Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Nursing ethics guides practice, but European Union national codes were developed in diverse socio-legal contexts, generating heterogeneous emphases. PURPOSE: To compare European Union nursing codes of ethics, mapping convergences, divergences, and emerging ethical dimensions. METHODS: Qualitative documentary analysis with thematic content analysis examined 22 European Union member-stat...
Nano-enabled pesticides (NanoPs) formulations have emerged as promising alternative to conventional pesticides by improving ingredient stability, delivery, and controlled release. However, their unique physicochemical properties also influence interactions with soil microorganisms, raising concerns regarding ecological safety and long-term impacts on soil ecosystem functions. This review has criti...
BACKGROUND: Automated phlebotomy has the potential to improve patient outcomes and address phlebotomist workforce challenges. The Autonomous Blood Dra...
BACKGROUND: Inference-time retrieval augmentation is increasingly used to improve the traceability and verifiability of large language model (LLM) app...
OBJECTIVE: Patients frequently seek health information and medical advice from chatbots instead of consulting their physicians or referring to credibl...
AIMS: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by poor prognosis, extensive perineural invasion (PNI), ...
RATIONALE AND OBJECTIVES: To develop a multimodal ultrasound radiomics model based on conventional ultrasound and three-phase contrast-enhanced ultras...
Large-scale ecological restoration is increasingly promoted as a strategy for environmental sustainability, but its implications for population health...
PURPOSE: To evaluate whether ChatGPT-assisted informed consent (IC) is noninferior to conventional physician-led IC in reducing preoperative anxiety (...
OBJECTIVE: To assess whether large language model (LLM)-based clinical trial screening judgments vary by patient sociodemographic characteristics. MAT...
OBJECTIVE: To evaluate and compare the performance of large language models (LLMs) in identifying contributing factors (CFs) underlying patient safety...
Adequate placental structure and function are crucial for fetal growth, while placental dysfunction often leads to fetal growth restriction (FGR), ass...
OBJECTIVES: The pharmaco-epidemiological research program in kidney transplantation (PERP-KT) aims to evaluate, for the principal maintenance immunosu...
OBJECTIVE: This study aimed to evaluate the quality of GPT-4-generated responses to commonly asked psychosis-related psychoeducational questions from ...
BACKGROUND: Large language models (LLMs) have recently demonstrated exceptional capabilities, offering the potential to streamline workflows and enhan...
Rare‑disease drug development is constrained by small and heterogeneous patient populations, limited natural‑history data, and the impracticality of l...
AIM: To provide an early-stage integrative synthesis of shared and scenario-specific ethical risks of Conversational Artificial Intelligence in nursin...
OBJECTIVE: Artificial intelligence (AI) shows promise for improving cancer management, but clinical adoption is limited by the absence of standardized...
BACKGROUND: AI has become increasingly used in mental health care for applications such as diagnosis, monitoring, and treatment support. These include...
BACKGROUND: Recent advances in large language models (LLMs) such as GPT-3/4 have spurred the development of artificial intelligence (AI) chatbots and ...