Hospital-Based Medicine

Surveillance

Latest AI and machine learning research in surveillance for healthcare professionals.

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Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.

Integrating Artificial Intelligence (AI) through Natural Language Processing (NLP) can improve veter...

AI in Dental Radiology-Improving the Efficiency of Reporting With ChatGPT: Comparative Study.

BACKGROUND: Structured and standardized documentation is critical for accurately recording diagnosti...

Clade Ib: a new emerging threat in the Mpox outbreak.

Monkeypox, a zoonotic virus in the , has drawn global attention for its impact on public health. In ...

Revolutionizing market surveillance: customer relationship management with machine learning.

In the telecommunications industry, predicting customer churn is essential for retaining clients and...

Human activity recognition utilizing optimized attention induced Multihead Convolutional Neural Network with Mobile Net V1 from Mobile health data.

Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainl...

Policy brief: Improving national vaccination decision-making through data.

Life course immunisation looks at the broad value of vaccination across multiple generations, callin...

TransformerLSR: Attentive joint model of longitudinal data, survival, and recurrent events with concurrent latent structure.

In applications such as biomedical studies, epidemiology, and social sciences, recurrent events ofte...

Mandatory surveillance of bacteremia conducted by automated monitoring.

Except for a few countries, comprehensive all-cause surveillance for bacteremia is not part of manda...

Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies.

Mosquito-related diseases pose a significant threat to global public health, necessitating efficient...

Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning.

Timely and accurately estimating rice yields is crucial for supporting food security management, agr...

Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.

Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze,...

The use of artificial intelligence for automatic analysis and reporting of software defects.

The COVID-19 pandemic marked a before and after in the business world, causing a growing demand for ...

QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.

Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (...

RADHawk-an AI-based knowledge recommender to support precision education, improve reporting productivity, and reduce cognitive load.

BACKGROUND: Using artificial intelligence (AI) to augment knowledge is key to establishing precision...

AI-enabled clinical decision support tools for mental healthcare: A product review.

The review seeks to promote transparency in the availability of regulated AI-enabled Clinical Decisi...

Integrating Sentinel-1 data and machine learning for effective paddy field monitoring in Cauvery Delta Zone, Tamil Nadu, India.

Paddy crop mapping is essential for agricultural monitoring, ensuring food security, and enhancing r...

Integrating graph and reinforcement learning for vaccination strategies in complex networks.

Pandemics like COVID-19 have a huge impact on human society and the global economy. Vaccines are eff...

Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP study.

BACKGROUND AND OBJECTIVES: Deep learning (DL) algorithms demonstrate excellent diagnostic performanc...

UrologiQ: AI-based accurate detection, measurement and reporting of stones in CT-KUB scans.

Kidney stone disease is becoming increasingly common worldwide, with its prevalence increasing annua...

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