Latest AI and machine learning research in primary care for healthcare professionals.
Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To facilitate the screening process, we develop a deep learning system, named DeepDR, that can detect early-to-late stages of diabetic retinopathy. DeepDR is trained for real-time image quality assessment, lesion detection and grading using 466,247 fundus images from 121,342 patients with diabetes. Evalu...
There is not enough information about tinnitus and related parameters in patients with heart failure with reduced ejection fraction (HFrEF). In our study, we aimed to investigate the frequency of tinnitus in HFrEF patients and the clinical parameters associated with this condition. This study included 100 patients with HFrEF and whose medical treatment was arranged according to their disease stage...
Prediabetes and diabetes mellitus (preDM/DM) have become alarmingly prevalent among youth in recent years. However, simple questionnaire-based screeni...
To establish a structured and integrated platform of clinical data and biobank data, and a client to retrieve these data. Initially, the hospital in...
Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organ...
BACKGROUND: A new device has been added to the Chinese MicroHand surgical robot family, developed based on the successful application of control algor...
De-oiled rice bran (DORB) is a potentially useful by-product of the rice bran oil industry. DORB may prove to be an important protein source, and also...
Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type...
As many as 40% to 50% of patients do not adhere to long-term medications for managing chronic conditions, such as diabetes or hypertension. Limited op...
Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung...
BACKGROUND: COVID-19 is one of the greatest threats to human beings in terms of health care, economy, and society in recent history. Up to this moment...
Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is crucial for optimizing management in lung cancer screening. ...
Large amounts of text-based data, like study abstracts, often go unanalyzed because the task is laborious. Natural language processing (NLP) uses comp...
Over the past fifty years, neonatal screening has become essential in the public health programs of a large number of countries. During all these year...
HL7 Fast Healthcare Interoperability Resources (FHIR) is one of the current data standards for enabling electronic healthcare information exchange. Pr...
Lack of standardized representation of natural language processing (NLP) components in phenotyping algorithms hinders portability of the phenotyping a...
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year survival rate of high-grade glioma is poor. Magnetic resonance im...
No comprehensive review of Bayesian networks (BNs) in healthcare has been published in the past, making it difficult to organize the research contribu...
The prevalence of prediabetes is rapidly increasing, and this can lead to an increased risk for individuals to develop type 2 diabetes and associated ...
Accurate segmentation and partitioning of lesions in PET images provide computer-aided procedures and doctors with parameters for tumour diagnosis, st...