Latest AI and machine learning research in reimbursement for healthcare professionals.
Palliative care is known to improve quality of life in advanced cancer. Natural language processing ...
High computation costs and latency of large language models such as GPT-4 have limited their deplo...
Identifying the Underlying Cause of Death accurately is crucial for effective healthcare policy and ...
Creating standardized billing codes from clinic notes is challenging due to the complexity of over 2...
OBJECTIVES: Administrative data are commonly used to inform chronic disease prevalence and support h...
Clinical document classification is essential for converting unstructured medical texts into stand...
The application of large language models (LLMs) in the medical field has gained significant attent...
Clinical coding is a critical task in healthcare, although traditional methods for automating clin...
Multimodal 3D object detectors leverage the strengths of both geometry-aware LiDAR point clouds an...
The rapid progress in modern medicine presents physicians with complex challenges when planning pa...
Multimodal in-context learning (ICL) has emerged as a key capability of Large Vision-Language Mode...
This study investigates the feasibility of automating clinical coding in Russian, a language with ...
Electronic Health Record (EHR) retrieval plays a pivotal role in various clinical tasks, but its d...
Electrocardiogram (ECG) analysis has emerged as a promising tool for identifying physiological cha...
BACKGROUND: International Classification of Diseases (ICD) codes utilized for congenital heart defec...
Background: Healthcare has many manual processes that can benefit from automation and augmentation...
Extracting cell–cell communication (CCC) from biomedical literature is essential for supporting expe...
Rapid developments are occurring in artificial intelligence (AI) and machine learning (ML) applied t...
Intracerebral hemorrhage (ICH) is a critical form of stroke resulting from bleeding within the brain...
The 24h behaviour profile, including physical activity, sedentary time, and sleep, is disrupted foll...
Implementing machine learning models to identify clinical deterioration on the wards is associated w...