Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
OBJECTIVE: A trial comparing extended-release naltrexone and sublingual buprenorphine-naloxone demon...
Brain tumor diagnosis using MRI scans poses significant challenges due to the complex nature of tumo...
In the dynamic domain of logistics, effective communication is essential for streamlined operations....
BACKGROUND: Prediabetes is a highly prevalent condition that heralds an increased risk of progressio...
Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard ...
OBJECTIVES: Differentiating intestinal tuberculosis (ITB) from Crohn's disease (CD) remains a diagno...
Surgical site complications (SSCs) are common, yet preventable hospital-acquired conditions. Single...
As an autoimmune-mediated inflammatory demyelinating disease of the central nervous system, multiple...
Thoracic radiographs are an essential diagnostic tool in companion animal medicine and are frequentl...
Errors in pharmacy medication directions, such as incorrect instructions for dosage or frequency, ca...
The treadmill exercise test (TET) serves as a non-invasive method for the diagnosis of coronary arte...
Machine learning (ML) has facilitated property prediction for intricate materials by integrating mat...
AIMS: In an era of evolving diagnostic possibilities, existing diagnostic systems are not fully suff...
Pulmonary Embolisms (PE) represent a leading cause of cardiovascular death. While medical imaging, t...
Multiple sclerosis poses diagnostic and therapeutic challenges for healthcare professionals, with a ...
In human-human and human-robot interaction, the counterpart influences the human's affective state. ...
People with impaired decision-making capacity enjoy the same rights to access technology as people w...
Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. A...
This article evaluates the ethical implications of utilizing artificial intelligence (AI) algorithms...
INTRODUCTION: Owing to the heterogenic picture of bipolar disorder, it takes approximately 8.8 years...
There is increasing interest and use of artificial Intelligence algorithms and methods in biomedical...