Algorithm 1: Artificial-intelligence-based model for the healthcare metaverse
Input: NLP data, Sensor data, Image data, Trained model Output: O(XAI)
1.	Procedure AI_model(NLP data, Sensor data, Image data, Trained model)
2.	Data←load_data(NLP_data, sensor_data, Image_data)
3.	Data←Data_preprocessing(Data)
4.	Prediction←Trained_model.predict(Data)
5.	If (Data include medical images) then Import GradCAM Heatmap=make_gradcam_heatmap(Trained_model, Data) Else: Import LIME e = LIME.GradientExplainer(Trained_model, Data) LIME_values = e.LIME_values(Data)
6.	Display_gradcam/LIME
7.	O(XAI)←LIME.image_plot(LIME_values) O(XAI)←display_gradcam(heatmap)
8.	End.