Domestic Violence

Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.

OBJECTIVES: To perform a systematic review of design and reporting of imaging studies applying convo...

Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept.

The 2019 novel coronavirus infectious disease (COVID-19) pandemic caused by severe acute respiratory...

Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening.

OBJECTIVE: Chronic kidney disease (CKD) is a major public health concern worldwide. High costs of la...

Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Drug designing and development is an important area of research for pharmaceutical companies and che...

A Novel Automated Screening Method for Combinatorially Generated Small Molecules.

A main challenge in the enumeration of small-molecule chemical spaces for drug design is to quickly ...

Screening of critical variables in fabricating polycaprolactone nanoparticles using Neuro Fuzzy Logic.

In this work, we used the artificial intelligence tool known as neurofuzzy logic (NFL) for fabricati...

Successful incorporation of single reviewer assessments during systematic review screening: development and validation of sensitivity and work-saved of an algorithm that considers exclusion criteria and count.

BACKGROUND: Accepted systematic review (SR) methodology requires citation screening by two reviewers...

Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews.

BACKGROUND: Systematic reviews and meta-analyses provide the highest level of evidence to help infor...

Two novel potent ACEI peptides isolated from meat hydrolysates using analysis: identification, screening and inhibitory mechanisms.

The aim of this study was to discover potent angiotensin-converting enzyme (ACE) inhibitory (ACEI) p...

Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia.

BACKGROUND AND OBJECTIVES: Diagnosis of Pulmonary Rifampicin Resistant Tuberculosis (RR-TB) with the...

"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware attention framework for relationship extraction.

With the increasing legalization of medical and recreational use of cannabis, more research is neede...

Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines.

Artificial intelligence (AI)-based applications have the potential to improve the quality and effici...

Host-dependent molecular factors mediating SARS-CoV-2 infection to gain clinical insights for developing effective targeted therapy.

Coronavirus disease 2019 (COVID-19), a recent viral pandemic that first began in December 2019, in H...

Image processing and machine learning for telehealth craniosynostosis screening in newborns.

OBJECTIVE: The authors sought to evaluate the accuracy of a novel telehealth-compatible diagnostic s...

Using deep learning and natural language processing models to detect child physical abuse.

BACKGROUND: The recognition of child physical abuse can be challenging and often requires a multidis...

Establishing a Robot-Assisted Kidney Transplant Program: Independent Evaluation of the Learning Curve and Surgical Nuances.

Robot-assisted kidney transplantation (RAKT) is a technically challenging procedure and there has b...

Silver nanoparticle on zinc oxide array for label-free detection of opioids through surface-enhanced raman spectroscopy.

Opioid abuse is a significant public health problem. Over two million Americans have some form of ad...

Artificial intelligence for the real world of breast screening.

Breast cancer screening with mammography reduces mortality in the women who attend by detecting high...

Assessment of breast positioning criteria in mammographic screening: Agreement between artificial intelligence software and radiographers.

OBJECTIVES: To determine the agreement between artificial intelligence software (AI) and radiographe...

Screening participants' attitudes to the introduction of artificial intelligence in breast screening.

Screening of a novel free fatty acid receptor 1 (FFAR1) agonist peptide by phage display and machine learning based-amino acid substitution.

Free fatty acid receptor 1 (FFAR1 or GPR40) has attracted attention for the treatment of type 2 diab...