[HTML][HTML] The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review

S Ali, F Akhlaq, AS Imran, Z Kastrati… - Computers in Biology …, 2023 - Elsevier
In domains such as medical and healthcare, the interpretability and explainability of
machine learning and artificial intelligence systems are crucial for building trust in their …

A survey of COVID-19 diagnosis using routine blood tests with the aid of artificial intelligence techniques

S Abbasi Habashi, M Koyuncu, R Alizadehsani - Diagnostics, 2023 - mdpi.com
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), causing a disease
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …

Semi-supervised KPCA-based monitoring techniques for detecting COVID-19 infection through blood tests

F Harrou, A Dairi, A Dorbane, F Kadri, Y Sun - Diagnostics, 2023 - mdpi.com
This study introduces a new method for identifying COVID-19 infections using blood test
data as part of an anomaly detection problem by combining the kernel principal component …

Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey

MA Onari, I Grau, MS Nobile… - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Nowadays, a large amount of structured and unstructured data is being produced in various
fields, creating tremendous opportunities to implement Machine Learning (ML) algorithms …