Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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Sex differences in bladder cancer: understanding biological and clinical implications.

Bladder cancer (BC) remains a significant global health concern, with substantial sex and racial dis...

May 2025 40361239
An Interpretable AI for Smart Homes: Identifying Fall Prevention Strategies for Older Adults Using Multimodal Deep Learning.

Falls are a significant cause of mortality among older adults and are considered preventable emergen...

May 2025 40366850
Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review.

COVID-19 was one of the most serious global public health emergencies in recent years, and its extre...

May 2025 40428133
Dual level dengue diagnosis using lightweight multilayer perceptron with XAI in fog computing environment and rule based inference.

Over the last fifty years, arboviral infections have made an unparalleled contribution to worldwide ...

May 2025 40360639
OB HUB: Remote Electronic Fetal Monitoring Surveillance.

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

May 2025 36729894
Few-shot Semantic Encoding and Decoding for Video Surveillance

With the continuous increase in the number and resolution of video surveillance cameras, the burde...

Evaluating Machine Learning Models for Predicting Late Leprosy Diagnosis by Physical Disability Grade in Brazil (2018-2022).

The severity of physical disability at leprosy diagnosis reflects the timeliness of case detection a...

May 2025 40423361
A deep learning and molecular modeling approach to repurposing Cangrelor as a potential inhibitor of Nipah virus.

Deforestation, urbanization, and climate change have significantly increased the risk of zoonotic di...

May 2025 40355437
Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan.

BACKGROUND: Stigma associated with HIV/AIDS continues to be a major barrier to prevention, managemen...

May 2025 40354646
Fusogenic Lipid Nanovesicles as Multifunctional Immunomodulatory Platforms for Precision Solid Tumor Therapy.

Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical e...

May 2025 40351077
Evaluating Reasoning LLMs for Suicide Screening with the Columbia-Suicide Severity Rating Scale

Suicide prevention remains a critical public health challenge. While online platforms such as Redd...

The promise and perils of AI in medicine

What does Artificial Intelligence (AI) have to contribute to health care? And what should we be lo...

[Progress in method development and application of distributed learning for estimation of epidemiological effect].

To systematically review the progress in the method development and application of distributed lear...

May 2025 40494800
[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...

May 2025 40494802
Traffic-related air pollution backcasting using convolutional neural network and long short-term memory approach.

Air pollution backcasting, especially nitrogen dioxide (NO), is crucial in epidemiological studies, ...

May 2025 40187087
Exploring the potential biomarkers and potential causality of Ménière disease based on bioinformatics and machine learning.

Meniere disease (MD) is a common inner ear disorder closely related to immune abnormalities, but res...

May 2025 40355226
Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients.

BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly populatio...

May 2025 40346469
Current updates in the epidemiology and comorbidities of atopic dermatitis.

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

May 2025 40350074
Development and Validation of Machine Learning Algorithms for Predicting Prolonged Postoperative Opioid Use in Spinal Metastatic Disease.

Introduction: Operative management of spinal metastatic disease is largely for symptom palliation an...

May 2025 40340556
Dynamic Network Flow Optimization for Task Scheduling in PTZ Camera Surveillance Systems

This paper presents a novel approach for optimizing the scheduling and control of Pan-Tilt-Zoom (P...

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