Latest AI and machine learning research in endocrinology for healthcare professionals.
The emergence of the COVID-19 pandemic over a relatively brief interval illustrates the need for rap...
With the presentation of the blueprint of the first human genome in 2001 and the advent of technolog...
AIMS: This study aims to predict poor glycemic control during Ramadan among non-fasting patients wit...
In this paper, we present a methodology based on generative adversarial network architecture to gene...
Hashimoto's thyroiditis (HT) is the main cause of hypothyroidism. We develop a deep learning model c...
Human microbiome consists of trillions of microorganisms. Microbiota can modulate the host physiolog...
At present, diabetes is one of the most important chronic noncommunicable diseases, that have threat...
Facility layout planning (FLP) is an integral part of the hospital layout design. The purpose of thi...
The eye is one of the most important organs of the human body. Eye diseases are closely related to o...
Traceless physical cues are desirable for remote control of the in situ production and real-time dos...
Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which delays tr...
There are many thyroid diseases affecting people all over the world. Many diseases affect the thyroi...
Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a chall...
OBJECTIVE: To define the conversion risk to open procedure during robot-assisted thyroid surgery (RA...
BACKGROUND: Thyroid cancer (THCA) is the most common endocrine malignancy and incidence is increasin...
Electroencephalography (EEG) is widely used for mental stress classification, but effective feature ...
INTRODUCTION: Minimal invasive surgeries (MIS) for large size adrenal tumors are still debatable. Th...
Affective computing through physiological signals monitoring is currently a hot topic in the scienti...
In today's world, diabetic retinopathy is a very severe health issue, which is affecting many humans...
OBJECTIVES: We aimed to design a radiomics model for differential diagnosis of thyroid carcinoma bas...
OBJECTIVE: To train and validate a code-free deep learning system (CFDLS) on classifying high-resolu...