Latest AI and machine learning research in ethics for healthcare professionals.
On the occasion of the sixth AI international Summit (November 22-24, 2023), Professor Daniel Ruecke...
This article identifies and examines a tension in mental health researchers' growing enthusiasm for ...
Non-invasive diabetes detection refers to the utilization and development of technologies and method...
BACKGROUND: Radical resection of lung cancer and chemotherapy are the main methods for the treatment...
BACKGROUND: Hypertension is commonly observed in patients living with chronic kidney disease (CKD). ...
OBJECTIVE: This work investigates if deep learning (DL) models can classify originating site locatio...
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associate...
The role of Artificial Intelligence (AI) in medical science is growing immensely. Since AI contains ...
OBJECTIVE: To explor the potential mechanisms of ferroptosis involvement in non-obstructive azoosper...
Paradox is living phenomenon that provides insights into straight thinking and diverse human experie...
Large language models (LLMs) such as ChatGPT have garnered considerable interest for their potential...
Non-coding RNAs (ncRNAs) play a critical role in the occurrence and development of numerous human di...
Metabolism refers to a series of orderly chemical reactions used to maintain life activities in orga...
BACKGROUND: Retrospective studies have shown promising results using artificial intelligence (AI) to...
Currently, the incorrect judgment of burn depth remains common even among experienced surgeons. Cont...
Synthetic data generation has become increasingly popular with the increasing use of generative netw...
Non-contact methods for monitoring respiration face limitations when it comes to selecting the chest...
The inductive tongue-computer interface allows individuals with tetraplegia to control assistive dev...