Primary Care

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The impact of compound library size on the performance of scoring functions for structure-based virtual screening.

Larger training datasets have been shown to improve the accuracy of machine learning (ML)-based scor...

Improving structure-based virtual screening performance via learning from scoring function components.

Scoring functions (SFs) based on complex machine learning (ML) algorithms have gradually emerged as ...

Beware of the generic machine learning-based scoring functions in structure-based virtual screening.

Machine learning-based scoring functions (MLSFs) have attracted extensive attention recently and are...

Digital holographic deep learning of red blood cells for field-portable, rapid COVID-19 screening.

Rapid screening of red blood cells for active infection of COVID-19 is presented using a compact and...

[Intelligent fault diagnosis of medical equipment based on long short term memory network].

In order to solve the current problems in medical equipment maintenance, this study proposed an inte...

A Deep Learning Model for Screening Multiple Abnormal Findings in Ophthalmic Ultrasonography (With Video).

PURPOSE: The purpose of this study was to construct a deep learning system for rapidly and accuratel...

Deep learning in systems medicine.

Systems medicine (SM) has emerged as a powerful tool for studying the human body at the systems leve...

Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

This work aims to explore risk factors for ischemic stroke in young adults and analyze the Tradition...

Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.

CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester ...

[Screening biomarkers for hypertensive heart disease: Analysis based on data from 7 medical institutions].

To screen the influencing factors of hypertensive heart disease (HHD), establish the predictive mod...

[Postoperative Inguinal Hernia after Robot-Assisted Radical Prostatectomy with Prevention Technique Using Spermatic Cord Isolation].

We retrospectivelyevaluated postoperative inguinal hernias (PIHs) after robot-assisted radical prost...

Women's attitudes to the use of AI image readers: a case study from a national breast screening programme.

BACKGROUND: Researchers and developers are evaluating the use of mammogram readers that use artifici...

Artificial intelligence in precision medicine in hepatology.

The advancement of investigation tools and electronic health records (EHR) enables a paradigm shift ...

Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.

OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a result of i...

Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography.

Although heart failure with reduced ejection fraction (HFrEF) is a common clinical syndrome and can ...

Various machine learning approaches coupled with molecule simulation in the screening of natural compounds with xanthine oxidase inhibitory activity.

Gout is a common inflammatory arthritis associated with various comorbidities, such as cardiovascula...

The current role of robotics in bariatric surgery.

Significant improvements have been made in bariatric surgery for the past two decades. Thus, early a...

Application of artificial intelligence in gastroenterology: Potential role in clinical practice.

Artificial intelligence (AI) based on deep learning boosted medical research in the past years and i...

Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study.

BACKGROUND: Ocular changes are traditionally associated with only a few hepatobiliary diseases. Thes...

Deep neural networks identify signaling mechanisms of ErbB-family drug resistance from a continuous cell morphology space.

It is well known that the development of drug resistance in cancer cells can lead to changes in cell...

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