AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 61 to 70 of 147 articles

Artificial intelligence in biology and medicine, and radioprotection research: perspectives from Jerusalem.

Frontiers in artificial intelligence
While AI is widely used in biomedical research and medical practice, its use is constrained to few specific practical areas, e.g., radiomics. Participants of the workshop on "Artificial Intelligence in Biology and Medicine" (Jerusalem, Feb 14-15, 202...

A survey on the role of artificial intelligence in managing Long COVID.

Frontiers in artificial intelligence
In the last years, several techniques of artificial intelligence have been applied to data from COVID-19. In addition to the symptoms related to COVID-19, many individuals with SARS-CoV-2 infection have described various long-lasting symptoms, now te...

Construction and validation of a method for automated time label segmentation of heart sounds.

Frontiers in artificial intelligence
Heart sound detection technology plays an important role in the prediction of cardiovascular disease, but the most significant heart sounds are fleeting and may be imperceptible. Hence, obtaining heart sound information in an efficient and accurate m...

Opportunities for synthetic data in nature and climate finance.

Frontiers in artificial intelligence
This paper delves into the intricacies of synthetic data, emphasizing its growing significance in the realm of finance and more notably, sustainable finance. Synthetic data, artificially generated to simulate real-world data, is being recognized for ...

Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach.

Frontiers in artificial intelligence
INTRODUCTION: The move from a reactive model of care which treats conditions when they arise to a proactive model which intervenes early to prevent adverse healthcare events will benefit from advances in the predictive capabilities of Artificial Inte...

Application of hybrid fuzzy interval-based machine learning models on financial time series - A case study of Taiwan biotech index during the epidemic period.

Frontiers in artificial intelligence
In recent years, the use of machine learning to predict stock market indices has emerged as a vital concern in the FinTech domain. However, the inherent nature of point estimation in traditional supervised machine learning models leads to an almost n...

Argument-based inductive logics, with coverage of compromised perception.

Frontiers in artificial intelligence
Formal deductive logic, used to express and reason over declarative, axiomatizable content, captures, we now know, essentially all of what is known in mathematics and physics, and captures as well the details of the proofs by which such knowledge has...

Explaining graph convolutional network predictions for clinicians-An explainable AI approach to Alzheimer's disease classification.

Frontiers in artificial intelligence
INTRODUCTION: Graph-based representations are becoming more common in the medical domain, where each node defines a patient, and the edges signify associations between patients, relating individuals with disease and symptoms in a node classification ...

Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease.

Frontiers in artificial intelligence
In today's modern era, chronic kidney disease stands as a significantly grave ailment that detrimentally impacts human life. This issue is progressively escalating in both developed and developing nations. Precise and timely identification of chronic...

A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging.

Frontiers in artificial intelligence
Patients with facial trauma may suffer from injuries such as broken bones, bleeding, swelling, bruising, lacerations, burns, and deformity in the face. Common causes of facial-bone fractures are the results of road accidents, violence, and sports inj...