Latest AI and machine learning research in work force for healthcare professionals.
Timely identification of crop diseases is imperative in precision agriculture to intervene at the right time and maximise yield sustainability. Despite achieving high accuracy, deep learning models are ineffective for rare plant disease classes, mainly due to severe data imbalance and insufficient training samples. Currently, most generative augmentation methods are designed to enhance either visu...
Nuclear mechanical properties influence transcription and cell signaling. Atomic Force Microscopy (AFM) provides high-resolution topography and mechanical properties of living cells. Here, we introduce AFMap-UNet, a deep learning architecture that integrates AFM-derived and optical microscopy data to achieve precise nuclear segmentation. AFM topography maps were combined with enhanced optical chan...
BACKGROUND: The rapid digitization of healthcare has positioned transformer-based natural language processing (NLP) models as powerful tools for manag...
Peptide quantitative structure-activity relationship (PepQSAR) has attracted much attention in the bio- and cheminformatics communities as a well-esta...
BACKGROUND: Vertical ground reaction force (vGRF) is a critical biomarker of joint loading and functional recovery, yet its measurement typically requ...
BACKGROUND: Typhoon disturbances profoundly reshape coastal microbial ecosystems; however, the coupled responses and co-successional dynamics of bacte...
Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at severe neurological diseases. Current clinical practice...
BACKGROUND: Clinicians spend a substantial share of their working hours on documentation, contributing to workflow inefficiencies, reduced patient-fac...
BACKGROUND: Child abuse severely disrupts the healthy growth and development of children, resulting in long-term physical as well as emotional consequ...
The reliability and service life of steel products are largely dependent on the quality of the steel strip, so it is crucial to accurately identify it...
Professional burnout is an increasingly recognized problem among healthcare professionals, including dietitians, and may negatively affect both job sa...
BACKGROUND: Digital health technologies are increasingly embedded in Neonatal Intensive Care Units (NICUs), yet the role of nurse-led governance in sh...
Assessing water resources carrying capacity (WRCC) is essential for regional high-quality development. However, most existing WRCC assessment models f...
Chronic kidney disease (CKD) is a global health concern characterized by high prevalence and mortality rates, yet its underlying pathogenesis remains ...
Molecular docking is a fundamental task in drug discovery, yet many deep learning-based docking methods still struggle to generate physically valid co...
BACKGROUND: Ethical risks of medical artificial intelligence (AI) are a global concern, but existing understanding remains fragmented without an integ...
BACKGROUND: Fentanyl overdose deaths are still increasing across the U.S. Even though the crisis is growing, we still do not fully understand which co...
BACKGROUND: Demographic shifts are increasing the global demand for long-term care services, coinciding with a worldwide shortage of health care perso...
The detection of counter-speech on social media is heavily dependent on the conversational context, particularly in low-resource and code-mixed langua...
OBJECTIVES: To investigate the performance of artificial intelligence (AI) scribes and their impact on clinical documentation time. MATERIALS AND METH...