fu

“…The methodological quality of the included studies was evaluated using a rating rubric designed for simulation-based research and the risk of bias in nonrandomized studies of interventions tool for quasi-experimental studies. …”
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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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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…For example, AI-driven analyses may reveal that regions with higher diabetes prevalence particularly benefit from targeted nutritional education programs, resulting in a 10% decrease in new diabetes cases.6Despite the promising advancements in AI applications within healthcare, it is essential to address ethical considerations and ensure data privacy during implementation. Establishing transparent policies, robust security protocols, and ethical guidelines is vital for safeguarding patient information and fostering trust in AI-driven solutions. …”
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Artificial intelligence and machine learning in acute respiratory distress syndrome management: recent advances by Songbei Li, Songbei Li, Ruiming Yue, Sen Lu, Jingchao Luo, Xiaoxiao Wu, Zhao Zhang, Mingzong Liu, Yuxin Fan, Yuxin Fan, Yuxuan Zhang, Yuxuan Zhang, Chun Pan, Xiaobo Huang, Hongli He

“…We explore diverse AI/ML applications, including early prediction and diagnosis using multi-modal data (electronic health records [EHR], imaging, ventilator waveforms), advanced prognostic assessment and risk stratification that outperform traditional scoring systems, and precise identification of ARDS subtypes to guide personalized treatment. …”
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Socioculturally Appropriate Internet-Based Geriatric Care Model for Older Adults Living With HIV: Experience-Based Co-Design Approach by Kristina M Kokorelias, Marina B Wasilewski, Dean Valentine, Andrew D Eaton, Erica Dove, Paige Brown, Stuart McKinlay, Christine L Sheppard, Esther Su, Hardeep K Singh, Ashley Flanagan, Alice Zhabokritsky, Reham Abdelhalim, Rabea Parpia, Rahel Zewude, Laura Jamieson, Sharon Walmsley, Luxey Sirisegaram

“…The process involved 3 phases: identifying needs through interviews and questionnaires, codeveloping a care model prototype through focus groups and a workshop, and refining the model using feedback from a world café format. Data were analyzed using thematic content analysis. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Ethical AI Considerations: Addressing ethical concerns such as data privacy, fairness, and biases in AI systems to ensure responsible use. 6. …”
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Mental Health in the Age of Hyperconnectivity: A Crisis Hidden in Plain Sight by Sitara Ejaz, Hafiz Muhammad Haseeb Khaliq

“…They reported the spectrum of emotional exhaustion, inability to ‘log off,’ and the excessive use of digital platforms even on evenings and weekends. …”
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Community health fairs as experiential learning: a qualitative exploration of benefits and challenges by Martha Rojo, Scott Wright, Jing Jin, Erickson Feliciano, Margaret Love, Sharon Stevenson

“…Prior to the interview, all participants completed a demographic data sheet. All interviews were audio-recorded, transcribed, checked for accuracy, and de-identified, and MAXQDA was used to manage and code the interviews. …”
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Postpartum women’s prospective acceptability of long-acting HIV prevention approaches in Kenya: a qualitative study by Tessa Concepcion, John Kinuthia, Felix Abuna, Eunita Akim, Helen Aketch, Laurén Gómez, Grace John-Stewart, Bih Moki Suh, Emmaculate M Nzove, Nancy Ngumbau, Jerusha N Mogaka, Sarah Obatsa, Ben O Odhiambo, Caroline Omom, Marin Strong, Anjuli D Wagner, Salphine Watoyi, Jillian Pintye

“…Inductive and deductive content analysis was used, and themes of acceptability were explored using the Theoretical Framework of Acceptability (TFA). …”
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Feasibility and acceptability of implementing the Global Scales for Early Development (GSED) package for children 0–3 years across three countries by Ambreen Nizar Merchant, Raghbir Kaur, Gareth McCray, Vanessa Cavallera, Ann Weber, Melissa Gladstone, Magdalena Janus, Imran Nisar, Patricia Kariger, Sunil Sazawal, Arup Dutta, Salahuddin Ahmed, Yunting Zhang, Mariana Pacifico Mercadante, Arsene Zongo, Yvonne Schönbeck, Tarun Dua, Iris Eekhout, Fahmida Tofail, Maureen Black, Abdullah H. Baqui, Dana McCoy, Farzana Begum, Romuald Kouadio E. Anago, Alexandra Brentani, Fan Jiang, Symone Detmar, Michelle Perez Maillard, Marcus Waldman, Stef van Buuren, Abbie Raikes, Katelyn Hepworth, Marta Rubio Codina, Shirina Akhtar, Fyezah Jehan, Rasheda Khanam, Hassan Naqvi, Abrarul Haque Asif, Junaid Mehmood, Sidra Afzal, Gillian Lancaster

“…Implementation challenges reiterated the need to develop a more comprehensive training module covering GSED administration and other topics, including the consent process, rapport building, techniques for maintaining privacy and preventing distraction, and using didactic and interactive learning modes. …”
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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis by Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz

“…Future research should focus on enhancing affective response mechanisms and addressing ethical concerns such as bias mitigation and data privacy to ensure safe, effective AI-based mental health support.…”
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A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification by Cheng-Jiang Wei, Yan Tang, Yang-Bai Sun, Tie-Long Yang, Cheng Yan, Hui Liu, Jun Liu, Jing-Ning Huang, Ming-Han Wang, Zhen-Wei Yao, Ji-Long Yang, Zhi-Chao Wang, Qing-Feng Li

“…Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background. …”
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Life-time experience of violence among women and girls living with disability in Nepal. by Padam Simkhada, Sapana Basnet, Shaurabh Sharma, Edwin van Teijlingen, Sharada Prasad Wasti, Tikadevi Dahal, Joshua Okyere, Ram Chandra Silwal, Manita Pyakurel

“…This was done by trained enumerators using the KoBo application on smartphones or tablets. …”
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GPU Acceleration for FHEW/TFHE Bootstrapping by Yu Xiao, Feng-Hao Liu, Yu-Te Ku, Ming-Chien Ho, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen

“… Fully Homomorphic Encryption (FHE) allows computations to be performed directly on encrypted data without decryption. Despite its great theoretical potential, the computational overhead remains a major obstacle for practical applications. …”
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Role of AI in empowering and redefining the oncology care landscape: perspective from a developing nation by Isha Goel, Isha Goel, Yogendra Bhaskar, Nand Kumar, Sunil Singh, Mohammed Amanullah, Ruby Dhar, Subhradip Karmakar

“…However, it is essential to ensure responsible implementation and address potential ethical and privacy concerns associated with using AI in healthcare.…”
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Patients’ Perspectives on Social Barriers to Care and the Acceptability and Impact of a Community Health Worker Program in Outpatient Ophthalmology by Rustam Z, Amezcua Moreno J, Tran D, Ferguson K, Woods R, Cai CX

“…The transcripts were analyzed using traditional text analysis based on classic grounded theory to identify themes.Results: Patients reported transportation (66%), scheduling conflicts (50%), forgetting appointments (50%) and other illnesses (40%) as barriers to attending eye appointments. …”
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Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization by Dawen Wu, Yanfei Li, Zeyi Yang, Teng Yin, Xiaohang Chen, Jingyu Liu, Wenyi Shang, Bin Xie, Guoyuan Yang, Haixian Zhang, Longqian Liu

“…ObjectiveThis study aimed to address these challenges using an advanced preprocessing algorithm to enhance the accuracy, efficiency, and standardization of eye region cropping for clinical workflows and AI data preprocessing. …”
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Energy-Efficient Office Renovation by Minyoung KWON

“…Indoor climate and users’ thermal comfort Indoor temperature and humidity were measured by using data loggers to identify the condition of the indoor climate for users’ thermal comfort after renovation. …”
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