Latest AI and machine learning research in work force for healthcare professionals.
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an integrated image-language system (DeepDR-LLM), combining a large language model (LLM module) and image-based deep learning (DeepDR-Transformer), to provid...
BACKGROUND: Depression is one of the most common mental disorders that affects >300 million people worldwide. There is a shortage of providers trained in the provision of mental health care, and the nursing workforce is essential in filling this gap. The diagnosis of depression relies heavily on self-reported symptoms and clinical interviews, which are subject to implicit biases. The omics methods...
BACKGROUND: The increasing accessibility of artificial intelligence (AI) text-to-image generators offers a novel avenue for exploring societal percept...
Grasping and object manipulation have been considered key domains of Cyber-Physical Systems (CPS) since the beginning of automation, as they are the m...
Though artificial intelligence (AI) is being widely implemented in gastroenterology (GI) and hepatology and has the potential to be paradigm shifting ...
The integration of artificial intelligence (AI) with healthcare has opened new avenues for diagnosing, treating, and managing medical conditions with ...
This research addresses the rapid aging phenomenon prevalent in Asian societies, which has led to a significant increase in elderly individuals reloca...
In the realm of pulmonary tracheal segmentation, the scarcity of annotated data stands as a prevalent pain point in most medical segmentation endeavor...
BACKGROUND: Neuro-ophthalmology frequently requires a complex and multi-faceted clinical assessment supported by sophisticated imaging techniques in o...
Physician burnout, a significant problem in modern healthcare, adversely affects healthcare professionals and their organizations. This essay explores...
The lack of large datasets and high-quality annotated data often limits the development of accurate and robust machine-learning models within the medi...
Identifying links within biological networks is important in various biomedical applications. Recent studies have revealed that each node in a network...
For upper limb rehabilitation, the robot-assisted technique in combination with serious games requires well-specified training plans. For the best qua...
BACKGROUND: Champions of AI-facilitated clinical documentation have suggested that the emergent technology may decrease the administrative loads of ph...
Under Taiwan's National Health Insurance (NHI) system, it's crucial for all healthcare providers to accurately submit medical expense claims to the Na...
Simultaneous acquisition is a construction method that has been proposed in recent years to meet the requirements of ultra-large-scale and high-precis...
This study aims to enhance the post-training evaluation of the annual performance agreement (APA) training organized by the Bangladesh Public Administ...
INTRODUCTION: Electronic patient messaging utilization has increased in recent years and has been associated with physician burnout. ChatGPT is a lang...
This review explores the transformative potential of Artificial Intelligence (AI) in the light of evolving threats to planetary health, particularly t...
BACKGROUND: Nurse burnout leads to an increase in turnover, which is a serious problem in the health care system. Although there is ample evidence of ...