Results 131 to 140 of about 24,277 (306)
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley +1 more source
Workflow for comparing three LLMs in radiographic anatomical identification using 30 radiographs and 196 anatomy questions across Normal and Thinking modes, with expert scoring and temporal consistency analysis. Abstract This study compared the performance of three large language models, ChatGPT‐5 Plus, Gemini 2.5 Pro, and SuperGrok 4, in identifying ...
Ismail Sivri +4 more
wiley +1 more source
When AI outputs become documents: Documentation activity in human–AI dialogue
Abstract Large language models (LLMs) generate texts that increasingly circulate as documents in knowledge infrastructures, yet their documentary status remains theoretically underdetermined. Unlike traditional documents, LLM outputs lack identifiable authorship, stable provenance, or testimonial grounding.
Sascha Donner
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Student perspectives on AI‐supported formative assessment in pharmacology
Abstract Aims High‐quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource‐intensive to produce. Artificial intelligence (AI) offers a potential solution, but little is known about students' perspectives on AI‐generated feedback.
Jon Andsnes Berg +6 more
wiley +1 more source
On the Hallucination in Simultaneous Machine Translation
It is widely known that hallucination is a critical issue in Simultaneous Machine Translation (SiMT) due to the absence of source-side information. While many efforts have been made to enhance performance for SiMT, few of them attempt to understand and ...
Xue, Zhengshan +5 more
core
Aim This report presents a series of 16 patients who were admitted to the emergency department following confirmed intake of the potent synthetic cannabinoid ADB‐CHMINACA. Methods The cases are drawn from a prospective observational study following the recreational use of synthetic cannabinoids.
Maren Hermanns‐Clausen +7 more
wiley +1 more source
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations
The troubling rise of hallucination presents perhaps the most significant impediment to the advancement of responsible AI. In recent times, considerable research has focused on detecting and mitigating hallucination in Large Language Models (LLMs ...
Anand, Neeraj +6 more
core
Abstract Aims We studied the prevalence of psychotropic use and psychotropic polypharmacy in persons with Parkinson's disease (PD) during a 10‐year follow‐up, because longitudinal studies on this topic are scarce although non‐motor symptoms of PD are often treated with psychotropics.
Noora Nieminen +4 more
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Suppressing Hallucination for Trustworthy LLMs [PDF]
This paper investigates the foundational causes of hallucination in large language models (LLMs) and proposes a structural framework for achieving trustworthy AI systems.
Jun, Daedo
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Exploring new avenues: Psychedelic‐assisted therapy for young people
Rates of mental illness in young people are increasing, whereas the development of novel mental health treatments has not significantly progressed. Psychedelic‐assisted therapy, using substances such as psilocybin and 3,4‐methylenedioxymethamphetamine (MDMA), has shown potential in the treatment of mental illnesses in the adult population, including ...
Ioanna Artemis Vamvakopoulou +3 more
wiley +1 more source

