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Explainable AI for Healthcare 5.0: Opportunities and Challenges
Deepti Saraswat
, Pronaya Bhattacharya
, Ashwin Verma
, Vivek Kumar Prasad
, Sudeep Tanwar
,
Gulshan Sharma
,
Pitshou N. Bokoro
, Ravi Sharma
Electrical and Electronic Engineering Technology
Nirma University
University of Petroleum and Energy Studies
Research output
:
Contribution to journal
›
Review article
›
peer-review
447
Citations (Scopus)
Overview
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Computer Science
Explainable Artificial Intelligence
100%
Artificial Intelligence
22%
Case Study
22%
Big Data
11%
Machine Learning
11%
Research Question
11%
Internet of Things
11%
Prediction Model
11%
Image Segmentation
11%
Image Classification
11%
Federated Learning
11%
Data Collection Process
11%
Predictive Analysis
11%
Deep Learning Model
11%
Decision-Making
11%
Artificial Intelligence Model
11%
Deployment Model
11%
Classification Process
11%
Segmentation Process
11%
Data Interpretation
11%
Operational Procedure
11%
Clinical Application
11%
Keyphrases
Explainable AI
100%
AI in Healthcare
42%
Electrocardiographic Monitoring
14%
Verifiability
14%
Healthcare Stakeholders
14%
Computer Tomography Image
14%
Privacy Compliance
14%
Metric Validation
14%
Ambient Control
14%
Life Model
14%
Operation Boundary
14%
Black-box Model
14%
Digital Wellness
14%
Engineering
Artificial Intelligence
100%
Real Life
8%
Local Model
8%
Internet of Things
8%
Metrics
8%
Deep Learning
8%
Clinical Application
8%
Image Classification
8%
Operational Procedure
8%
Life Model
8%
Black-Box Model
8%
Realization
8%
Big Data
8%
Material Science
Tomography
100%