"Advancing Smart Healthcare Through Artificial Intelligence and Multimodal Data Integration: A Comprehensive Analysis of Emerging Trends, Innovations, and Future Directions in Healthcare Technology"

Abstract

Our capacity to analyze numerous healthcare databases has improved with 
intelligent computers using artificial intelligence tools. People often seek 
this subject yet researchers are scarce who study employing AI in 
healthcare system big data analysis. This research examines 683 academic 
studies from 2002 to 2022 using bibliometrics and topic modeling to study 
changes in smart healthcare research. Since 2013 interdisciplinary journals 
published more research results that demonstrate their key contribution to 
AI-based healthcare advances. Researchers need to develop brain scanning 
tools first then mix various brain images and combine medical records into 
predictive models using fMRI and EEG signals. Combining MRI modes with 
AI brings us better diagnoses and helps design personal treatment plans. 
Healthcare teams can better understand tumor details when they combine 
and study different MRI scan results at once to plan better patient 
treatments. Health professionals use all tumor aspects to create better care 
plans that boost patient healing. AI development in neuro-oncology helps 
researchers build unique treatment choices while showing its future 
potential for the field.