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Artificial intelligence (AI) applications in healthcare and considerations for nursing education.
To review the current AI applications in healthcare and explore the implications for nurse educators in innovative integration of this technology in nursing education and training programs. There are a variety of Artificial Intelligence (AI) applications currently supporting patient care in many healthcare settings. A nursing workforce that leverages healthcare technology to enhance efficiency and…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.
Artificial Intelligence (AI) is rapidly transforming the nursing profession, presenting significant opportunities and challenges. Despite its promising potential in enhancing nursing education, clinical practice, and operational efficiency, critical barriers related to ethics, workforce adaptation, and humanistic care persist. This integrative review systematically evaluates the integration of AI …
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Applications of Artificial Intelligence in Nursing Care: A Systematic Review.
To synthesise the available evidence on the applicability of artificial intelligence in nursing care. Artificial intelligence involves the replication of human cognitive abilities in machines, allowing to perform tasks that conventionally necessitate human cognition. However, its application in health sciences is a recent one, and its use is currently limited to supporting the diagnosis and progno…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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The integration of artificial intelligence into clinical medicine: Trends, challenges, and future directions.
AI has emerged as a transformative force in clinical medicine, changing the diagnosis, treatment, and management of patients. Tools have been derived for working with ML, DL, and NLP algorithms to analyze large complex medical datasets with unprecedented accuracy and speed, thereby improving diagnostic precision, treatment personalization, and patient care outcomes. For example, CNNs have dramatic…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Quantitative cardiac MRI.
Cardiac MRI has become an indispensable imaging modality in the investigation of patients with suspected heart disease. It has emerged as the gold standard test for cardiac function, volumes, and mass and allows noninvasive tissue characterization and the assessment of myocardial perfusion. Quantitative MRI already has a key role in the development and incorporation of machine learning in clinical…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration.
The administrative burden of clinical documentation contributes to health care practitioner burnout and diverts valuable time away from direct patient care. Ambient artificial intelligence (AI) scribes-also called "digital scribes" or "AI scribes"-are emerging as a promising solution, given their potential to automate clinical note generation and reduce clinician workload, and those specifically b…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Health informatics.
Health informatics is the development and assessment of methods and systems for the acquisition, processing and interpretation of patient data with the help of knowledge from scientific research. This definition implies that health informatics is not tied to the application of computers but more generally to the entire management of information in healthcare. The focus is the patient and the proce…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges.
Artificial Intelligence is in the phase of health care, with transformative innovations in diagnostics, personalized treatment, and operational efficiency. While having potential, critical challenges are apparent in areas of safety, trust, security, and ethical governance. The development of these challenges is important for promoting the responsible adoption of AI technologies into healthcare sys…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Large language models for conducting systematic reviews: on the rise, but not yet ready for use-a scoping review.
Machine learning promises versatile help in the creation of systematic reviews (SRs). Recently, further developments in the form of large language models (LLMs) and their application in SR conduct attracted attention. We aimed at providing an overview of LLM applications in SR conduct in health research. We systematically searched MEDLINE, Web of Science, IEEEXplore, ACM Digital Library, Europe PM…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Diabetes and artificial intelligence beyond the closed loop: a review of the landscape, promise and challenges.
The discourse amongst diabetes specialists and academics regarding technology and artificial intelligence (AI) typically centres around the 10% of people with diabetes who have type 1 diabetes, focusing on glucose sensors, insulin pumps and, increasingly, closed-loop systems. This focus is reflected in conference topics, strategy documents, technology appraisals and funding streams. What is often …
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」