diff --git a/R/ae_forestly.R b/R/ae_forestly.R
index d59b1a9..1c7ef27 100644
--- a/R/ae_forestly.R
+++ b/R/ae_forestly.R
@@ -23,6 +23,7 @@
 #' @param filter A character value of the filter variable.
 #' @param filter_label A character value of the label for slider bar.
 #' @param filter_range A numeric vector of length 2 for the range of the slider bar.
+#' @param ae_label A character value of the label for criteria.
 #'   If NULL (default), the range is automatically calculated from the data.
 #'   If only one value is provided, it will be used as the maximum and minimum will be 0.
 #' @param width A numeric value of width of the table in pixels.
@@ -49,6 +50,7 @@ ae_forestly <- function(outdata,
                         filter = c("prop", "n"),
                         filter_label = NULL,
                         filter_range = NULL,
+                        ae_label = NULL,
                         width = 1400,
                         max_page = NULL) {
   filter <- match.arg(filter)
@@ -89,8 +91,8 @@ ae_forestly <- function(outdata,
 
   if (is.null(filter_label)) {
     filter_label <- ifelse(filter == "prop",
-      "Incidence (%) in One or More Treatment Groups",
-      "Number of AE in One or More Treatment Groups"
+                           "Incidence (%) in One or More Treatment Groups",
+                           "Number of AE in One or More Treatment Groups"
     )
   }
 
@@ -104,8 +106,8 @@ ae_forestly <- function(outdata,
 
   parameters <- unlist(strsplit(outdata$parameter, ";"))
   par_label <- vapply(parameters,
-    function(x) metalite::collect_adam_mapping(outdata$meta, x)$label,
-    FUN.VALUE = character(1)
+                      function(x) metalite::collect_adam_mapping(outdata$meta, x)$label,
+                      FUN.VALUE = character(1)
   )
 
   for (par in parameters[(!(parameters %in% unique(outdata$parameter_order)))]) {
@@ -136,9 +138,14 @@ ae_forestly <- function(outdata,
   default_param <- as.character(unique(outdata$tbl$parameter)[1])
 
   random_id <- paste0("filter_ae_", uuid::UUIDgenerate(), "|", default_param)
+
+  if (is.null(ae_label)) {
+    ae_label <- "AE Criteria"
+  }
+
   filter_ae <- crosstalk::filter_select(
     id = random_id,
-    label = "AE Criteria",
+    label = ae_label,
     sharedData = tbl,
     group = ~parameter,
     multiple = FALSE
@@ -192,9 +199,9 @@ ae_forestly <- function(outdata,
       t_details <- subset(
         outdata$ae_listing,
         ((toupper(outdata$ae_listing$Adverse_Event) %in% toupper(t_row)) &
-          (outdata$ae_listing$param == t_param)) |
+           (outdata$ae_listing$param == t_param)) |
           ((toupper(outdata$ae_listing$SOC_Name) %in% toupper(t_row)) &
-            (outdata$ae_listing$param == t_param))
+             (outdata$ae_listing$param == t_param))
       )
 
       # Exclude 'param' column from t_details
diff --git a/man/ae_forestly.Rd b/man/ae_forestly.Rd
index eedee2f..0e7629c 100644
--- a/man/ae_forestly.Rd
+++ b/man/ae_forestly.Rd
@@ -10,6 +10,7 @@ ae_forestly(
   filter = c("prop", "n"),
   filter_label = NULL,
   filter_range = NULL,
+  ae_label = NULL,
   width = 1400,
   max_page = NULL
 )
@@ -23,7 +24,9 @@ ae_forestly(
 
 \item{filter_label}{A character value of the label for slider bar.}
 
-\item{filter_range}{A numeric vector of length 2 for the range of the slider bar.
+\item{filter_range}{A numeric vector of length 2 for the range of the slider bar.}
+
+\item{ae_label}{A character value of the label for criteria.
 If NULL (default), the range is automatically calculated from the data.
 If only one value is provided, it will be used as the maximum and minimum will be 0.}