Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

Deep learning based methods for breast cancer diagnosis: a systematic review and future direction

M Nasser, UK Yusof - Diagnostics, 2023 - mdpi.com
Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

Opportunities of artificial intelligence and machine learning in the food industry

I Kumar, J Rawat, N Mohd, S Husain - Journal of Food Quality, 2021 - Wiley Online Library
The food processing and handling industry is the most significant business among the
various manufacturing industries in the entire world that subsidize the highest employability …

Advanced mango leaf disease detection and severity analysis with federated learning and cnn

S Mehta, V Kukreja, R Yadav - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …

Machine learning and deep learning approach for medical image analysis: diagnosis to detection

M Rana, M Bhushan - Multimedia Tools and Applications, 2023 - Springer
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …

Smart wearables for the detection of cardiovascular diseases: a systematic literature review

M Moshawrab, M Adda, A Bouzouane, H Ibrahim… - Sensors, 2023 - mdpi.com
Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …

DL-CNN-based approach with image processing techniques for diagnosis of retinal diseases

A Tayal, J Gupta, A Solanki, K Bisht, A Nayyar… - Multimedia …, 2022 - Springer
Artificial intelligence has the potential to revolutionize disease diagnosis, classification, and
identification. However, the implementation of clinical-decision support algorithms for …

Dense tissue pattern characterization using deep neural network

I Kumar, A Kumar, VDA Kumar, R Kannan, V Vimal… - Cognitive …, 2022 - Springer
Breast tumors are from the common infections among women around the world. Classifying
the various types of breast tumors contribute to treating breast tumors more efficiently …

Recent advances of utilizing artificial intelligence in lab on a chip for diagnosis and treatment

S Zare Harofte, M Soltani, S Siavashy, K Raahemifar - Small, 2022 - Wiley Online Library
Nowadays, artificial intelligence (AI) creates numerous promising opportunities in the life
sciences. AI methods can be significantly advantageous for analyzing the massive datasets …

Artificial intelligence-based microfluidic platforms for the sensitive detection of environmental pollutants: Recent advances and prospects

N Pouyanfar, SZ Harofte, M Soltani, S Siavashy… - Trends in Environmental …, 2022 - Elsevier
Environmental pollution and its drastic effects on human and animal health have urged
governments to implement strict policies to minimize damage. The first step in applying such …