AIMC Topic: Artificial Intelligence

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Explainable AI in radiology: a white paper of the Italian Society of Medical and Interventional Radiology.

La Radiologia medica
The term Explainable Artificial Intelligence (xAI) groups together the scientific body of knowledge developed while searching for methods to explain the inner logic behind the AI algorithm and the model inference based on knowledge-based interpretabi...

A Horizon Scan to Support Chemical Pollution-Related Policymaking for Sustainable and Climate-Resilient Economies.

Environmental toxicology and chemistry
While chemicals are vital to modern society through materials, agriculture, textiles, new technology, medicines, and consumer goods, their use is not without risks. Unfortunately, our resources seem inadequate to address the breadth of chemical chall...

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects.

European radiology experimental
Artificial intelligence (AI) is transforming the field of medical imaging and has the potential to bring medicine from the era of 'sick-care' to the era of healthcare and prevention. The development of AI requires access to large, complete, and harmo...

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories.

Nature medicine
Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes, indicating a pronounced need for early detection. In this study, we applied artificial intelligence methods to clinical data from 6 million patients (24,000 p...

FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT.

Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery
The field of medicine has always been at the forefront of technological innovation, constantly seeking new strategies to diagnose, treat, and prevent diseases. Guidelines for clinical practice to orientate medical teams regarding diagnosis, treatment...

Artificial intelligence in coronary artery calcium measurement: Barriers and solutions for implementation into daily practice.

European journal of radiology
Coronary artery calcification (CAC) measurement is a valuable predictor of cardiovascular risk. However, its measurement can be time-consuming and complex, thus driving the desire for artificial intelligence (AI)-based approaches. The aim of this rev...

Harvesting the Power of Artificial Intelligence for Surgery: Uses, Implications, and Ethical Considerations.

The American surgeon
Artificial intelligence is rapidly advancing, especially with the advent of ChatGPT technology, and its role in the world of medicine is expanding. Within surgery, AI has the capacity to improve efficiency and results in surgical treatments; however,...

An artificial neural network approach for rational decision-making in borderline orthodontic cases: A preliminary analytical observational in silico study.

Journal of orthodontics
INTRODUCTION: Artificial intelligence (AI) technology has transformed the way healthcare functions in the present scenario. In orthodontics, expert systems and machine learning have aided clinicians in making complex, multifactorial decisions. One su...

Towards inclusive green growth: does digital economy matter?

Environmental science and pollution research international
In this decade, China has been pursuing an inclusive green growth strategy. Concurrently, the digital economy, which relies on the Internet of Things, big data, and artificial intelligence, has experienced explosive growth in China. The digital econo...

Exploring the Potential of Chat GPT in Personalized Obesity Treatment.

Annals of biomedical engineering
Obesity has become a serious global health problem. For some patients who cannot be treated with traditional methods, artificial intelligence technologies are a new source of hope. Chat GPT is a language model that has become popular in recent times ...