With the rapid advancement of artificial intelligence, the integration of diverse data sources in healthcare presents unique challenges. This paper conducts an in-depth comparative analysis of data fusion methods within smart healthcare, emphasizing the critical role of seamless integration and analysis of heterogeneous healthcare data. It carefully selects methodologies based on their relevance to data fusion and smart healthcare, outlining the strengths and limitations of each multimodal data fusion technique. Additionally, it sheds light on the specific challenges encountered in multimodal fusion, aiming to enhance healthcare delivery and patient care through innovative data integration strategies.
No takes yet. Share an insight, caveat, or question.
Karbout et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: