Latest AI and machine learning research in work force for healthcare professionals.
: Person-centered care (PCC) has become a pivotal concept in healthcare. At present, no published studies have assessed the PCC field using bibliometric tools. This study aimed to identify hot spots, trends, and developmental trajectories within the PCC field. : Publications related to PCC from 2010 to 2024 were extracted from the Web of Science core collection database and analyzed by the Bibliom...
BACKGROUND: The integration of Artificial Intelligence (AI) in nephrology has raised concerns regarding bias, fairness, and ethical decision-making, particularly in the context of Diversity, Equity, and Inclusion (DEI). AI-driven models, including Large Language Models (LLMs) like ChatGPT, may unintentionally reinforce existing disparities in patient care and workforce recruitment. This study inve...
Clinical informatics (CI) is an emerging field within biomedical informatics that sits at the intersection of clinical care, health systems, and healt...
Phosphorus is essential for life and critically influences marine productivity. Despite geochemical evidence of active phosphorus cycling in deep-sea ...
Person re-identification (re-ID) models often fail to generalize well when deployed to other camera networks with domain shift. A classical domain gen...
In deep learning, initializing models with pre-trained weights has become the de facto practice for various downstream tasks. Many unsupervised domain...
Given the audio-visual clip of the speaker, facial reaction generation aims to predict the listener's facial reactions. The challenge lies in capturin...
Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small polyps; however, its integration into clinical practic...
The utilization of large language model-based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance ...
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns vi...
Faculty in dental and health professions education face growing workloads, leading to stress, burnout, and attrition. To address these challenges, Lar...
High-speed and accuracy identification of pathogens has become increasingly critical in both individual patient care and public health. Artificial int...
OBJECTIVE: Ultrasound imaging has emerged as the preferred imaging modality for ovarian tumor screening due to its non-invasive nature and real-time d...
Integrating Artificial Intelligence (AI) with electrocardiograms (ECG) represents a transformative shift in cardiovascular medicine, marking a modern ...
This study investigates to what extent second language production (L2) and translational production are influenced by cognitive constraints due to the...
Real-world large-scale data often exhibit a long-tailed distribution, making a classifier difficult to generalize well on tail categories. A straightf...
Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical...
This narrative review examines the critical nexus between climate change, coronavirus emergence, and Long COVID-a triad that may shape public health o...
Hematology plays a critical role in diagnosing and managing a wide range of blood-related disorders. The manual interpretation of blood smear images, ...
Gosney, S, Parsonage, J, Worsey, M, Keogh, J, MacDonald, L, Denny, A, and Minahan, C. Upper-body strength and range of motion are associated with spri...