Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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The efficacy of topological properties of functional brain networks in identifying major depressive disorder.

Major Depressive Disorder (MDD) is a common mental disorder characterized by cognitive impairment, a...

Detecting irregularities in randomized controlled trials using machine learning.

BACKGROUND: Over the course of a clinical trial, irregularities may arise in the data. Trialists imp...

AI: Promise or Peril for Patient Safety.

Patient safety advocates identify concerns for the impact of AI on patient safety. Patients identifi...

Gender disparities in rural motorcycle accidents: A neural network analysis of travel behavior impact.

Rural road accidents involving motorcycle riders present a formidable challenge to road safety globa...

Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study.

OBJECTIVE: Behavioral interventions have been shown to ameliorate the electroencephalogram (EEG) dyn...

I-SIRch: AI-powered concept annotation tool for equitable extraction and analysis of safety insights from maternity investigations.

BACKGROUND: Maternity care is a complex system involving treatments and interactions between patient...

Antimicrobial efficacy of an experimental UV-C robot in controlled conditions and in a real hospital scenario.

BACKGROUND: Among no-touch automated disinfection devices, ultraviolet-C (UV-C) radiation has been p...

Decision-making of autonomous vehicles in interactions with jaywalkers: A risk-aware deep reinforcement learning approach.

Jaywalking, as a hazardous crossing behavior, leaves little time for drivers to anticipate and respo...

Foot fractures diagnosis using a deep convolutional neural network optimized by extreme learning machine and enhanced snow ablation optimizer.

The current investigation proposes a novel hybrid methodology for the diagnosis of the foot fracture...

Comparative efficacy of anteroposterior and lateral X-ray based deep learning in the detection of osteoporotic vertebral compression fracture.

Magnetic resonance imaging remains the gold standard for diagnosing osteoporotic vertebral compressi...

Machine learning identifies immune-based biomarkers that predict efficacy of anti-angiogenesis-based therapies in advanced lung cancer.

BACKGROUND: The anti-angiogenic drugs showed remarkable efficacy in the treatment of lung cancer. No...

Optimizing automated compliance checking with ontology-enhanced natural language processing: Case in the fire safety domain.

The fire safety compliance checking (FSCC) plays a crucial role in ensuring the quality of fire engi...

A Systematic Review and Meta-Analysis of the Efficacy of Biosecurity in Disease Prevention and Control in Livestock Farms in Africa.

In Africa, livestock production plays a crucial role for sustainable food security and economic grow...

Recommendations for the Development of Artificial Intelligence Applications for the Retail Level.

Some of the early applications of artificial intelligence (AI) for food safety appear to be intended...

SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer.

Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlight...

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