Ethics

The utility of large language models in oncological multidisciplinary team meetings: A systematic review.

Large language models (LLMs) have emerged in recent years as innovative artificial intelligence systems with early potential in clinical decision-making. This is the first systematic review to evaluate LLMs' oncological decision-making and compare their treatment recommendations to "gold standard" oncological multi-disciplinary team (MDT) decision-making. PubMed, EMBASE and Medline databases were ...

Artificial intelligence for accurate tumor size assessment and non-invasive adenocarcinoma prediction in small-sized lung cancer.

INTRODUCTION: Accurate preoperative imaging is essential for improving the treatment of small lung cancers. Precise identification of non-invasive adenocarcinomas is critical for determining the suitability of sublobar resection. Conventional methodologies frequently demonstrate variability, particularly for small tumors or ground-glass nodules (GGNs). Artificial intelligence (AI) offers a consist...

Ethics in publishing: From plagiarism to artificial intelligence.

The digitization of research has transformed how evidence is gathered, hypotheses are generated, and manuscripts are written, introducing ethical chal...

[Deep learning-based assessment of periodontal ligament area changes in maxillary central incisors under different orthodontic regimens using cone-beam CT images].

Objective: To investigate the differences in the changes of periodontal ligament area (PDLA) and related clinical indicators before and after maxillar...

Engaging stakeholders, shaping AI ethics: Targeted engagement in corporate AI ethics statements.

Corporate AI ethics statements are being increasingly integrated into sustainability communication to showcase responsible AI performance as part of b...

Forecasting-based biomedical time-series data synthesis for open data and robust AI.

The limited data availability due to strict privacy regulations and significant resource demands severely constrains biomedical time-series AI develop...

Generative AI Ethics Toolkit for Clinical Prioritization in Nursing Education.

The rapid adoption of generative artificial intelligence (GenAI) in nursing education presents urgent ethical challenges, particularly as students emp...

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised, controlled trial.

INTRODUCTION: Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact be...

PHIVE: A physics-informed variational encoder enables rapid spectral fitting of brain metabolite mapping at 7T.

Magnetic Resonance Spectroscopic Imaging (MRSI) enables non-invasive mapping of brain metabolite concentrations but remains computationally intensive ...

Cultivating Clarity: Integrating Zen-Informed Principles Into Contemporary Radiology Practice.

Modern radiology requires sustained attention, rapid decision-making, and emotional resilience amid increasing imaging volumes, diagnostic complexity,...

Performance validation of an artificial intelligence-assisted chest radiograph algorithm for incidental pulmonary nodule detection in Malaysian healthcare facilities: a multicentre cross-sectional study protocol.

INTRODUCTION: Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and ...

Digital Ethics in Nursing: A Scoping Review.

AIM: To map the digital ethics studies published to date in the field of nursing. BACKGROUND: The integration of digitalization in the healthcare sect...

Inverse design method of optical devices for generating target near-fields via physics-informed neural networks.

We propose a method for inverse design of optical devices to generate target near-fields using physics-informed neural networks (PINNs). A finite-diff...

An AI Tutorial for Speech and Language Therapists: Translating Concepts From the AI Literature Into Accessible Knowledge and Clinically Relevant Applications.

BACKGROUND: Artificial Intelligence (AI) is increasingly discussed as a tool that can support speech and language therapy (SLT). However, clinical ado...

Tailored AI ethics: Enacting geriatric care with AI-based patient monitoring.

Artificial intelligence (AI) systems are increasingly integrated into clinical practice, where they demonstrate potential to mitigate adverse events t...

IoT framework for sports activity safety monitoring based on wearable sensors and CRNN spatiotemporal analysis.

The integration of wearable sensors and IoT technology provides new technical means for sports activity monitoring. However, existing solutions still ...

Examining media coverage of ethical dimensions of advanced algorithmic technology.

The rapid integration of artificial intelligence, machine learning, and data science into daily life raises ethical concerns and stimulates discussion...

A large-scale dataset and physics-informed neural network for viscosity prediction in many-component aqueous and organic solutions.

Modern industrial liquids-including coolants, lubricants, solvent blends, cryoprotectant cocktails, etc.-frequently employ complex, many-component for...

Ethics training competencies and leadership enable responsible AI in hospitality and tourism.

Artificial intelligence (AI) is reshaping the service industries, increasing demand for fair, transparent, and ethical systems. This study examined ho...

Impact of quality routine health data utilisation on health service delivery outcomes in low-income and middle-income countries: a systematic review protocol.

BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health information. However, in many low-income and middle-income c...