Latest AI and machine learning research in state required cme for healthcare professionals.
Multimodal Information Extraction (MIE)-covering tasks such as Multimodal Named Entity Recognition (...
The development of medical AI is constrained by limited access to high-quality clinical data due to ...
Purpose: To evaluate the efficacy of large language models (LLMs) in extracting medication-related i...
Continuous electrocardiography (ECG) monitoring could surface rhythm abnormalities before they escal...
Large language models embedded in autonomous agents process trusted instructions and untrusted data ...
We present VA-LLM, a 1.62-billion-parameter autoregressive transformer pre-trained from scratch on 1...
Automated recognition of autistic behaviors in children is essential for early intervention and obje...
Background: Manual chart abstraction is a major bottleneck in clinical research. In oncology, import...
Background: Longitudinal measurement of depression severity in outpatient psychiatric care is limite...
Reinforcement learning (RL) has emerged as a promising paradigm for enhancing image editing and text...
Large healthcare institutions typically operate multiple business intelligence (BI) teams segmented ...
Duplicate records pose significant challenges in customer relationship management (CRM)and healthcar...
The digitization of healthcare has generated massive volumes of Electronic Health Records (EHRs), of...
Background Patients with repaired tetralogy of Fallot (rTOF) require lifelong surveillance with card...
Healthcare institutions have access to valuable patient data that could be of great help in the deve...
Instruction-based image editing (IIE) has advanced rapidly with the success of diffusion models. H...
Mechanical ventilation is crucial for critically ill patients in ICUs, requiring accurate weaning an...
The increasing volume of healthcare textual data requires computationally efficient, yet highly ac...
Digital images of Chinas maps play a crucial role in map detection, particularly in ensuring natio...
Observing and forecasting coronal mass ejections (CME) in real-time is crucial due to the strong g...
We present a transformer model, named DeepHalo, to predict the occurrence of halo coronal mass eje...