Latest AI and machine learning research in primary care for healthcare professionals.
Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous thr...
BACKGROUND AND OBJECTIVES: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric ima...
The use of artificial intelligence in medicine is currently an issue of great interest, especially w...
BACKGROUND: Diabetes mellitus is a chronic disease that impacts an increasing percentage of people e...
Various machine learning techniques have been developed for keratoconus detection and refractive sur...
The dental disease is a common disease for a human. Screening and visual diagnosis that are currentl...
In this work, random forest (RF), support vector machine, k-nearest neighbor and C4.5 decision tree,...
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in reti...
The low intensity ultrasound has been adopted by researchers to enhance the bactericidal effect agai...
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive...
The lifestyle of modern society has changed significantly with the emergence of artificial intellige...
Methods of three-dimensional molecular alignment generally treat all pharmacophore features equally ...
OBJECTIVE: Economic assessments of newborn screening programs for rare diseases involve the use of m...
BACKGROUND: Self-monitoring blood glucose (SMBG) is facilitated by application available to analyze ...
Osteosarcoma is a common malignant bone tumor in children and adolescents under the age of 20. Howev...
We consider the problem in precision health of grouping people into subpopulations based on their de...
BACKGROUND: Current automated cervical cytology screening systems require purchase of a dedicated pr...
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in th...
The obesity epidemic progresses everywhere across the globe, and implementing frequent nationwide su...
Although machine learning models are increasingly being developed for clinical decision support for ...
It has been demonstrated that triterpenes in Alismatis rhizoma (Zexie in Chinese, ZX) contributed to...