Digital Determinants of Health: Health data poverty amplifies existing health disparities-A scoping review. by Kenneth Eugene Paik, Rachel Hicklen, Fred Kaggwa, Corinna Victoria Puyat, Luis Filipe Nakayama, Bradley Ashley Ong, Jeremey N I Shropshire, Cleva Villanueva

“…Artificial intelligence (AI) and machine learning (ML) have an immense potential to transform healthcare as already demonstrated in various medical specialties. …”
Get full text

From ChatGPT to Sora: Analyzing Public Opinions and Attitudes on Generative Artificial Intelligence in Social Media by Wenyan Feng, Yuhang Li, Chunhao Ma, Lisai Yu

“…This study examines public opinions, emotional tendencies, and psychological linguistic characteristics associated with the launch of OpenAI’s ChatGPT and the advanced video generation model, Sora, by analyzing discussions on the Chinese social media platform Weibo. …”
Get full text

Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces by Pin-Chia Huang, I-Cheng Li, Ching-Yi Wang, Cheng-Hsiung Shih, Masimukku Srinivaas, Wan-Ting Yang, Chin-Fang Kao, Te-Jen Su

“…In recent years, AI technology has made significant advancements in image recognition, machine learning, and data analysis, which provide new opportunities for art management. …”
Get full text

Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions by Ying Jia He, Pin Lin Liu, Tao Wei, Tao Liu, Yi Fei Li, Jing Yang, Wen Xing Fan

“…The findings underscore a rapid expansion in AI applications since 2017, with emerging trends in personalized medicine, multimodal data fusion, and telehealth. …”
Get full text

The synthesis and research of the naphthalimide G-quadruplex probe targeting hybrid G4s by Lilin Gan, Wenzheng Luo, Qian Cheng, Shanke Wan, Min Wu, Mingqi Wang, Enming Luo, Xianjin Luo, Shuo Li

“…Herein, AI7 also showed potential anti-tumor activity and good biological compatibility.…”
Get full text

Clinical Characteristics of Children with Acute Post-Streptococcal Glomerulonephritis and Re-Evaluation of Patients with Artificial Intelligence by Emre LEVENTOGLU, Mustafa SORAN

“…The condition may present as acute nephritic and/or nephrotic syndrome and rarely as rapidly progressive glomerulonephritis. ChatGPT (OpenAI, San Francisco, California, United States of America) has been developed as a chat robot supported by artificial intelligence (AI). …”
Get full text

GENEL HASTANELERİN YATAK KULLANIM PERFORMANSININ PABON LASSO YÖNTEMİYLE DEĞERLENDİRİLMESİ by İsmail Ağırbaş, Ferda Işıkçelik

“…Bu çalışmada Sağlık Bakanlığı’na bağlı genel hastane statüsüne sahip AI, AII ve B grubu hastanelerin 2018-2021 yatak kullanım performansı Pabon Lasso Yöntemiyle değerlendirilmiştir. …”
Get full text

How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings by Seye Abogunrin, Jeffrey M. Muir, Clarissa Zerbini, Grammati Sarri

“…IntroductionResearchers are increasingly exploring the use of artificial intelligence (AI) tools in evidence synthesis, a labor-intensive, time-consuming, and costly effort. …”
Get full text

Comparison of In Silico Tools for Splice-Altering Variant Prediction Using Established Spliceogenic Variants: An End-User’s Point of View by Woori Jang, Joonhong Park, Hyojin Chae, Myungshin Kim

“…For de novo and cryptic splice sites, SpliceAI outperformed all other tools and showed a sensitivity of 95.7% at an optimal cut-off of 0.02 score change. …”
Get full text

"I Fregi del Ceppo”: when artificial intelligence and geomatics meet theatre by Pietro Bartolini, Alessandro Conti, Lidia Fiorini, Grazia Tucci

“…The project used artificial intelligence (AI) tools to analyse and animate the frieze characters’ postures and relationships. …”
Get full text

Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

“…Recent research has focused on the application of artificial intelligence (AI) and radiomics in medical image processing, diagnosis, and treatment planning.MethodsA review of the current literature was conducted, analyzing the use of AI models and texture analysis for MS lesion segmentation and classification. …”
Get full text

Weed Control in Corn and Soybean with Group 15 (VLCFA Inhibitor) Herbicides Applied Preemergence by Nader Soltani, Lynette R. Brown, Peter H. Sikkema

“…A total of 10 field experiments (5 with corn and 5 with soybean) were conducted during 2015 to 2017 in Ontario, Canada, to compare the weed control efficacy of dimethenamid-P at 544 g·ai·ha−1, pethoxamid at 840 g·ai·ha−1, pyroxasulfone at 100 g·ai·ha−1, and S-metolachlor at 1050 g·ai·ha−1 applied preemergence (PRE). …”
Get full text

Comparison of Gelation Time and Polyalcohol Effect on Hydrogels from Domestic and Wild Silk Fibroins by Huijing Zhao, Siyong Xiong, Mingzhong Li, Qiang Zhang, Guiyang Liu

Get full text

Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

“…Abstract The rapid development of artificial intelligence, especially AI assistants, is leading to new forms of plagiarism that are difficult to detect using existing methods. …”
Get full text

A Retroperitoneal Leiomyosarcoma Presenting as an Adrenal Incidentaloma in a Subject on Warfarin by Ishrat N. Khan, Mohamed A. Adlan, Michael J. Stechman, Lakdasa D. Premawardhana

“…We present a subject whose AI was a retroperitoneal leiomyosarcoma (RL). Case Presentation. …”
Get full text

Understanding pre-service teachers' intention to adopt and use artificial intelligence in Nigerian inclusive classrooms by Olufemi Timothy Adigun, Olufemi Timothy Adigun, Faisat Adeniran Tijani, Cynthy K. Haihambo, Simasiku Limbo Enock

“…IntroductionThis study applied the Unified Theory of Acceptance and Use of Technology (UTAUT) to provide an understanding of the behavioral intentions of pre-service teachers in the adoption and utilization of artificial intelligence (AI) tools for educational engagement in the inclusive classroom.MethodsThe cross-sectional study collected data through a validated questionnaire from 411 pre-service teachers were analyzed with descriptive statistics such as frequency counts and simple percentage calculation, as well as inferential statistics which involved correlational analysis and Structural Equation Modeling (SEM).ResultsThe study established that effort expectancy had a positive and direct significant contribution to the perceived behavioral intention of pre-service teachers to adopt and use AI for inclusive education teaching. …”
Get full text

Evaluation of treatment strategies for patients with stage IIIA non-small cell lung cancer in the immunotherapy era by Amy Alabaster, Jeffrey B. Velotta, Haley I. Tupper, Mark S. Walker, Yanina Natanzon

“…Methods: This retrospective study compared surgical and systemic non-surgical treatments (except targeted therapy) among adults diagnosed with stage IIIA NSCLC 2017–2021. Data was from ConcertAI's curated EHR Patient360™ NSCLC real-world care product. …”
Get full text

The utility of artificial intelligence in identifying radiological evidence of lung cancer and pulmonary tuberculosis in a high-burden tuberculosis setting by Z Z Nxumalo, E M Irusen, B W Allwood, M Tadepalli, J Bassi, C F N Koegelenberg

“…Artificial intelligence (AI), using deep learning (DL) systems, can be utilised to detect radiological changes of various pulmonary diseases. …”
Get full text

Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool by Hatem Ali, Arun Shroff, Tibor Fülöp, Miklos Z. Molnar, Adnan Sharif, Bernard Burke, Sunil Shroff, David Briggs, Nithya Krishnan

“…In general terms we show how the new AI and ML tools can have a role in developing effective and equitable healthcare.…”
Get full text

Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

“…In patients with HFmrEF, disease progression can be predicted using AI-ECG.…”
Get full text