Results 101 to 110 of about 23,994,830 (227)
Comprehensive Evaluation of AI Consent Forms in Otolaryngologic Surgery
ABSTRACT Introduction Surgical consent documents are frequently written at reading levels exceeding average health literacy. Large language models (LLMs) may offer a scalable approach to generating clearer, procedure‐specific consent forms. This study evaluated the clarity, clinical accuracy, and acceptability of consent forms generated by GPT‐4 and ...
Sholem Hack +15 more
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Blinded by the Bot: Benchmarking GPT and Gemini Against Human Authors in Otolaryngology Reviews
ABSTRACT Objective To compare the quality of scientific review articles generated by two artificial intelligence systems, ChatGPT and Gemini, with those written by human authors in the field of otolaryngology. Methods Two otolaryngology topics, chronic rhinosinusitis and infantile subglottic hemangioma, were selected.
Sholem Hack +8 more
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Che cos'è la ragione scientifica? È possibile tenere insieme razionalismo e storicismo? In una panoramica tra le più complete del suo percorso filosofico, Hacking risponde mettendo in luce le condizioni storiche di possibilità dell'oggettivita ...
Vagelli, Matteo +3 more
core
ABSTRACT Objective To compare the ability of large language models (LLMs) and otolaryngologists to identify prognostic signals from brief clinical vignettes in CRSwNP. Methods In this blinded study, 68 adults initiating biologic therapy for CRSwNP (≥ 36 months follow‐up) were represented by standardized vignettes derived from documentation immediately ...
Sholem Hack +12 more
wiley +1 more source
Socialization' phenomenas of modern adolescents: Pro et contra
Context and Relevance. Digital socialization is associated with a number of new phenomena – computer games, cyberbullying, hacking, Net-friendship, phubbing, digital self-harm.
E.N. Volkova
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Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Background We assess if there are indications that results of registry-based studies comparing the effectiveness of interventions might be selectively missing depending on the statistical significance (p
Paula Starke +4 more
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ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source
The Building That Teaches: Exploring Augmented Reality Affordances in Academic Incubators
ABSTRACT Efforts to enhance the experience of interior environments have led to experimentation with augmented reality (AR) technology to encourage users to participate in the built space using their mobile devices. To investigate the role of AR technologies in interior design experiences, we highlight the interdisciplinary design of a mobile AR ...
Leah Scolere, Laura Malinin
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