Longitudinal Comparison of Geographic Atrophy Enlargement Using Manual, Semiautomated, and Deep Learning Approaches by Jacob Bogost, Rachel E. Linderman, PhD, Robert Slater, PhD, Thomas F. Saunders, OD, Caleb Pacheco, Jeong Pak, PhD, Rick Voland, PhD, Barbara Blodi, MD, Amitha Domalpally, MD, PhD

“…The mean GA growth rate (mm2/year) and square root transformation of GA size were compared across methods. …”
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Evaluating the Accuracy of Deep Learning Models and Dental Postgraduate Students in Measuring Working Length on Intraoral Periapical X-rays: An In vitro Study by R. S. Basavanna, Ishaan Adhaulia, N. M. Dhanyakumar, Jyoti Joshi

“…Background: The integration of artificial intelligence in dentistry has seen remarkable advancements, especially in diagnostic imaging. …”
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Pentecostal doctrine in Apostles’ Creed and the 4IR: CFC and the River Church as case studies by Buti D. Mulutsi

“…Results: The study shows that it is possible to use the benefits of artificial intelligence (AI) in the preaching and practices of the church. …”
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Maize and soybean yield prediction using machine learning methods: a systematic literature review by Ramandeep Kumar Sharma, Jasleen Kaur, Gary Feng, Yanbo Huang, Chandan Kumar, Yi Wang, Sandhir Sharma, Johnie Jenkins, Jagmandeep Dhillon

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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…The essence of agents, which are rooted in digitalization and designed for intelligent decision-making and control, was introduced. …”
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Prediction of the packaging chemical migration into food and water by cutting-edge machine learning techniques by Behzad Vaferi, Mohsen Dehbashi, Reza Yousefzadeh, Ali Hosin Alibak

“…The proposed GBR model accurately predicts 1847 experimental datasets, showcasing mean squared error, mean absolute error, root mean squared error, relative absolute error percent, and regressing coefficient, of 0.06, 0.15, 0.24, 6.46%, and 0.9961 respectively. …”
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AI-driven dynamic orthodontic treatment management: personalized progress tracking and adjustments—a narrative review by Xuanchi Guo, Yuhan Shao

“…Artificial intelligence (AI) is reconfiguring the orthodontic treatment paradigm through dynamic data-driven strategies. …”
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COVID-19 pandemic prediction model based on machine learning in selected regions of the Russian Federation by D. V. Gavrilov, R. V. Abramov, А. V. Kirilkina, А. А. Ivshin, R. E. Novitskiy

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Modeling Jar Test Results Using Gene Expression to Determine the Optimal Alum Dose in Drinking Water Treatment Plants by Ruba D. Alsaeed, Bassam Alaji, Mazen Ibrahim

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Optimizing tomato yield prediction using phenologically timed UAV-based spectral data and machine learning by Carolina Trentin, Yiannis Ampatzidis, Sotirios Tasioulas, Pavlos Tsouvaltzis

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The Data Artifacts Glossary: a community-based repository for bias on health datasets by Rodrigo R. Gameiro, Naira Link Woite, Christopher M. Sauer, Sicheng Hao, Chrystinne Oliveira Fernandes, Anna E. Premo, Alice Rangel Teixeira, Isabelle Resli, An-Kwok Ian Wong, Leo Anthony Celi

“…Abstract Background The deployment of Artificial Intelligence (AI) in healthcare has the potential to transform patient care through improved diagnostics, personalized treatment plans, and more efficient resource management. …”
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Enhancing peak performance forecasting in steam power plants through innovative AI-driven exergy-energy analysis by Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, Muhammad Naqvi, Syed Qasim Raza Zahidi, Fayaz Hussain, Hayati Yassin, Atika Qazi

“…The model’s predictions for energy and exergy efficiencies are validated against experimental data, with root mean square error (RMSE) and coefficient of determination (R2) computed for accuracy evaluation. …”
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Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis by Wai Ying Kot, Sum Yin Au Yeung, Yin Yan Leung, Pui Hang Leung, Wei-fa Yang

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Epistemic Injustice in Obstetrics and Gynecology by Sitian LIU

“…Doctors often overlook patients' experiences due to their epistemic advantage, resulting in patients sometimes enduring unfair treatment rooted in biases against their epistemic capabilities. …”
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A relevance model of human sparse communication in cooperation by Kaiwen Jiang, Boxuan Jiang, Anahita Sadaghdar, Rebekah Limb, Tao Gao, Tao Gao

“…Together, these findings provide compelling evidence that a relevance model rooted in decision theory and ToM can effectively capture the sparse and spontaneous nature of human communication.…”
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The role of ChatGPT in junior high school physics education: Insights from teachers and students and guidelines for optimal use by Nikos Bessas, Eleni Tzanaki, Denis Vavougios, Vassilis P. Plagianakos

“…ChatGPT is a relatively recent application, available to the public since late November 2022, rooted in Artificial Intelligence. Operating in a chatbot environment and drawing from a vast data pool, it is capable of answering user queries across a wide range of subjects. …”
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A method of building alarm causality graph for anomaly events in network services by ZHANG Lei, JING Yuhan, HE Bo, QI Qi, CHEN Chen, WANG Jingyu

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Comparative analysis prediction of prostate and testicular cancer mortality using machine learning: accuracy study by Aurélio Gomes de Albuquerque Neto, David Medeiros Nery, João Paulo Araújo Braz, Carla Ferreira do Nascimento, Tiago Almeida de Oliveira, Brígida Gabriele Albuquerque Barra, Leonardo Thiago Duarte Barreto Nobre, Diego Bonfada, Janine Karla França da Silva Braz

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Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi

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Mobility Management With AI by Pooyan Jahanmanesh, Amirfarhad Farhadi, Azadeh Zamanifar

“…By considering these aspects, researchers can introduce more practical models that achieve lower errors using metrics such as Root-mean-square deviation (RMSE).…”
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