Primary Care

Multinomial classification of NLRP3 inhibitory compounds based on large scale machine learning approaches.

The role of NLRP3 inflammasome in innate immunity is newly recognized. The NLRP3 protein is a family...

New Robotic Platforms in General Surgery: What's the Current Clinical Scenario?

: Robotic surgery has been widely adopted in general surgery worldwide but access to this technology...

Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs.

Deep learning (DL) models can harness electronic health records (EHRs) to predict diseases and extra...

Types, functions and mechanisms of robot-assisted intervention for fall prevention: A systematic scoping review.

BACKGROUND: Any individual may experience accidental falls, particularly older adults. Although robo...

The Use of Machine Learning for Image Analysis Artificial Intelligence in Clinical Microbiology.

The growing transition to digital microbiology in clinical laboratories creates the opportunity to i...

High Throughput Read-Across for Screening a Large Inventory of Related Structures by Balancing Artificial Intelligence/Machine Learning and Human Knowledge.

Read-across is an in silico method applied in chemical risk assessment for data-poor chemicals. The ...

Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments.

BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includ...

Noninvasive genetic screening: current advances in artificial intelligence for embryo ploidy prediction.

This review discusses the use of artificial intelligence (AI) algorithms in noninvasive prediction o...

Utility of ChatGPT in Clinical Practice.

ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical pra...

Early Screening of Colorectal Precancerous Lesions Based on Combined Measurement of Multiple Serum Tumor Markers Using Artificial Neural Network Analysis.

Many patients with colorectal cancer (CRC) are diagnosed in the advanced stage, resulting in delayed...

Initial study on an expert system for spine diseases screening using inertial measurement unit.

In recent times, widely understood spine diseases have advanced to one of the most urgetn problems w...

Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity.

OBJECTIVE: a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT im...

Chapter 8: Risk Assessment: Considerations for Coronal Caries.

Caries risk assessment (CRA) is essential to delivering personalized/precision care in caries manage...

Discovery of a Novel DCAF1 Ligand Using a Drug-Target Interaction Prediction Model: Generalizing Machine Learning to New Drug Targets.

DCAF1 functions as a substrate recruitment subunit for the RING-type CRL4 and the HECT family EDVP E...

Artificial Intelligence Applied to a First Screening of Naevoid Melanoma: A New Use of Fast Random Forest Algorithm in Dermatopathology.

Malignant melanoma (MM) is the "great mime" of dermatopathology, and it can present such rare varian...

Automatic retinoblastoma screening and surveillance using deep learning.

BACKGROUND: Retinoblastoma is the most common intraocular malignancy in childhood. With the advanced...

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.

INTRODUCTION: Guidelines advise ongoing follow-up of patients after hypertensive disorders of pregna...

Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations.

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately...

Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records.

BACKGROUND: Conducting a systematic review demands a significant amount of effort in screening title...

Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs.

Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most exist...

The Potential for a Chat-Based Artificial Intelligence Model to Facilitate Educational Messaging on Hypertension.