Latest AI and machine learning research in primary care for healthcare professionals.
This study aimed to develop machine learning (ML) models to predict diabetic complications in patien...
: Cancer and related treatments can impair body composition (BC), increasing the risk of malnutritio...
RATIONALE AND OBJECTIVES: To establish an automated osteoporosis detection model based on low-dose a...
Osteoinduction is an important feature of the next generation of bone repair materials. But the key ...
Diabetes is a growing global health concern, affecting millions and leading to severe complications ...
Hip fractures in the elderly present a significant public health challenge globally, especially amon...
Ischemic cerebral infarction is the most prevalent type of stroke, causing significant disability an...
OBJECTIVE: To develop a machine learning (ML)-based admission screening model for hospital-acquired ...
The high prevalence and disability rate of type 2 diabetes (T2D) caused a huge social burden to the ...
BACKGROUND: Cancer remains a significant health challenge in the ASEAN region, highlighting the need...
Understanding speech in noisy environments is a primary challenge for individuals with hearing loss,...
BACKGROUND: Existing literature underscores racial and sociodemographic disparities in prostate canc...
OBJECTIVE: To characterize, via a predictive model using real-world data, patients with diabetes wit...
OBJECTIVE: To estimate Diabetes mellitus (DM) progression at one and two years in terms of glycemic ...
BACKGROUND: In recent years, significant progress has been made in the treatment of nasopharyngeal c...
: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, provi...
BACKGROUND: Circulating cell-free RNA (cfRNA) is gaining recognition as an effective biomarker for t...
The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predic...
Prostate cancer (PC) is one of the most common types of malignancies in men, with a noteworthy incre...
Refractive error is among the leading causes of visual impairment globally. The diagnosis and manage...
Deep learning (DL) enabled liquid-based cytology has potential for cervical cancer screening or tria...