Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review

<p dir="ltr">Data generated from sources such as wearable sensors, medical imaging, personal health records, and public health organizations have resulted in a massive information increase in the medical sciences over the last decade. Advances in computational hardware, such as cloud...

Full description

Saved in:

Bibliographic Details
Main Author:	Rizwan Qureshi (15279193) (author)
Other Authors:	Muhammad Irfan (255476) (author), Hazrat Ali (421019) (author), Arshad Khan (166346) (author), Aditya Shekhar Nittala (17949104) (author), Shawkat Ali (592303) (author), Abbas Shah (17949107) (author), Taimoor Muzaffar Gondal (17949110) (author), Ferhat Sadak (16904730) (author), Zubair Shah (231886) (author), Muhammad Usman Hadi (17949113) (author), Sheheryar Khan (16500267) (author), Qasem Al-Tashi (15178375) (author), Jia Wu (169990) (author), Amine Bermak (1895947) (author), Tanvir Alam (638619) (author)
Published:	2023
Subjects:	Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Medical services Machine learning Biological system modeling Predictive models Biosensors Medical diagnostic imaging Data models Artificial intelligence explainable AI medical imaging domain adaptation federated learning big data analytics large language models
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review

Similar Items