Latest AI and machine learning research in cultural competence for healthcare professionals.
Robotics is entering our daily lives. The discipline is increasingly crucial in fields such as agric...
Parkinson's disease (PD) is a neurodegenerative and progressive disease that impacts the nerve cells...
Stereo matching cost constrains the consistency between pixel pairs. However, the consistency constr...
Large language models (LLMs) are advanced artificial intelligence (AI) systems that excel in recogni...
The role of artificial intelligence (AI) in cancer care has evolved in the face of ageing population...
OBJECTIVE: Letters of reference (LORs) play an important role in postgraduate residency applications...
OBJECTIVES: Artificial intelligence (AI) systems have the potential to revolutionize clinical practi...
As the health care industry increasingly embraces large language models (LLMs), understanding the co...
Deep learning models (DLMs) have gained importance in predicting, detecting, translating, and classi...
The global health crisis posed by increasing antimicrobial resistance (AMR) implicitly requires solu...
Generalized zero-shot learning (GZSL) aims to recognize both seen and unseen classes, while only sam...
Pre-trained Language Model (PLM) is nowadays the mainstay of Unsupervised Sentence Representation Le...
OBJECTIVE: To develop a natural language processing (NLP) package to extract social determinants of ...
There are mounting concerns regarding inherent bias, safety, and tendency toward misinformation of l...
In the fall of 2021, several experts in this space delivered a Webinar hosted by the American Societ...
In clinical settings, the implementation of deep neural networks is impeded by the prevalent problem...
Pollyanna hypothesis claims that human beings have a universal tendency to use positive words more f...
Predicting treatment outcome in internalizing mental disorders prior to treatment initiation is pivo...
The introduction of artificial intelligence (AI) into radiology promises to enhance efficiency and i...
OBJECTIVE: The integration of artificial intelligence (AI) and machine learning (ML) in health care ...
The entrustment framework redirects assessment from considering only trainees' competence to decisio...