AIMC Topic: Forecasting

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Dual-stream interactive networks with pearson-mask awareness for multivariate time series forecasting.

Neural networks : the official journal of the International Neural Network Society
Multivariate time series forecasting (MTSF) aims to predict time series data containing multiple variates, which requires the consideration of both intra-series temporal trends and inter-series interactions. Benefiting from the success of Transformer...

The butterfly effect in neural networks: Unveiling hyperbolic chaos through parameter sensitivity.

Neural networks : the official journal of the International Neural Network Society
Neural networks often excel in short-horizon tasks, but their long-term reliability is less assured. We demonstrate that even a minimal architecture, trained on near-periodic data, can exhibit hyperbolic chaotic behavior after a small parameter pertu...

A Framework for Evaluating the Use of Surveillance Systems for Short-Term Influenza Forecasting.

Influenza and other respiratory viruses
BACKGROUND: Public health surveillance systems need to monitor influenza activity and guide measures to mitigate its high impact on morbidity, mortality and healthcare systems. There is an increasing expectation that surveillance data will support th...

[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a transformation from simple rule-based systems to complex, data-driven approaches. Early applications focused on decision support, while innovative system...

[AI-enabled clinical decision support systems: challenges and opportunities].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Clinical decision-making is inherently complex, time-sensitive, and prone to error. AI-enabled clinical decision support systems (CDSS) offer promising solutions by leveraging large datasets to provide evidence-based recommendations. These systems ra...

[Practical artificial intelligence for urology : Technical principles, current application and future implementation of AI in practice].

Urologie (Heidelberg, Germany)
Artificial intelligence (AI) is a disruptive technology that is currently finding widespread application after having long been confined to the domain of specialists. In urology, in particular, new fields of application are continuously emerging, whi...

2025 Southeastern Surgical Congress Presidential Address: Leadership and Innovation in Surgery: A Vision for the Future.

The American surgeon
Surgeons have always been at the forefront of transformative change in medicine-driven by a unique blend of technical expertise, decisiveness, and visionary leadership. The current article explores the evolving role of the surgeon as not only a pract...

Air quality monitoring and mitigation through time series forecasting and stochastic optimization.

Journal of environmental management
Poor air quality poses significant threats to public health and environmental sustainability. To mitigate such risks, accurate air quality prediction is essential to inform intervention policies that effectively reduce pollutant levels. While past re...

Multivariate multi-horizon time-series forecasting for real-time patient monitoring based on cascaded fine tuning of attention-based models.

Computers in biology and medicine
The real-time forecasting of critical physiological indicators in intensive care units (ICUs) is essential for early intervention and clinical decision support. This study introduces a novel framework, StreamHealth Multi-Horizon AI, which has been de...

[Taking digital healthcare to the next level: what practices and clinics need for digitalization!].

Urologie (Heidelberg, Germany)
BACKGROUND: Digitalization in urology is bringing about profound changes. While artificial intelligence (AI)-supported diagnoses, telemedical consultations and electronic patient files offer promising advances, challenges remain in the areas of techn...