AIMC Topic: Artificial Intelligence

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Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review.

International journal of medical informatics
INTRODUCTION: Since the beginning of the COVID-19 pandemic, numerous machine and deep learning (MDL) methods have been proposed in the literature to analyze patient physiological data. The objective of this review is to summarize various aspects of t...

The artificial intelligence revolution in primary care: Challenges, dilemmas and opportunities.

Atencion primaria
Artificial intelligence (AI) can be a valuable tool for primary care (PC), as, among other things, it can help healthcare professionals improve diagnostic accuracy, chronic disease management and the overall efficiency of the care they provide. It is...

Advancing proactive crash prediction: A discretized duration approach for predicting crashes and severity.

Accident; analysis and prevention
Driven by advancements in data-driven methods, recent developments in proactive crash prediction models have primarily focused on implementing machine learning and artificial intelligence. However, from a causal perspective, statistical models are pr...

Grounding neuroscience in behavioral changes using artificial neural networks.

Current opinion in neurobiology
Connecting neural activity to function is a common aim in neuroscience. How to define and conceptualize function, however, can vary. Here I focus on grounding this goal in the specific question of how a given change in behavior is produced by a chang...

Computational drug discovery on human immunodeficiency virus with a customized long short-term memory variational autoencoder deep-learning architecture.

CPT: pharmacometrics & systems pharmacology
Despite attempts to control the spread of human immunodeficiency virus (HIV) through the use of anti-HIV medications, the absence of an effective vaccine continues to present a significant obstacle. In addition, the development of drug resistance by ...

ChatGPT's responses to questions related to epilepsy.

Seizure
This is a correspondence on published article on "ChatGPT's responses to questions related to epilepsy".

On artificial intelligence and global mental health.

Asian journal of psychiatry
Artificial intelligence (AI) is affecting global societies and reshaping the status quo. AI technologies possess great potential to tackle some of mankind's most pressing problems, although much of what can be achieved is still a matter of imaginatio...

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence
Ensuring safety and achieving human-level driving performance remain challenges for autonomous vehicles, especially in safety-critical situations. As a key component of artificial intelligence, reinforcement learning is promising and has shown great ...

How Can the Clinical Aptitude of AI Assistants Be Assayed?

Journal of medical Internet research
Large language models (LLMs) are exhibiting remarkable performance in clinical contexts, with exemplar results ranging from expert-level attainment in medical examination questions to superior accuracy and relevance when responding to patient queries...

Detection of safety helmet and mask wearing using improved YOLOv5s.

Scientific reports
With the advancement of society, ensuring the safety of personnel involved in municipal construction projects, particularly in the context of pandemic control measures, has become a matter of utmost importance. This paper introduces a security measur...