Latest AI and machine learning research in surveys for healthcare professionals.
Over 2Â billion people worldwide are impacted by the global dilemma of access to clean and safe drink...
PURPOSE: To evaluate the clinimetric reliability of automated vestibular schwannoma (VS) segmentatio...
While reinforcement learning (RL) achieves tremendous success in sequential decision-making problems...
Prolonged exposure to high-stress environments can lead to mental illnesses such as anxiety disorder...
In the era of rapid digital communication, vast amounts of textual data are generated daily, demandi...
Timely recognition and initiation of basic life support (BLS) before emergency medical services arri...
BACKGROUND: Artificial intelligence (AI) chatbots are increasingly used for medical inquiries, inclu...
Chronic noncommunicable diseases (NCDS) are often characterized by gradual onset and slow progressio...
BACKGROUND: In recent years, there has been a rapid increase in the use of the internet and social m...
Workplace violence, defined as any disruptive behavior or threat to employees, seriously threatens ...
Loneliness and social isolation are distressing for individuals and predictors of mortality, yet dat...
X-ray images are vital in medical diagnostics, but their effectiveness is limited without clinical c...
BACKGROUND: The ageing global population necessitates specialised geriatric/gerontological physiothe...
Magnetic resonance imaging (MRI) is a non-invasive imaging technique that provides high soft tissue ...
BACKGROUND: As large language model (LLM)-based chatbots such as ChatGPT (OpenAI) grow in popularity...
Few-shot learning has demonstrated remarkable performance in medical image segmentation. However, ex...
Machine learning's (MLs) ability to capture intricate patterns makes it vital in neural engineering ...
INTRODUCTION: Khat chewing is a significant public health issue in Ethiopia, influenced by various d...
Analyzing the impacts of climate change (CC) and human activities (HA) on hydrological events is imp...
Advances in artificial intelligence (AI) have achieved expert-level performance in medical imaging a...
BACKGROUND: As artificial intelligence (AI) becomes increasingly integral to healthcare, preparing m...