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Subcategories: Devices and Vaccines Prescriptions

Showing 400-420 of 8,934 articles

Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets.

OBJECTIVE: The primary objective of this review is to investigate the effectiveness of machine learn...

Mar 2024 PMID: 38447600

Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistula.

Postoperative pancreatic fistula is a life-threatening complication with an unmet need for accurate ...

Mar 2024 PMID: 38429308

Exploring the Use of Socially Assistive Robots Among Socially Isolated Korean American Older Adults.

This pilot study explored whether a socially assistive robot (SAR) would have positive effects on Ko...

Feb 2024 PMID: 38410030

A cognitive deep learning approach for medical image processing.

In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a critical yet...

Feb 2024 PMID: 38402321

Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT: deep learning algorithm developed using dual-energy CT images.

A novel 3D nnU-Net-based of algorithm was developed for fully-automated multi-organ segmentation in ...

Feb 2024 PMID: 38388824

Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjects.

The application of machine learning in the field of motion capture research is growing rapidly. The ...

Feb 2024 PMID: 38328932

An artificial intelligence algorithm for co-clustering to help in pharmacovigilance before and during the COVID-19 pandemic.

AIMS: Monitoring drug safety in real-world settings is the primary aim of pharmacovigilance. Frequen...

Feb 2024 PMID: 38332645

Extracting adverse drug events from clinical Notes: A systematic review of approaches used.

BACKGROUND: An adverse drug event (ADE) is any unfavorable effect that occurs due to the use of a dr...

Feb 2024 PMID: 38331081

Detection method of organic light-emitting diodes based on small sample deep learning.

In order to solve the surface detection problems of low accuracy, low precision and inability to aut...

Feb 2024 PMID: 38315697

Validating the accuracy of deep learning for the diagnosis of pneumonia on chest x-ray against a robust multimodal reference diagnosis: a post hoc analysis of two prospective studies.

BACKGROUND: Artificial intelligence (AI) seems promising in diagnosing pneumonia on chest x-rays (CX...

Feb 2024 PMID: 38302850

Two is better than one: longitudinal detection and volumetric evaluation of brain metastases after Stereotactic Radiosurgery with a deep learning pipeline.

PURPOSE: Close MRI surveillance of patients with brain metastases following Stereotactic Radiosurger...

Feb 2024 PMID: 38300389

A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study.

OBJECTIVE: This study aimed to predict fatigue 18 months post-stroke by utilizing comprehensive data...

Jan 2024 PMID: 38242298

Incidence and risk factors of inguinal hernia after robot-assisted radical prostatectomy: a retrospective multicenter cohort study in Japan (the MSUG94 group).

To investigate the incidence and risk factors of inguinal hernia (IH) after robot-assisted radical p...

Jan 2024 PMID: 38231428

Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models.

BACKGROUND: Identifying co-occurring mental disorders and elevated risk is vital for optimization of...

Jan 2024 PMID: 38217979

Assessing risk factors associated with breakthrough early post-traumatic seizures in patients receiving phenytoin prophylaxis.

OBJECTIVE: Post-traumatic seizure (PTS) is a well-known complication of traumatic brain injury (TBI)...

Jan 2024 PMID: 38239322

Investigating the bispecific lead compounds against methicillin-resistant SarA and CrtM using machine learning and molecular dynamics approach.

Methicillin-resistant Staphylococcus aureus (MRSA) is a notorious pathogen that has emerged as a ser...

Dec 2023 PMID: 38147401

Browse Specialties

Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets.

Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistula.

Exploring the Use of Socially Assistive Robots Among Socially Isolated Korean American Older Adults.

A cognitive deep learning approach for medical image processing.

Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT: deep learning algorithm developed using dual-energy CT images.

Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjects.

An artificial intelligence algorithm for co-clustering to help in pharmacovigilance before and during the COVID-19 pandemic.

Extracting adverse drug events from clinical Notes: A systematic review of approaches used.

Detection method of organic light-emitting diodes based on small sample deep learning.

Validating the accuracy of deep learning for the diagnosis of pneumonia on chest x-ray against a robust multimodal reference diagnosis: a post hoc analysis of two prospective studies.

Two is better than one: longitudinal detection and volumetric evaluation of brain metastases after Stereotactic Radiosurgery with a deep learning pipeline.

A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study.

Incidence and risk factors of inguinal hernia after robot-assisted radical prostatectomy: a retrospective multicenter cohort study in Japan (the MSUG94 group).

Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models.

Assessing risk factors associated with breakthrough early post-traumatic seizures in patients receiving phenytoin prophylaxis.

Phytochemical and biological studies of aerial parts ethanol extract supported by molecular docking study.

BKPyV DNAemia in Kidney Transplant Recipients Undergoing Regular Screening: A Single-Centre Cohort Study.

Is There Any Effect of Change in Pre-Wash and Post-Wash Semen Parameters on the Success of Intrauterine Insemination?

The bladder neck preservation in robot assisted radical prostatectomy: Surgical and pathological outcome.

Understanding the Complexities of Cast Post Retention: A Comprehensive Review of Influential Factors.

Investigating the bispecific lead compounds against methicillin-resistant SarA and CrtM using machine learning and molecular dynamics approach.

Browse Specialties