Table 1 Variable List: Primary Experiment Data.

From: A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration

Variable

Data Type

Range

Description

uid_clean

str

 

Radiologist-session identifier

experiment_id

str

 

Radiologist identifier

experiment_session

int

0, 1, 2, 3

Session number

design

dbl

1, 2, 3

Design arm

patient_id

int

 

Patient identifier

pathology

str

 

Pathology

round

long

[1, 100] ∈ N

Patient-case read sequence within radiologist-session

   

(minimum value is 1)

treat

int

0, 1

Indicator if radiologist selected treat/follow-up.

   

Missing for pathologies where it was deemed not relevant

treatment

str

 

Information environment under which case was read

   

IN (NIN): Clinical history was (was not) provided,

   

AI (NAI): AI assistance was (was not) provided,

   

warmup: Practice image before the experiment started

level

int

0, 1, 2, 3

Position in pathology hierarchy (e.g. level 0 is top-level)

visible

int

0, 1

Indicator if pathology was visible when rad submitted case

probability

dbl

[0, 1]

Probability radiologist reported on interface slider

severity

str

 

Response to severity question, when relevant

size

str

 

Response to size question, when relevant

position

str

 

Response to position question, when relevant

active_time

dbl

 

Time spent actively working on case (in seconds)

raw_time

dbl

 

Total time spent on case (in seconds)

num_clicks

dbl

 

Number of clicks on a case

group_vietnam

int

0, 1

Indicator if the radiologist is from VinMac healthcare system, Vietnam

group_teleradiology

int

0, 1

Indicator if the radiologist is from a tele radiology company

group_pilot

int

0, 1

Indicator if the radiologist is from the experiment pilot

group_ground_truth

int

0, 1

Indicator if the radiologist is a ground truth radiologist

inventive_round

int

0, 1

Indicator if incentives for correct diagnosis were provided

total_num_rounds

long

[65, 100]

The total number of reads by one radiologist

chexbert_label

dbl

0, 1

ChexBert label for this case / pathology

alg_pred

dbl

[0, 1]

AI prediction

with_ai

byte

0, 1

Indicator if radiologist had access to AI

with_ch

byte

0, 1

Indicator if radiologist had access to CH

gt_average_XX

dbl

[0, 1]

Average of ground truth probabilities for group XX (us, vietnam, all, experiment)

gt_binary_simple_XX

long

0, 1

Binary ground truth based on simple average for group XX

gt_average_active_time_XX

dbl

(35, 344)

Average active time of the GT radiologists