Latest AI and machine learning research in ethics for healthcare professionals.
Projector compensation on non-flat, textured surfaces represents a formidable challenge in computati...
The rapid development and integration of interconnected healthcare devices and communication network...
This review discusses the introduction of healthcare robots, such as those that provide transfer, to...
Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including f...
Biological activities observed in living systems occur as the output of which nanometer-, submicrome...
Pre-implantation genetic testing for aneuploidy (PGT-A) via embryo biopsy helps in embryo selection ...
Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impact...
Placebo effect represents a serious confounder for the assessment of treatment effect to the extent ...
Single-cell omics technologies have revolutionized the study of long non-coding RNAs (lncRNAs), offe...
Precision medicine significantly enhances patients prognosis, offering personalized treatments. Part...
Paradox is living phenomenon that provides insights into straight thinking and diverse human experie...
BACKGROUND: Caregiver burden significantly affects both patients and caregivers but is often overloo...
As society rapidly digitizes, successful aging necessitates using technology for health and social c...
In recent years, with the increasing societal focus on drug quality and safety, quality issues have ...
BACKGROUND: Non-small-cell lung cancer (NSCLC) remains a global health challenge, driving morbidity ...
BACKGROUND: Non-small cell lung cancer (NSCLC) is a global health challenge. Chemotherapy remains th...
The retinogeniculate visual pathway (RGVP) is responsible for carrying visual information from the r...
OBJECTIVE: To construct a non-invasive pre-hospital screening model and early based on artificial in...
Despite deep learning being state of the art for data-driven model predictions, its application in e...
PURPOSE: Limited studies have used natural language processing (NLP) in the context of non-small cel...
This study explores the potential of federated learning (FL) to develop a predictive model of hypoxe...