Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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A deep learning system for detecting diabetic retinopathy across the disease spectrum.

Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To fa...

Tinnitus Frequency is Higher in Patients with Chronic Heart Failure with Reduced Ejection Fraction and is Closely Related to NT-proBNP Level.

There is not enough information about tinnitus and related parameters in patients with heart failure...

Recent progress on the prospective application of machine learning to structure-based virtual screening.

As more bioactivity and protein structure data become available, scoring functions (SFs) using machi...

Predicting youth diabetes risk using NHANES data and machine learning.

Prediabetes and diabetes mellitus (preDM/DM) have become alarmingly prevalent among youth in recent ...

Artificial Intelligence for Screening Chinese Electronic Medical Record and Biobank Information.

To establish a structured and integrated platform of clinical data and biobank data, and a client t...

Data-driven approaches to advance research and clinical care for pediatric cancer.

Pediatric cancer is a rare disease with a distinct etiology and mutational landscape compared with a...

Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow.

BACKGROUND: Current text mining tools supporting abstract screening in systematic reviews are not wi...

Automated laryngeal mass detection algorithm for home-based self-screening test based on convolutional neural network.

BACKGROUND: Early detection of laryngeal masses without periodic visits to hospitals is essential fo...

Robot-assisted sleeve gastrectomy in patients with obesity with a novel Chinese domestic MicroHand SII surgical system.

BACKGROUND: A new device has been added to the Chinese MicroHand surgical robot family, developed ba...

Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology.

Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the...

Active Learning and the Potential of Neural Networks Accelerate Molecular Screening for the Design of a New Molecule Effective against SARS-CoV-2.

A global pandemic has emerged following the appearance of the new severe acute respiratory virus who...

Automated Generation of Novel Fragments Using Screening Data, a Dual SMILES Autoencoder, Transfer Learning and Syntax Correction.

Fragment-based hit identification (FBHI) allows proportionately greater coverage of chemical space u...

Fast screening of covariates in population models empowered by machine learning.

One of the objectives of Pharmacometry (PMX) population modeling is the identification of significan...

Development of a Wearable Camera and AI Algorithm for Medication Behavior Recognition.

As many as 40% to 50% of patients do not adhere to long-term medications for managing chronic condit...

Radiomics and deep learning methods in expanding the use of screening breast MRI.

• The use of screening breast MRI is expanding beyond high-risk women to include intermediate- and a...

AI based colorectal disease detection using real-time screening colonoscopy.

Colonoscopy is an effective tool for early screening of colorectal diseases. However, the applicatio...

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography.

Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general popula...

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis.

BACKGROUND: COVID-19 is one of the greatest threats to human beings in terms of health care, economy...

Examining the concept of equity in community psychology with natural language processing.

Large amounts of text-based data, like study abstracts, often go unanalyzed because the task is labo...

Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.

Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is crucial fo...

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