AI Medical Compendium Topic:
Forecasting

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Fragmentation in the future of work: A horizon scan examining the impact of the changing nature of work on workers experiencing vulnerability.

American journal of industrial medicine
INTRODUCTION: The future of work is characterized by changes that could disrupt all aspects of the nature and availability of work. Our study aims to understand how the future of work could result in conditions, which contribute to vulnerability for ...

Artificial Intelligence in Endodontics: Current Applications and Future Directions.

Journal of endodontics
INTRODUCTION: Artificial intelligence (AI) has the potential to replicate human intelligence to perform prediction and complex decision making in health care and has significantly increased its presence and relevance in various tasks and applications...

Forecasting Air Temperature on Edge Devices with Embedded AI.

Sensors (Basel, Switzerland)
With the advent of the Smart Agriculture, the joint utilization of Internet of Things (IoT) and Machine Learning (ML) holds the promise to significantly improve agricultural production and sustainability. In this paper, the design of a Neural Network...

Musculoskeletal trauma and artificial intelligence: current trends and projections.

Skeletal radiology
Musculoskeletal trauma accounts for a significant fraction of emergency department visits and patients seeking urgent care, with a high financial cost to society. Diagnostic imaging is indispensable in the workup and management of trauma patients. Ho...

Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study.

Computers in biology and medicine
The volume of daily patient arrivals at Emergency Departments (EDs) is unpredictable and is a significant reason of ED crowding in hospitals worldwide. Timely forecast of patients arriving at ED can help the hospital management in early planning and ...

A long short-term memory-fully connected (LSTM-FC) neural network for predicting the incidence of bronchopneumonia in children.

Environmental science and pollution research international
Bronchopneumonia is the most common infectious disease in children, and it seriously endangers children's health. In this paper, a deep neural network combining long short-term memory (LSTM) layers and fully connected layers was proposed to predict t...

Artificial Intelligence and Ethics in Dentistry: A Scoping Review.

Journal of dental research
Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The objective of this systematic ...

Short-term prediction of carbon emissions based on the EEMD-PSOBP model.

Environmental science and pollution research international
The recovery of carbon emissions in the past 2 years has alerted us that carbon emissions are a long-term process, and setting short-term emission reduction targets can more effectively curb the rising trend of carbon emissions. Therefore, the resear...

Predictive analysis of the number of human brucellosis cases in Xinjiang, China.

Scientific reports
Brucellosis is one of the major public health problems in China, and human brucellosis represents a serious public health concern in Xinjiang and requires a prediction analysis to help making early planning and putting forward science preventive and ...