Hospital-Based Medicine

Surveillance

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

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Breast Arterial Calcifications on Mammography: A Review of the Literature.

Identifying systemic disease with medical imaging studies may improve population health outcomes. Al...

Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study.

BACKGROUND: Stage IV pancreatic cancer (PC) has a poor prognosis and lacks individualized prognostic...

GCN-Transformer: Graph Convolutional Network and Transformer for Multi-Person Pose Forecasting Using Sensor-Based Motion Data.

Multi-person pose forecasting involves predicting the future body poses of multiple individuals over...

Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early...

Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.

Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive pr...

What to Report? A Systematic Review of Medical AI Reporting Guidelines: Preliminary Results.

We present preliminary results of a systematic review of reporting guidelines for nine papers from c...

Formative Usability Testing of Artificial Intelligence in Pathology: The Challenge of Assessing Acceptability.

Digital Pathology has provided a platform to use Artificial Intelligence (AI) to assist pathologists...

Personalized surveillance in colorectal cancer: Integrating circulating tumor DNA and artificial intelligence into post-treatment follow-up.

Given the growing burden of colorectal cancer (CRC) as a global health challenge, it becomes imperat...

Prediction of Glomerular Filtration Rate Following Partial Nephrectomy for Localized Renal Cell Carcinoma with Different Machine Learning Techniques.

: Partial nephrectomy (PN) is the preferred option for treating localized cT1 renal cell carcinoma (...

Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement.

OBJECTIVES: Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of...

An open paradigm dataset for intelligent monitoring of underground drilling operations in coal mines.

The underground drilling environment in coal mines is critical and prone to accidents, with common a...

OB HUB: Remote Electronic Fetal Monitoring Surveillance.

OBJECTIVE: The purpose of this project was to implement a remote fetal surveillance unit with increa...

An Anomaly Node Detection Method for Wireless Sensor Networks Based on Deep Metric Learning with Fusion of Spatial-Temporal Features.

Wireless sensor networks (WSNs) use distributed nodes for tasks such as environmental monitoring and...

[Surveillance for pneumonia of unknown etiology: current status, challenges, and implementation ways].

The prevention and control of emerging and reemerging infectious diseases are crucial for national b...

Antimicrobial Susceptibility Profiles of Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023.

: Antimicrobial resistance (AMR) poses a growing threat to veterinary medicine and food safety. This...

Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistibl...

Current updates in the epidemiology and comorbidities of atopic dermatitis.

Atopic dermatitis (AD) is a chronic, inflammatory skin disorder that affects individuals across the ...

Development of an Assistance Robot for Fall Detection and Reporting in Healthcare.

Falls pose a substantial risk to elderly individuals, especially those over 65, often leading to sev...

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