HUMANE: Harmonious Understanding of Machine Learning Analytics Network—global consensus for research on artificial intelligence in medicine by Neha Deo, Faisal A. Nawaz, Clea du Toit, Tran Tran, Chaitanya Mamillapalli, Piyush Mathur, Sandeep Reddy, Shyam Visweswaran, Thanga Prabhu, Khalid Moidu, Sandosh Padmanabhan, Rahul Kashyap

“…This paradigm shift in healthcare research has led to increased demands for clinical outcomes, all at the expense of a significant gap in AI literacy within the healthcare field. This has further translated to a lack of tools in creating a framework for literature in the AI in medicine domain. …”
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Persistence of a new coronavirus infection in a patient with primary central nervous system large B-cell lymphoma with assessment of the humoral immune response against SARS-CoV-2 by Yu. Yu. Polyakov, E. A. Baryakh, E. N. Misyurina, E. I. Zhelnova, M. A. Mingalimov, S. A. Kardovskaya, M. Ya. Smolyarchuk, T. N. Tolstykh, T. S. Chudnova, D. D. Ivanova, O. L. Kochneva, D. V. Lebedev, A. U. Abueva, A. M. Chistov, E. N. Zotina, I. V. Samsonova, M. A. Lysenko

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Innovations in animal health: artificial intelligence-enhanced hematocrit analysis for rapid anemia detection in small ruminants by Aftab Siddique, Sudhanshu S. Panda, Sophia Khan, Seymone T. Dargan, Savana Lewis, India Carter, Jan A. Van Wyk, Ajit K. Mahapatra, Eric R. Morgan, Thomas H. Terrill

“…This work demonstrates that AI-driven biosensors can be used for on-site rapid anemia detection. …”
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GPT-4 generated psychological reports in psychodynamic perspective: a pilot study on quality, risk of hallucination and client satisfaction by Namwoo Kim, Jiseon Lee, Sung Hyeon Park, Yoonseo On, Jieun Lee, Musung Keum, Sanghoon Oh, Yoojin Song, Junhee Lee, Geun Hui Won, Joon Sung Shin, Silvia Kyungjin Lho, Yoon Jung Hwang, Tae-Suk Kim

“…This pilot study aims to evaluate quality, risk of hallucination (incorrect AI-generated information), and client satisfaction with psychodynamic psychological reports generated by GPT-4.MethodsThe report comprised five components: psychodynamic formulation, psychopathology, parental influence, defense mechanisms, and client strengths. …”
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Revolutionizing heart attack prognosis: Introducing an innovative regression model for prediction by Hanaa Albanna, Madhav Raj Theeng Tamang, Chandan Patel, Mhd Saeed Sharif

“…This work not only highlights the potential of AI to transform predictive healthcare but also reminds us of the practical challenges that must be addressed along the way. …”
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Comparison of processing speed of NRS-ANN hybrid and ANN models for oil production rate estimation of reservoir under waterflooding by Paul Theophily Nsulangi, Werneld Egno Ngongi, John Mbogo Kafuku, Guan Zhen Liang

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Harnessing the microbial interactions from Apocynum venetum phyllosphere for natural product discovery by Wei Huang, Xingzhi Jiao, Lingqi Hua, Qianjin Kang, Lili Zhang, Xiaoxia Luo, Linquan Bai

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Current Strategies to Reducing Interval Breast Cancers: A Systematic Review by Goh RSJ, Chong B, Yeo S, Neo SY, Ng QX, Goh SSN

“…The goal is to create a screening protocol that is economically effective and accessible to various populations.Plain Language Summary: This study looked at ways to reduce interval breast cancers, which are cancers that appear between regular breast screening appointments after a previous scan showed no signs of cancer. …”
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Open real-time, non-invasive fish detection and size estimation utilizing binocular camera system in a Portuguese river affected by hydropeaking by Jürgen Soom, Isabel Boavida, Renan Leite, Maria João Costa, Gert Toming, Mairo Leier, Jeffrey A. Tuhtan

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Encouraging Safety 4.0 to enhance industrial culture: An extensive study of its technologies, roles, and challenges by Abid Haleem, Mohd Javaid, Ravi Pratap Singh

“…This can be accomplished by adopting Safety 4.0, incorporating advanced digital technologies such as Artificial Intelligence (AI), robotics, blockchain, virtual reality, the Internet of Things (IoT), and more. …”
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Benchmarking Sentence Encoders in Associating Indicators With Sustainable Development Goals and Targets by Ana Gjorgjevikj, Kostadin Mishev, Dimitar Trajanov, Ljupco Kocarev

“…Most importantly, this article contributes to filling the existing gap in comprehensive benchmarking of AI models in solving the problem.…”
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Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system by Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo, Francesco Merolla, Arndt Hartmann, Fulvia Ferrazzi, Filippo Fraggetta

“…In both cases, the AP-LIS transmits an HL7 message to the AI-DSS, which processes the message, runs DL model inference, and creates the appropriate visualization style for the employed classification model. …”
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Non-Negative Matrix Factorization and Latent Semantic Analysis for Hybrid Feature Selection: A Proposed Machine Learning System for the Detection of Malicious Executable Files by Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan, Khalil El Hindi, Anand Mahendran

“…With the increasing use of generative Artificial Intelligence (AI), adversaries are leveraging AI to enhance their attack strategies, ranging from creating more credible phishing attacks and social engineering tactics to developing advanced viruses that are delivered through various means such as phishing attacks. …”
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The ‘Implicit Intelligence’ of artificial intelligence. Investigating the potential of large language models in social science research by Ottorino Cappelli, Marco Aliberti, Rodrigo Praino

“…To test this, we compare data from a multi-country expert survey with those collected from the two powerful LLMs created by OpenAI and Google. The statistical difference between the two sets of data is minimal in most cases, supporting our hypothesis, albeit with certain limitations and within specific parameters. …”
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Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images by Abdullah Hosseini, Ahmed Serag

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Simulation and the reality gap: Moments in a prehistory of synthetic data by James Steinhoff, Sam Hind

“…Synthetic data thus indicates the emergence of an alternative stack for the production of AI systems. This suggests that the political economy of AI must take account of the proliferation of new technical means for creating data.…”
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Unleashing the Power of Artificial Intelligence-Driven Drug Discovery in Streptomyces by Wei-Shan Ang, Jodi Woan-Fei Law, Yatinesh Kumari, Vengadesh Letchumanan, Loh Teng-Hern Tan

“… The rise of antibiotic resistance has created an urgent need for the discovery of new antibiotic compounds. …”
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Efficient Classification of Pomegranate Diseases Using Deep Learning Models and Interactive Visualization by Mishra Gaurav, Nagaonkar Jagruti, Parmar Harsh, Joshi Gaurav

“…This work tackles the growing hazard of pomegranate infections by utilizing deep learning for early detection and control. We created a strong classification system by implementing models with TensorFlow, Keras, and NumPy, as well as a user-friendly interface with Python and Streamlit. …”
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Development of an Autonomous Driving Path-Generation Algorithm for a Crawler-Type Ridge-Forming Robot by Joong-hee Han, Chi-ho Park

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Circulating progesterone concentrations and pregnancy outcomes in high-producing lactating dairy cows treated with human chorionic gonadotropin on day 2 of the estrus cycle by I. Cuevas-Gómez, L. Molina, J.F. Sánchez-Madueño, I. Sánchez-Madueño, P. Lonergan, D. Rizos, C.C. Pérez-Marín, J.M. Sánchez

“…Overall, treatment with hCG on d 2 of the estrus cycle increased P/AI (45.2% vs. control 38.8%). In first- or second-lactation cows, P/AI was similar between hCG-treated and control cows (47.1% vs. control 45.9%). …”
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