code: def test_lung_nodule_detection(self):
      if not torch.cuda.is_available():
          return
  
      model = "lung_nodule_ct_detection"
      image = "1.3.6.1.4.1.14519.5.2.1.6279.6001.188385286346390202873004762827"
  
      response = requests.post(
          f"{SERVER_URI}/infer/{model}?image={image}"
      )
      assert response.status_code == 200
  
imports: import unittest
  import requests
  import torch
  from tests.integration import SERVER_URI
label_desc: Use image node_id 1 for calling the EndPointInfer obj's underlying member method code with example usage: obj.test_lung_nodule_detection() without return types