MOF-derived intelligent arenobufagin nanocomposites with glucose metabolism inhibition for enhanced bioenergetic therapy and integrated photothermal-chemodynamic-chemotherapy by Lihua Chen, Jiaying Yang, Lingyu Jia, Xiaolu Wei, Huijun Wang, Zhuo Liu, Shan Jiang, Pengyue Li, Yanyan Zhou, Hongjie Wang, Nan Si, Baolin Bian, Qinghe Zhao, Haiyu Zhao

“…To overcome the poor bioavailability and toxicity of arenobufagin (ArBu), a MOF-derived intelligent nanosystem, ZIAMH, was designed to facilitate energy deprivation by simultaneous interventions of glycolysis, OXPHOS and TCA cycle. …”
Get full text

Benefits, burden, and harms of computer aided polyp detection with artificial intelligence in colorectal cancer screening: microsimulation modelling study by Cesare Hassan, Alessandro Repici, Farid Foroutan, Lise M Helsingen, Michael Bretthauer, Mette Kalager, Marco Spadaccini, Yuichi Mori, Magnus Løberg, Per Olav Vandvik, Loredana Correale, Natalie Halvorsen, Nastazja Pilonis, Shanaz Sultan

“…Objective To estimate the benefits, burden, and harms of implementing computer aided detection (CADe) of polyps in colonoscopy of population based screening programmes for colorectal cancer.Design Microsimulation modelling study.Setting Cost effectiveness working package in the OperA (optimising colorectal cancer prevention through personalised treatment with artificial intelligence) project. A parallel guideline committee panel (BMJ Rapid recommendation) was consulted in defining the screening interventions and selection of outcome measures.Population Four cohorts of 100 000 European individuals aged 60-69 years.Intervention The intervention was one screening of colonoscopy and a screening of colonoscopy after faecal immunochemical test every other year with CADe. …”
Get full text

Effect of a smartphone self-management digital support system for low-back pain (selfBACK) among workers with high physical work demands – secondary analysis of a randomized contro... by Charlotte Diana Nørregaard Rasmussen, Louise Fleng Sandal, Andreas Holtermann, Mette Jensen Stochkendahl, Paul Jarle Mork, Karen Søgaard

Subjects: Get full text

Contextual challenges in implementing artificial intelligence for healthcare in low-resource environments: insights from the SPEC-AI Nigeria trial by Demilade A. Adedinsewo, Damilola Onietan, Andrea Carolina Morales-Lara, Serin Moideen Sheriff, Bosede B. Afolabi, Oyewole A. Kushimo, Amam C. Mbakwem, Kehinde F. Ibiyemi, James Ayodele Ogunmodede, Hadijat Olaide Raji, Sadiq H. Ringim, Abdullahi A. Habib, Sabiu M. Hamza, Okechukwu S. Ogah, Gbolahan Obajimi, Olugbenga Oluseun Saanu, Solomon Aborisade, Olusoji E. Jagun, Francisca O. Inofomoh, Temitope Adeolu, Kamilu M. Karaye, Sule A. Gaya, Yahya Sa’ad, Isiaka Alfa, Cynthia Yohanna, Peter A. Noseworthy, Rickey E. Carter

“…The SPEC-AI Nigeria study is the first published randomized controlled clinical trial of a health AI intervention in Nigeria. Insights gained from this study can inform future AI intervention studies in clinical care, guide the development of implementation strategies to ensure effective interventions are successfully incorporated into clinical care, and provide a roadmap for key stakeholders to consider when evaluating AI-technologies for use in low-resource settings.…”
Get full text

Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective studyResearch in context by Hui Shen, Shufang Pei, Yue Huang, Suqing Wu, Chifa Zhang, Ting Liang, Dan Yang, Xiaoxiao Feng, Shuyi Liu, Yu Wang, Weihan Cao, Ying Cheng, Hongyan Chen, Qiujie Ni, Fei Wang, Jingjing You, Zhe Jin, Wenle He, Jie Sun, Dexing Yang, Lijuan Liu, Boling Cao, Xiao Zhang, Yingjia Li, Shuixing Zhang, Bin Zhang

Get full text

Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Seventeen compared readers with and without artificial intelligence software. One reported prospective screening experiences before and after artificial intelligence software implementation. …”
Get full text

A Study on Emotional Intelligence, Breastfeeding Self-Efficacy, and Prenatal Maternal Expectations in Women Attending a Pregnancy School by Aleyna Bayındır, Hülya Tosun

“…When the emotional intelligence scores increased in the intervention group, breastfeeding self-efficacy and antenatal motherhood expectations also increased in the intervention group. …”
Get full text

Artificial Intelligence and Its Role in the Diagnosis and Prediction of Adverse Events in Acute Coronary Syndrome: A Narrative Review of the Literature by Andrea Mariani, Carmen Anna Maria Spaccarotella, Francesco Saverio Rea, Anna Franzone, Raffaele Piccolo, Domenico Simone Castiello, Ciro Indolfi, Giovanni Esposito

“…Acute coronary syndrome (ACS) is a global health concern that requires rapid and accurate diagnosis for timely intervention and better patient outcomes. With the emergence of Artificial Intelligence (AI), significant advancements have been made in improving diagnostic accuracy, efficiency, and risk stratification in ACS management. …”
Get full text

Artificial intelligence enriched industry 4.0 readiness in manufacturing: the extended CCMS2.0e maturity model by Gábor Nick, Klaudia Zeleny, Tibor Kovács, Tamás Járvás, Károly Pocsarovszky, Andrea Kő

“…The main contribution is that companies can use the proposed model to assess their 4IR readiness in artificial intelligence and identify related intervention points for improvement.…”
Get full text

The role of emotional intelligence and gender in the relationship between implicit theories of emotions and aggression: moderated mediation model in young individuals by Raquel Gómez-Leal, Pablo Fernández-Berrocal, Luísa Faria, Ana Costa, Rosario Cabello

“…Additionally, the link between implicit theories of emotions and emotional intelligence and aggression is moderated by gender. These findings have significant implications for clinical practice, informing the development of targeted intervention programs to prevent aggression.…”
Get full text

Intelligent Tutoring Systems in Mathematics Education: A Systematic Literature Review Using the Substitution, Augmentation, Modification, Redefinition Model by Taekwon Son

“…Scholars have claimed that artificial intelligence can be used in education to transform learning. …”
Get full text

Research progress in predicting the conversion from mild cognitive impairment to Alzheimer’s disease via multimodal MRI and artificial intelligence by Min Ai, Yu Liu, Dan Liu, Chengxi Yan, Xia Wang, Xun Chen

“…Therefore, this paper systematically reviews the research progress of multimodal MRI techniques in capturing brain changes related to MCI conversion, as well as the practical experience of AI algorithms in constructing efficient prediction models, analyses the current technical challenges faced by the research, and discusses future directions, with the goal of providing a scientific reference for the early and accurate prediction of MCI conversion and the formulation of intervention strategies.…”
Get full text

Artificial Intelligence Based Optimal Design of Bi-directional Capacitor-Inductor-Inductor-Capacitor Converter for Electric Vehicle Applications by Rajalakshmi M, Razia sultana wahab

“…Artificial intelligence (AI) based converter design is a model that greatly reduces the complexity of manual calculations, accelerates the design process with reduced loss, and achieves high efficiency. …”
Get full text

Hybrid Adaptive Multiple Intelligence System (HybridAMIS) for classifying cannabis leaf diseases using deep learning ensembles by Keartisak Sriprateep, Surajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, Sarinya Sala-Ngam, Yottha Srithep, Sarayut Gonwirat, Peerawat Luesak, Surasak Matitopanum, Chakat Chueadee, Rungwasun Kraiklang, Monika Kosacka-Olejnik

“…This paper introduces a novel Hybrid Adaptive Multi-Intelligence System for Deep Learning Ensembles (HyAMIS-DLE), utilizing a comprehensive dataset reflective of the diversity in cannabis leaf diseases and their progression. …”
Get full text

A national survey on the integration of traditional Chinese medicine and artificial intelligence: attitudes and perceptions from the individuals with health needs by Xinyin Hu, Yinger Gu, Hye Won Lee, Xiaoteng Chen, Ying Li, Xinyue Li, Qiaoping Zhao, Wei Wang, Haifeng Huang, Lisi Wang, Nv Xia, Wenjie Wu, Lingling Lou, Pingchun Yang, Ke Ren, Jinglu Guo, Cheng Wang, Longlong Fan, Zheng Yao, Guomei You, Jue Zhou, Fangfang Wang, Fan Qu

Get full text

Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study by Chang-Uk Jeong, Jacob S Leiby, Dokyoon Kim, Eun Kyung Choe

“…ObjectiveThis study aimed to develop and validate an aging clock model using artificial intelligence, based on comprehensive health check-up data, to predict biological age and assess its clinical relevance. …”
Get full text

Real‐Time Prediction of Correct Yoga Asanas in Healthy Individuals With Artificial Intelligence Techniques: A Systematic Review for Nursing by Gözde Özsezer, Gülengül Mermer

“…ABSTRACT Aim This study aims to systematically review the real‐time prediction of yoga asanas using artificial intelligence (AI) techniques to improve the quality of life in healthy individuals. …”
Get full text

Effectiveness of the Spiritual Intelligence Curriculum Based on Brain-Centered Emotional Interactive Strategies on the Resilience of Parents with Intellectually Disabled Children by Mahin Shariaty, Maryam Baratali, Zohreh Saadatmand

“…Conclusions: Consequently, this study demonstrates the potential of spiritual intelligence content curriculum as an effective intervention for enhancing the resilience among parents with intellectually disabled children.…”
Get full text

Integrating Explainable Artificial Intelligence With Advanced Deep Learning Model for Crowd Density Estimation in Real-World Surveillance Systems by Sultan Refa Alotaibi, Hanan Abdullah Mengash, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulwhab Alkharashi, Ahmad A. Alzahrani, Moneerah Alotaibi, Mrim M. Alnfiai

“…It detects crowded areas, manages crowd flow, and combines automated analysis with human oversight for improved public safety and early intervention. Explainable Artificial Intelligence (XAI) improves the interpretability and transparency of crowd management methods. …”
Get full text

Impact of Underground Space Height and BMI on Children’s Fatigue During Ascending Evacuation: An Experimental Study and Intelligent Assistive Implications by Ming Liu, Hu Zhang, Xin Guo, Yongbo Feng, Xiaochen Zhao, Changzheng Xuan, Xiaohu Jia

“…Based on these physiological insights, this study proposes a non-invasive architectural intervention to enhance children’s evacuation performance, offering practical guidance for the design of intelligent evacuation systems. …”
Get full text