Machine learning for automated classification of abnormal lung sounds obtained from public...

AI in knowledge sharing, which ethical challenges are raised in decision-making processes for organisations?

M Rezaei, M Pironti, R Quaglia - Management Decision, 2024 - emerald.com
Purpose This study aims to identify and assess the key ethical challenges associated with
integrating artificial intelligence (AI) in knowledge-sharing (KS) practices and their …
被引用次数：1 相关文章 所有 2 个版本

A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds

NS Alghamdi, M Zakariah, H Karamti - Multimedia Tools and Applications, 2024 - Springer
Abstract Machine learning algorithms have recently been increasingly used in medical data,
particularly in healthcare areas where image processing techniques have played a crucial …
被引用次数：2 相关文章 所有 2 个版本

Recognition of Patient Gender: A Machine Learning Preliminary Analysis Using Heart Sounds from Children and Adolescents

RM Carrillo-Larco - Pediatric Cardiology, 2024 - Springer
Research has shown that X-rays and fundus images can classify gender, age group, and
race, raising concerns about bias and fairness in medical AI applications. However, the …
相关文章 所有 2 个版本
[PDF] arxiv.org

Multi-Task Learning for Lung sound & Lung disease classification

S KV, D Koppad, P Kumar, NA Kantikar… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, advancements in deep learning techniques have considerably enhanced
the efficiency and accuracy of medical diagnostics. In this work, a novel approach using …
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[引用][C] Machines are learning chest auscultation. Will they also become our teachers?

H Pasterkamp, H Melbye - CHEST Pulmonary, 1924 - Elsevier
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