AIMC Topic: Pandemics
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Reinforcement learning for healthcare operations management: methodological framework, recent developments, and future research directions.
Health care management science
Jun 1, 2025
With the advancement in computing power and data science techniques, reinforcement learning (RL) has emerged as a powerful tool for decision-making problems in complex systems. In recent years, the research on RL for healthcare operations has grown r...
On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook.
IEEE journal of biomedical and health informatics
Jun 1, 2025
Computational approaches to predicting mental health conditions in social media have been substantially explored in the past years. Multiple reviews have been published on this topic, providing the community with comprehensive accounts of the researc...
Drug repurposing targeting COVID-19 3CL protease using molecular docking and machine learning regression approaches.
Scientific reports
May 28, 2025
The COVID-19 pandemic has initiated a global health emergency, with an exigent need for an effective cure. Progressively, drug repurposing is emerging as a promising solution for saving time, cost, and labor. However, the number of drug candidates th...
Prospective study using artificial neural networks for identification of high-risk COVID-19 patients.
Scientific reports
May 23, 2025
The COVID-19 pandemic caused a major public health crisis, with severe impacts on global health and the economy. Machine learning (ML) has been crucial in developing new technologies to address challenges posed by the pandemic, particularly in identi...
Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models.
Journal of medical Internet research
May 21, 2025
BACKGROUND: During the COVID-19 pandemic, the continuous spread of misinformation on the internet posed an ongoing threat to public trust and understanding of epidemic prevention policies. Although the pandemic is now under control, information regar...
FLANDERS: Fast Learning COVID-19 Care System.
Studies in health technology and informatics
May 15, 2025
The COVID-19 pandemic highlighted the complexities of diagnosing and managing acute Respiratory Failure (RF). Early prediction of RF remains a key challenge, with no established tools currently available. This study developed a machine learning model...
Pros, Cons and Limits of AI in Public Health.
Studies in health technology and informatics
May 15, 2025
This paper explores the role of Artificial Intelligence (AI) in Public Health (PH), examining its benefits, challenges, and ethical considerations. AI has become an essential tool in healthcare, improving diagnosis, treatment, and health system manag...
Nursing Faculty and Students' Satisfaction With Telepresence Robots During the COVID-19 Pandemic.
Nurse educator
May 13, 2025
BACKGROUND: Telepresence robots provide real-time audio, video, and mobility features, allowing faculty and students to engage in learning experiences without being physically present.
[Chest radiological lesions in COVID-19 : from classical imaging to artificial intelligence].
Revue medicale de Liege
May 13, 2025
In the course of the pandemic induced by the appearance of a new coronavirus (SARS-CoV-2; COVID-19) causing acute respiratory distress syndrome (ARDS), we had to rethink the diagnostic approach for patients suffering from respiratory symptoms. Indeed...
Food Access in New York City During the COVID-19 Pandemic: Social Media Monitoring Study.
JMIR formative research
May 9, 2025
BACKGROUND: The COVID-19 pandemic exacerbated issues of poverty and food insecurity in New York City, and many residents experienced difficulty accessing available resources to help them get food on the table. Social media presents an opportunity to ...
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