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Validation of a Natural Language Machine Learning Model for Safety Literature Surveillance.

INTRODUCTION: As part of routine safety surveillance, thousands of articles of potential interest ar...

Cholesterol Levels, Hormone Replacement Therapy, and Incident Dementia among Older Adult Women.

Previous studies revealed that hormone replacement therapy (HRT) probably has a protective effect fo...

Before-after safety evaluation of part-time protected right-turn signals: An extreme value theory approach by applying artificial intelligence-based video analytics.

Extreme value theory models have opened doors for before-after safety evaluation of engineering trea...

Polygenic modelling and machine learning approaches in pharmacogenomics: Importance in downstream analysis of genome-wide association study data.

Genome-wide association studies (GWAS) have identified genetic variations associated with adverse dr...

Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data.

Artificial neural networks show promising performance in detecting correlations within data that are...

Multi-omics integration strategy in the post-mortem interval of forensic science.

Estimates of post-mortem interval (PMI), which often serve as pivotal evidence in forensic contexts,...

The Effect of Using a Rehabilitation Robot for Patients with Post-Coronavirus Disease (COVID-19) Fatigue Syndrome.

The aim of this study was to compare the effectiveness of traditional neurological rehabilitation an...

Comparison of post reconstruction- and reconstruction-based deep learning denoising methods in cardiac SPECT.

. The quality of myocardial perfusion SPECT (MPS) images is often hampered by low count statistics. ...

Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework.

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance ...

Will artificial intelligence chatbots replace clinical pharmacologists? An exploratory study in clinical practice.

PURPOSE: Recently, there has been a growing interest in using ChatGPT for various applications in Me...

Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network.

Deep-learning-based QRS-detection algorithms often require essential post-processing to refine the o...

Initial Testing of Robotic Exoskeleton Hand Device for Stroke Rehabilitation.

The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for th...

Will the future of pharmacovigilance be more automated?

INTRODUCTION: Artificial intelligence (AI) based tools offer new opportunities for pharmacovigilance...

Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities.

Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mec...

Implementation of totally robotic right hemicolectomy: lessons learned from a prospective cohort.

Robotics facilitates the realization of intra-corporeal anastomosis during right hemicolectomy and a...

Harnessing artificial intelligence in the post-COVID-19 era: A global health imperative.

Despite the World Health Organization's declaration that the COVID-19 global emergency has ended, th...

Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques.

INTRODUCTION: Concerns have been raised over the quality of drug safety information, particularly da...

Future of ChatGPT in Pharmacovigilance.

Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning.

BACKGROUND: The aim of this research was to asses perfusion-defect detection-accuracy by human obser...

Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge.

In this work, we describe the findings of the 'WisPerMed' team from their participation in Track 1 (...

PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning.

Event temporal relation extraction is an important task for information extraction. The existing met...