Latest AI and machine learning research in endocrinology for healthcare professionals.
To describe a single institution's experience with single-port robotic adrenalectomy (SP-RA) and report perioperative outcomes. This is a retrospective, single-center study of adult patients who underwent SP-RA between January 2019 and April 2022 by a single surgeon using an IRB-approved institutional database. Patient demographics, perioperative data, surgical pathology, and postoperative outco...
Adrenal vein sampling is required for the staging diagnosis of primary aldosteronism, and the frames in which the adrenal veins are presented are called key frames. Currently, the selection of key frames relies on the doctor's visual judgement which is time-consuming and laborious. This study proposes a key frame recognition algorithm based on deep learning. Firstly, wavelet denoising and multi-sc...
MOTIVATION: Diabetes is a chronic metabolic disorder that has been a major cause of blindness, kidney failure, heart attacks, stroke, and lower limb a...
In the United States, more than 12% of the population will experience thyroid dysfunction. Patient symptoms often reported with thyroid dysfunction in...
There is a significant relationship between intestinal polyps and colorectal cancer, and in recent years, research on intestinal polyps has been rapid...
This paper presents a non-contact method for the detection of changes in sow vulva size in a group pen. The traditional approach to estrus detection i...
Low level of drip loss (DL) is an important quality characteristic of meat with high economic value. However, the key genes and regulatory networks co...
Non-Hispanic white (White) populations are overrepresented in medical studies. Potential healthcare disparities can happen when machine learning model...
Deep learning advancements have revolutionized scalable classification in many domains including computer vision, healthcare and Natural Language Proc...
Integrating Electronic Health Records (EHR) and the application of machine learning present opportunities for enhancing the accuracy and accessibility...
OBJECTIVES: In this article, we provide a database of nonproliferative diabetes retinopathy, which focuses on early diabetes retinopathy with hard exu...
BACKGROUND: The incidence of type 2 diabetes is rapidly increasing worldwide. Studies have shown that it is also associated with cancer-related morbid...
BACKGROUND: Diabetes is a common and deadly chronic disease caused by high blood glucose levels that can cause heart problems, neurological damage, an...
BACKGROUND: Thyroid nodules are common lesions in benign and malignant thyroid diseases. More and more studies have been conducted on the feasibility ...
Non-invasive diabetes detection refers to the utilization and development of technologies and methods that can monitor and diagnose diabetes without r...
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming pre...
BACKGROUND: At present, most articles mainly focused on the diagnosis of thyroid nodules by using artificial intelligence (AI), and there was little r...
BACKGROUND: This study utilizes machine learning to analyze the recurrence risk of diabetic foot ulcers (DFUs) in elderly diabetic patients, aiming to...
BACKGROUND: Currently, it is difficult to find a solution to the inverse inappropriate problem, which involves restoring a high-resolution image from ...
With the growing significance of artificial intelligence in healthcare, new perspectives are emerging in primary care. Diabetic retinopathy, a microva...