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

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

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. …”

Bibliometric methods for identifying AI-assisted papers by Andrew Gray (10234100)

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.…”

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)

“…Additionally, patients under 50 with APC-mutant primary tumors showed worse survival (p = 0.031) and increased mutation prevalence.</p>Conclusion<p>AI-HOPE-WNT is the first dedicated AI platform for WNT pathway analysis in CRC. …”

Example of reference standard and AI output. by Prerana Agarwal (21781515)

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Feature engineering. by Youli Jiang (15249070)

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Data Sheet 1_Large language models for closed-library multi-document query, test generation, and evaluation.docx by Claire Randolph (19747105)

“…</p>Results<p>Coverage of source documents by LLM-RAG generated questions decreases as the length of documents increase. Segmenting source documents improve coverage of generated questions. …”

Example of the prompts used to query the tested Large Language Models (LLMs). by Nicola Luigi Bragazzi (6931424)

Conceptual integration of AI-generated products into the IPCC assessment workflow. by Alaa Al Khourdajie (13843729)

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)

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

Opening the Black Box(es) by Charles Pence (99065)

Image examples representing strengths and limitations of the AI tool. by Prerana Agarwal (21781515)

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Definition of optimal thresholds for the performance of the AI-tool in children. by Prerana Agarwal (21781515)

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Definition of optimal thresholds for the performance of the AI-tool in children. by Prerana Agarwal (21781515)

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