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. …”

Average error per positive end-expiratory pressure (PEEP) step for each model. by James Cushway (19942288)

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

Summary of five key points guiding the Safe Steps evaluation and implementation. by Esario IV Daguman (21474116)

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Stepped-Wedge Trial Diagram. by Sugy Choi (800862)

“…There is an urgent need to address issues related to equitable access to and the quality of care provided by substance use disorder (SUD) treatment programs. …”

Grouping codes according to drivers and themes. by Jennie Ochshorn (21300213)

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Intervention models and descriptions. by Jennie Ochshorn (21300213)

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Demographic characteristics and dental-related questions (N = 13). by Jennie Ochshorn (21300213)

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Definitions of drivers and within context. by Jennie Ochshorn (21300213)

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Trends of incident opioid users, L-TOT users, and L-TOT discontinuers between 2009 and 2013. by Qian Cai (112039)

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The yearly numerator, denominator and rate of incident opioid users, L-TOT users and L-TOT discontinuers from 2009 to 2019. by Qian Cai (112039)

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Incidence rate ratios of negative binominal regression models for yearly rates of incident opioid users, L-TOT users and L-TOT discontinuers during 2009–2013 and 2015–2019. by Qian Cai (112039)

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Demographic, comorbidity, concurrent drug, and opioid characteristics, among L-TOT users and L-TOT discontinuers between 2009–2019. by Qian Cai (112039)

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Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

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)

One-way univariate sensitivity analysis of input factors comparing 2wT to routine care. by Molly Unsworth (21161686)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Table 2_Evaluating treatment and care outcomes for neuromuscular diseases in a pediatric intermediate care setting.docx by Giacomo Brisca (10963929)

“…</p>Conclusions<p>The establishment of the IMCU has shown promising results in managing NMDs patients, serving as a crucial step-down unit for ICU patients and a step-up unit for those with worsening conditions in low-intensity care units. …”