Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

ABSTRACT: AI techniques are proving unbeatable in the fight for supremacy in methods of evaluation, optimization, control, object recognition, sensor monitoring, image interpretation, machine learning ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Rather, reporters I spoke to who worked on these stories primarily used machine learning techniques that preceded the release of ChatGPT and rise of large language models (LLMs). Overall, many of the ...

Large CV datasets generated using COMSOL Multiphysics software were used to train these image-recognition-based machine learning models. Finally, we show that the models achieve a high degree of ...

This consists of 15 biochemical tests, including serum phosphate. Our aim was to understand if abnormalities in serum phosphate could be predicted, using a machine learning algorithm (MLA) by other ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

Fourier and wavelet transforms are used to extract features and the performances of various machine learning algorithms, namely Decision Tree, Random-Forest, K-Nearest Neighbors, Support Vector ...