Brief summary highlighting the study methology. a) AI Tool Development and Pediatric Repurposing: The AI tool was originally trained and validated using a large dataset of adult ch... by Prerana Agarwal (21781515)

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Strengthening assessment integrity in the era of generative AI: evidence from a large-scale study by Liz Hardie (22277602)

“…This large-scale empirical study at a UK university, based on 590 student and 354 AI-generated answers, provides evidence on markers’ ability to detect the GenAI scripts and whether some assessment types are more robust than others against GenAI misuse. …”

Identification and Description of Emotions by Current Large Language Models - Dataset by Suketu Patel (17748162)

“…<p dir="ltr">The assertion that artificial intelligence (AI) cannot grasp the complexities of human emotions has been a long-standing debate. …”

AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms by I. de Zarza (17378452)

“…<p dir="ltr">Presentation for PhD thesis:</p><p dir="ltr">AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms https://doi.org/10.4995/Thesis/10251/202201</p><p dir="ltr">Abstract:</p><p dir="ltr">The proliferation of autonomous systems, and their increasing integration with day-to-day human life, have opened new frontiers of research and development. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

Table 2_ePWV as a scalable risk factor for large-scale glaucoma screening: evidence from a national Chinese cohort.docx by Yupeng Xu (6787604)

Table 1_ePWV as a scalable risk factor for large-scale glaucoma screening: evidence from a national Chinese cohort.docx by Yupeng Xu (6787604)

<b>Enhancing Human-AI Interactions: The Impact of Pseudo-code Engineering on Improving Predictability and Stability in Large Language Models</b> - Appendix A by Gian Michaelsen (18824614)

“…On the other hand, prompts that integrate both natural language and pseudo-code see a 20% increase in content richness compared to those that use only natural language. …”

Conceptual model describing the six steps of implementing MDR and related themes. by Rachel Hennein (9565030)

Average Gait Speed (A), Cadence (B), Step Length (C), and Walk Ratio (D) across Terrains; Violin plots with individual participant data of A) gait speed, B) cadence, C) average ste... by Benjamin S. Killen (22766029)

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Supplementary file 1_Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain.pdf by Birger Moëll (21699569)

“…Introduction<p>We present the Swedish Medical LLM Benchmark (SMLB), an evaluation framework for assessing large language models (LLMs) in the Swedish medical domain.…”

AI augmentation in evidence synthesis workflows. by Alaa Al Khourdajie (13843729)

“…This essay provides a clear path for the responsible, expert-led integration of AI, ensuring it serves to augment, not replace, human expertise.…”

Table 1_Association between the atherogenic index of plasma and risk of large-artery atherosclerotic ischemic stroke.xlsx by Wen Zhong (425650)

“…Objective<p>Ischemic stroke caused by large artery atherosclerosis (LAA) is a major subtype of ischemic stroke and poses a heavy public health burden. …”

Table_1_The impact of large language models on higher education: exploring the connection between AI and Education 4.0.XLSX by Iris Cristina Peláez-Sánchez (18827128)

“…Artificial Intelligence (AI), particularly Generative AI (GAI), has emerged as a pivotal disruption in education, showcasing the capability to produce diverse and context-relevant content. …”

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…</p><p><br></p><p dir="ltr">The data are related to the scientific paper “Sibaja Leyton M. et al., (under review) Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas”.</p><p dir="ltr">Data are available as a csv file titled:</p><p dir="ltr">"Sibaja_Leyton_et_al_Dataset_Stingless_Bee_Colony_Losses_in_Latin_America.csv".…”

Data_Sheet_1_Advanced large language models and visualization tools for data analytics learning.csv by Jorge Valverde-Rebaza (19350325)

<b>The Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Antidiabetic Medication Under Conditions of Clinical Uncertainty</b> by James H. Flory (236115)

“…After modifying the prompt to encourage metformin use, the selection of metformin by GPT-4 increased to 25% (95% CI 22%–28%). GPT-4 rarely selected metformin in patients with impaired kidney function, or a history of gastrointestinal distress (2.9% of responses, 95% CI 1.4%–5.5%). …”

Human-AI Collaborative Journaling with POCKET-MIND: A Dual-Prompt Framework for Emotional Exploration and Goal Attainment by HaeJi Yang (22829125)

“…<p>Human-AI collaborative systems are increasingly explored as tools for promoting mental well-being and supporting personal development. …”

Data Sheet 1_Conversational AI agent for precision oncology: AI-HOPE-WNT integrates clinical and genomic data to investigate WNT pathway dysregulation in colorectal cancer.docx by Ei-Wen Yang (149486)

“…</p>Methods<p>AI-HOPE-WNT employs a modular architecture combining large language models (LLMs), a natural language-to-code engine, and a backend statistical workflow interfaced with harmonized data from cBioPortal. …”

All possible options for each step of the machine learning pipeline. by Mohamed Abdalla (10100115)