Surveillance

Current Scenario and Future Prospects of Adverse Drug Reactions (ADRs) Monitoring and Reporting Mechanisms in the Rural Areas of India.

Pharmacovigilance (PV) deals with the detection, collection, assessment, understanding, and preventi...

Advanced Machine Learning Models for Predicting Post-Thrombolysis Hemorrhagic Transformation in Acute Ischemic Stroke Patients: A Systematic Review and Meta-Analysis.

Thrombolytic therapy is essential for acute ischemic stroke (AIS) management but poses a risk of he...

Snippets of the History of the American Journal of Epidemiology.

In this article, I present a brief summary of landmark events in the American Journal of Epidemiolog...

Efficacy of Pulse Methylprednisolone in Treatment of Acute Respiratory Distress Syndrome due to Malaria: A Randomized Controlled Clinical Trial.

: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associate...

Radiologist's Guide to Evaluating Publications of Clinical Research on AI: How We Do It.

Literacy in research studies of artificial intelligence (AI) has become an important skill for radio...

SEINN: A deep learning algorithm for the stochastic epidemic model.

Stochastic modeling predicts various outcomes from stochasticity in the data, parameters and dynamic...

Practical considerations for specifying a super learner.

Common tasks encountered in epidemiology, including disease incidence estimation and causal inferenc...

Co-evolution of epidemiology and artificial intelligence: challenges and opportunities.

Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry).

US Quantification of Liver Fat: Past, Present, and Future.

Fatty liver disease has a high and increasing prevalence worldwide, is associated with adverse cardi...

Scoping Review: Legal and Ethical Principles of Artificial Intelligence in Public Health.

The growing accessibility of large health datasets and AI's ability to analyze them offers significa...

Deep learning-based detection of diabetic macular edema using optical coherence tomography and fundus images: A meta-analysis.

Diabetic macular edema (DME) is an important cause of visual impairment in the working-age group. De...

Applications of machine learning in animal and veterinary public health surveillance.

Machine learning (ML) is an approach to artificial intelligence characterised by the use of algorith...

Personal Data for Public Benefit: The Regulatory Determinants of Social Licence for Technologically Enhanced Antimicrobial Resistance Surveillance.

Technologically enhanced surveillance systems have been proposed for the task of monitoring and resp...

DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology.

DECIDE-AI is a new, stage-specific reporting guideline for the early and live clinical evaluation of...

[Applications of digital medical techniques for dental dysplasia].

Dental dysplasia are abnormalities in teeth structure, morphology, number and eruption caused by gen...

Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre.

Radiology reporting is narrative, and its content depends on the clinician's ability to interpret th...

A novel method for conformity assessment testing of electrocardiographs for post-market surveillance purposes.

BACKGROUND: Monitoring cardiac parameters is the fundamental aspect of every diagnostic process and ...

A novel method for conformity assessment testing of infant incubators for post-market surveillance purposes.

BACKGROUND: Premature born infants or infants born sick require immediate medical attention and decr...

[Literacy for Appropriate Use of Medical Big Data and Artificial Intelligence].

Recent developments have enabled daily accumulated medical information to be converted into medical ...

[Application and development of voice analysis and endoscopic technology combined with artificial intelligence in the diagnosis and treatment of throat disease].

In the diagnosis and treatment of throat disease, the application and development of combining voice...