Latest AI and machine learning research in primary care for healthcare professionals.
This study aimed to use artificial intelligence to determine whether biological and psychosocial factors, such as stress, socioeconomic status, and working conditions, were major risk factors for temporomandibular disorders (TMDs). Data were retrieved from the fourth Korea National Health and Nutritional Examination Survey (2009), with information concerning 4744 participants' TMDs, demographic fa...
BACKGROUND: Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. Although sepsis is a medical emergency that requires immediate management, screening for the occurrence of sepsis is difficult. Herein, we propose a deep learning-based model (DLM) for screening sepsis using electrocardiography (ECG).
OBJECTIVE: Previous studies have shown that excess weight (including obesity and overweight) can increase the risk of cardiovascular, cerebrovascular ...
BACKGROUND: Prevalence for knee osteoarthritis is rising in both Sweden and globally due to increased age and obesity in the population. This has subs...
Approximately 4% of the world's population suffers from rare diseases. A vast majority of these disorders have a genetic background. The number of gen...
OBJECTIVES: To undertake the first systematic review examining the performance of artificial intelligence (AI) applied to cross-sectional imaging for ...
The remarkable advancements in biotechnology and public healthcare infrastructures have led to a momentous production of critical and sensitive health...
Identification of medical conditions using claims data is generally conducted with algorithms based on subject-matter knowledge. However, these claims...
Hypertension is a widespread chronic disease. Risk prediction of hypertension is an intervention that contributes to the early prevention and manageme...
Paired-like homeobox 2B (PHOX2B) gene on chromosome 4p12 codes for a transcription factor having a role in the formation of noradrenergic neuronal c...
Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatme...
Artificial Intelligence (AI) relies upon a convergence of technologies with further synergies with life science technologies to capture the value of m...
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their e...
Advances in (bio)medicine and technological innovations make it possible to combine high-dimensional, heterogeneous health data to better understand c...
Saudi Arabia plays an important strategic role within the Middle East and afar because of its geographical location, and being the host of one of the ...
Gallstones are more common in patients with cirrhosis of the liver, and the incidence increases with severity of liver disease. Pigment stones are the...
(1) Background: Diabetic retinopathy (DR) can cause blindness. Current guidelines on diabetic eye care recommend more frequent eye examinations for mo...
Rare diseases affect millions of people worldwide, and discovering their genetic causes is challenging. More than half of the individuals analyzed by ...
The collapse of overhead power line guyed towers is one of the leading causes of power grid failures, subjecting electricity companies to pay consider...
Incidence rate of mental illness is increasing year by year with the development of city. The amount of modern medical data is huge and complex. In ma...