Latest AI and machine learning research in primary care for healthcare professionals.
Gastric cancer is a common cause of death worldwide and its early detection is crucial to improve it...
Gestational diabetes mellitus (GDM) is a hyperglycaemic imbalance first recognized during pregnancy,...
Personalized medicine is among the most exciting innovations in recent clinical research, offering t...
PURPOSE: Thyroid-associated ophthalmopathy (TAO) might lead to blindness and orbital deformity. The ...
Nanoclusters add an additional dimension in which to look for promising catalyst candidates, since c...
Rheumatoid arthritis (RA) is a chronic autoimmune disease, which is compared to "immortal cancer" in...
To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments have establi...
A reliable diagnosis of adult Attention Deficit/Hyperactivity Disorder (ADHD) is challenging as many...
The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates a...
PURPOSE: To evaluate the diagnostic accuracy of a diagnostic system software for the automated scree...
BACKGROUND: Screening for influenza in primary care is challenging due to the low sensitivity of rap...
Deep learning approaches have demonstrated remarkable progress in automatic Chest X-ray analysis. Th...
Antenatal screening for beta thalassemia trait (BTT) followed by counseling of couples is an efficie...
Chemically unstable natural products are prone to show their reactivity in the procedures of extract...
Chemical similarity-based approaches employed to repurpose or develop new treatments for emerging di...
Ulcerative colitis is a type of inflammatory bowel disease characterized by chronic and recurrent no...
BACKGROUND/AIMS: We aimed to develop a deep learning model for the prediction of the risk of advance...
BACKGROUND: A risk assessment tool has been developed for automated estimation of level of neuropath...
INTRODUCTION: Lipoedema is characterized as subcutaneous lipohypertrophy in association with soft-ti...
Transfer learning, which transfers patterns learned on a source dataset to a related target dataset ...
BACKGROUND: The high demand for health care services and the growing capability of artificial intell...