Marktechpost

DECEMBER 14, 2023

It was discerned between eight subjects based on their diverse pronunciation of vowels with an accuracy rate of 78%. The researchers envision potential applications in understanding neurological diseases such as Alzheimer’s, utilizing Brainoware to decode brain wave activities during sleep, and potentially recording dreams.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 111

Dlabs.ai

MARCH 2, 2023

Using AI in medical imaging removes subjectivity with a quantitative approach, helping identify the type of cancer and determine how to treat it. On the other hand, artificial intelligence can quantify changes in a patient’s brain , allowing the early detection and diagnosis of neurological disease.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Flipboard

JUNE 3, 2023

The analysis , published 27 April in the Journal of Clinical Investigation , includes clustering of patient days by machine learning, which suggests that long-term respiratory failure and the risk of secondary infection are much more common in COVID-19 patients than the subject of much early COVID fears— cytokine storms.

Machine Learning 159

Machine Learning Big Data Algorithm Data Analysis 159