Update and rename using-clairvoy to using-clairvoy.md

@dlevitas

docs/tutorial/using-clairvoy.md

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+# Clairvoy Tutorial
+
+## Welcome to Clairvoy.  
+
+Clairvoy is an experimental [brainlife.io](https://brainlife.io) App.  
+The Clairvoy App utilizes a machine learning, prognostic model to predict whether someone who has experienced a concussion is at risk for slow recovery (defined as not cleared for full return to sport at greater than 28 days). 
+The diffusion-weighted and T1-weighted MRI should be collected 24-48 hours after a diagnosed concussion. 
+This experimental tool is entirely based on the publication of Bertó et al. 2024 (Neuroimage: Clinical, In Press).  
+Clairvoy was funded by the U.S. Department of Defense, award W81XWH-20-1-0717, PI: Nicholas L Port. 
+The dataset analyzed by Bertó et al. is from the NCAA/DOD CARE Consortium and was jointly funded by the NCAA and DOD, award W81XWH-14-2-0151, PI: Thomas W McAllister.  
+
+We encourage clinicians and scientists to try Clairvoy and appreciate any feedback on how to refine the app. 
+Drs. [Port](mailto:nport@iu.edu) and [Pestilli](mailto:pestilli@utexas.edu) are actively seeking funding to conduct a clinical trial to validate Clairvoy, but, at present, Clairvoy has not been validated for clinical use.  
+Thank you for trying Clairvoy and helping us refine the application.
+
+## Directions
+
+The Clairvoy App lives inside the [brainlife.io](https://brainlife.io) platform, an easy-to-use, web-based, Open Science data analysis platform focused on neuroimaging.  
+Free and open to anyone in the world, Brainlife has over 1,000 users across dozens of countries. Brainlife offers free access to the super-computer built into the platform. 
+If you become a regular user, you can connect your (super-)computer to BrainLife, which may significantly speed up your analyses. 
+Before using Cairvoy, you will need a free Brainlife login. We recommend reading the [brainlife.io getting started guide](https://brainlife.io/docs/user/started/).
+There are also many helpful videos on the [brainlife.io YouTube channel](https://www.youtube.com/@brainlifeio/videos).
+
+Clairvoy uses the web-based ezBIDS tool (built into Brainlife) to import Dicom files, convert them automatically to NIfTI format, and then create a BIDS project (Brain Imaging Data Structure). 
+You can learn more about ezBIDs at [this link](https://brainlife.io/docs/using_ezBIDS/) and watch a video at [this link](https://www.youtube.com/watch?v=KvhIHxzHsl4). 
+The dMRI and T1 protocols can be found in Berto, et al. (Neuroimage: Clinical, In Press) 2024 and Nencka, et al. 2018 (Brain Imaging Behav 12:1121-1140). 
+
+### Step-by-step directions for Clairvoy:
+
+A narrated video of how to use Clairvoy is available at [this link](https://youtu.be/TvVmsXITP_0).
+
+### Step 1.  Upload files into a BIDS project
+1. Login into ezBIDS with your free Brainlife account. The homepage will now open to the `Upload Imaging Data` on the left side Tab. 
+2. Drag and drop, or browse, for the files you wish to upload. Zip’ing the files may increase upload speed.
+3. Fill in the relevant details of the Dataset Description: Dataset Name (e.g., “DWI_workflow”, Authors (eg. your name).  Some elements will be extracted from the DICOM, eg. Subject and Session. 
+4. If the data is not deidentified, you may wish to change the subject name to a private subject ID number. 
+5. In `BIDS Datatype`, choose `IntendedFor` to `dwi/dwi`. It is also best to deface at this stage, allowing the data to be shared in the future. 
+6. Choose `QuickShear` method and run defacing (this will remove any recognizable face and ear features). When finished, visually confirm the brain is still in the image and select `Use Defaced`.
+7. In `Participants Info`, you may want to choose the sex and age of the subject (this is not HIPAA-protected information), then select `Finalize` to convert to BIDS.[^1]
+8. Next, click `Send to Brainlife.io` and select `Run DWI Pipeline`.
+9. Finally, click `Submit`, this will automatically create a Project on [brainlife.io](https://brainlife.io), and the pipeline will start processing the data inside the project.  
+
+### Step 2.  Switch to Brainlife
+1. Navigate to [brainlife.io/projects](https://brainlife.io/projects). 
+2. In `Projects`, search for and choose your Project using the name selected in Step 1 (e.g., DWI_workflow).  
+3. The `Pipeline` tab should show the pipeline is “active” and “processing.” Wait for process completion[^2].
+
+### Step 3.  Run the Clairvoy App
+After pipeline completion:
+1. Choose the `Archive` tab in your project,
+2. Select `tractmeasures`, and
+3. Choose `Stage to process`.  Give the process the name “Clairvoy” and click `Submit`.
+4. In the `Preprocess` tab, choose `Clairvoy` and click `Submit App`.
+5. Choose the `Clairvoy App` from the list of Apps suggested by [brainlife.io](https://brainlife.io) and click submit. This should only take a minute or so to complete.
+6. When finished, the `Clairvoy App` output will state either: **This injury is at high risk of developing PPCS** in red letters, or **This injury is predicted to recover in under 28 days** in green letters.
+
+**[Here is a narrated YouTube video about how to run Clairvoy](https://youtu.be/TvVmsXITP_0)**
+
+[^1]: It is best practice to save the download `configuration/template` to your computer, which can be reused later for other similar datasets. 
+
+[^2]: Time to completion depends on the currently available computing resources on [brainlife.io](https://brainlife.io). 
+If you have access to a (super-)computer, time to completion may be reduced to less than an hour. 
+If you use a free, public [brainlife.io](https://brainlife.io) supercomputer, the pipeline may take over 24 hours to complete.
+