Artificial intelligence in respiratory care: Current scenario and future perspective
S Al-Anazi, A Al-Omari, S Alanazi, A Marar… - Annals of Thoracic …, 2024 - journals.lww.com
BACKGROUND: This narrative review aims to explore the current state and future
perspective of artificial intelligence (AI) in respiratory care. The objective is to provide …
perspective of artificial intelligence (AI) in respiratory care. The objective is to provide …
Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods
Abstract Background and Aims Due to the COVID‐19 pandemic, a precise and reliable
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
[HTML][HTML] BCLH2Pro: A novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes
T Tuntiwongwat, S Thammawiset, TR Srinophakun… - Energy and AI, 2024 - Elsevier
This study optimizes biomass chemical looping processes (BCLpro), a technique for
converting biomass to energy, through machine learning (ML) for sustainable energy …
converting biomass to energy, through machine learning (ML) for sustainable energy …
[HTML][HTML] Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN
Respiratory disorders are commonly regarded as complex disorders to diagnose due to their
multi-factorial nature, encompassing the interplay between hereditary variables …
multi-factorial nature, encompassing the interplay between hereditary variables …
[PDF][PDF] Energy and AI
T Tuntiwongwat, S Thammawiset, TR Srinophakun… - psasir.upm.edu.my
This study optimizes biomass chemical looping processes (BCLpro), a technique for
converting biomass to energy, through machine learning (ML) for sustainable energy …
converting biomass to energy, through machine learning (ML) for sustainable energy …