Domestic Violence

A Machine Learning-Based Predictive Model to Identify Patients Who Failed to Attend a Follow-up Visit for Diabetes Care After Recommendations From a National Screening Program.

OBJECTIVE: Reportedly, two-thirds of the patients who were positive for diabetes during screening fa...

Parkland Trauma Index of Mortality: Real-Time Predictive Model for Trauma Patients.

OBJECTIVE: Vital signs and laboratory values are used to guide decisions to use damage control techn...

D3AI-CoV: a deep learning platform for predicting drug targets and for virtual screening against COVID-19.

Target prediction and virtual screening are two powerful tools of computer-aided drug design. Target...

Systematic TB screening using WHO radiograph categorisation and care outcomes.

An appropriate screening approach and quality care are crucial for TB programmes in prisons. This s...

A machine learning-based screening tool for genetic syndromes in children - Authors' reply.

A machine learning-based screening tool for genetic syndromes in children.

Commentary: Artificial intelligence-based screening of retina.

Assessing the Value of Artificial Intelligence in Retinopathy of Prematurity Screening-Be Specific With Regard to the Data.

Mass Deployment of Deep Neural Network: Real-Time Proof of Concept With Screening of Intracranial Hemorrhage Using an Open Data Set.

BACKGROUND: Intracranial hemorrhage (ICH) is considered an emergency that requires rapid medical or ...

Artificial Intelligence for Computer Vision in Surgery: A Call for Developing Reporting Guidelines.

Systematic Review and Meta-Analysis of Pediatric Robot-Assisted Laparoscopic Pyeloplasty.

To perform a systematic review (SR) and meta-analysis (MA) of outcomes of robot-assisted laparoscop...

Potential for Process Improvement of Clinical Flow Cytometry by Incorporating Real-Time Automated Screening of Data to Expedite Addition of Antibody Panels.

OBJECTIVES: We desired an automated approach to expedite ordering additional antibody panels in our ...

Road traffic accident trauma: A model for road safety management utilizing the artificial intelligence with geo-mapping and geospatial data in Pakistan.

Developing Specific Reporting Standards in Artificial Intelligence Centred Research.

Use of real-time artificial intelligence in detection of abnormal image patterns in standard sonographic reference planes in screening for fetal intracranial malformations.

OBJECTIVES: To develop and validate an artificial intelligence system, the Prenatal ultrasound diagn...

The derivation of an International Classification of Diseases, Tenth Revision-based trauma-related mortality model using machine learning.

BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following ...

Research Highlight: Artificial Intelligence for Ruling Out Negative Examinations in Screening Breast MRI.

DD-GUI: a graphical user interface for deep learning-accelerated virtual screening of large chemical libraries (Deep Docking).

SUMMARY: Deep learning (DL) can significantly accelerate virtual screening of ultra-large chemical l...

Contribution of Artificial Intelligence in Pregnancy: A Scoping Review.

For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial Intel...

DLAB: deep learning methods for structure-based virtual screening of antibodies.

MOTIVATION: Antibodies are one of the most important classes of pharmaceuticals, with over 80 approv...

Identification of colorectal cancer using structured and free text clinical data.

Colorectal cancer incidence has continually fallen among those 50 years old and over. However, the i...