AIMC Topic: Forecasting

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Evaluation of Bio-Inspired Models under Different Learning Settings for Energy Efficiency in Network Traffic Prediction.

International journal of neural systems
Cellular traffic forecasting is a critical task that enables network operators to efficiently allocate resources and address anomalies in rapidly evolving environments. The exponential growth of data collected from base stations poses significant cha...

Ovarian Cancer Screening: Recommendations and Future Prospects.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Ovarian cancer remains a significant cause of mortality among women, largely due to challenges in early detection. Current screening strategies, including transvaginal ultrasound and CA125 testing, have limited sensitivity and specificity, particular...

Anaesthesia in 2050: how emerging technologies will transform our practice: The Sir Robert Macintosh Lecture 2025.

European journal of anaesthesiology
In the next 25 years, we will see unprecedented technological progress due to the artificial intelligence (AI) revolution. AI-driven advances will be made in five strongly interconnected domains: reenergised drug discovery, continuous real-time monit...

[Digital health: a green future for healthcare?].

Urologie (Heidelberg, Germany)
The healthcare sector is doubly affected by the climate crisis. On the one hand, the number of disease and injury cases will increase due to various effects such as heatwaves or natural disasters, further burdening the healthcare system. On the other...

[Digital urology : Possible uses for artificial intelligence and digital health applications].

Urologie (Heidelberg, Germany)
BACKGROUND: Urology presents itself as a modern and future-oriented discipline. Artificial intelligence (AI) is becoming increasingly important in the field of digital urology. It enables the analysis of large medical data sets, such as histological ...

Scenario-Based Forecasting of ChatGPT's Role as a Research Assistant in Nursing by 2030.

International nursing review
AIM: To explore the future role of ChatGPT in nursing research by 2030 and provide a strategic framework for its responsible integration, addressing key opportunities and challenges.

Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: In lung radiotherapy, infrared cameras can track reflective objects on the chest to estimate tumor motion due to breathing. However, treatment system latencies hinder radiation beam precision. Real-time recurrent learning (R...

From the World Wide Web to AI: Why We Must Learn From Our Past to Transform the Future of Medical Education.

Academic medicine : journal of the Association of American Medical Colleges
In 1989, the World Wide Web was proposed as a practical solution to connect scientists globally. That innovation later transformed how knowledge was accessed and shared across all sectors, including health care and education. While initially met with...

Algal bloom forecasting leveraging signal processing: A novel perspective from ensemble learning.

Water research
Accurate forecasting of algal blooms is essential for implementing timely control measures. However, given their inherent complex time-frequency characteristics, capturing the dynamics of algal blooms remains an ongoing challenge in standalone models...

[Is the application of digital technologies the game changer for surgical training of the future? A Germany-wide analysis].

Chirurgie (Heidelberg, Germany)
BACKGROUND: The use of digital technologies is becoming increasingly important in medicine and is having a significant impact on developments in the surgical field. However, there is a great need to improve and implement those new techniques in surgi...