Latest AI and machine learning research in ethics for healthcare professionals.
Non-sugar sweeteners (NSSs) or artificial sweeteners have long been used as food chemicals since Wor...
Non-small cell lung carcinoma (NSCLC) is the most common type of pulmonary cancer, one of the deadli...
Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critic...
BACKGROUND: Artificial intelligence (AI) systems can potentially aid the diagnostic pathway of prost...
To investigate the factors that influence readmissions in patients with acute non-ST elevation myoca...
In the food industry, the increasing use of automatic processes in the production line is contributi...
Our society, in general, and health care, in particular, faces notable challenges due to the emergen...
Renal cell carcinoma (RCC), accounting for 90% of all kidney cancer, is categorized into clear cell ...
With the growing application of machine learning models in medicine, principlist bioethics has been ...
BACKGROUND: The coronavirus pandemic that started in 2019 has caused the highest mortality and morbi...
RATIONALE AND OBJECTIVES: Lymphovascular invasion (LVI) plays a significant role in precise treatmen...
BACKGROUND: Computer algorithms that simulate lower-doses computed tomography (CT) images from clini...
PURPOSE: Artificial intelligence can reduce the time used by physicians on radiological assessments....
Machine learning (ML) has taken drug discovery to new heights, where effective ML training requires ...
The modern development of healthcare is characterized by a set of large volumes of tabular data for ...
Magnetic resonance imaging is subject to slow acquisition times due to the inherent limitations in d...
Systemic lupus erythematosus (SLE) is an autoimmune disease with multiple symptoms, and its rapid sc...
To fuel artificial intelligence (AI) potential in clinical practice in otolaryngology, researchers m...
BACKGROUND: Efficient and precise diagnosis of non-small cell lung cancer (NSCLC) is quite critical ...
There is evidence that reducing modifiable risk factors and strengthening medical and health interve...