Paralysed Man Walks Again, Thanks To Revolutionary Spinal Cord Implant – The Medica l Futurist Newsletter

From: Dr. Bertalan Meskó, MD <newsletter@medicalfuturist.com>
Sent: Tuesday, February 15, 2022 9:00 AM
To: Thornton,Joseph Edward <joethornton@ufl.edu>
Subject: Paralysed Man Walks Again, Thanks To Revolutionary Spinal Cord Implant – The Medical Futurist Newsletter

[External Email]
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Here is an announcement about a revolutionary technology that could give patients a chance to walk again even after a severe sprinal cord injury. The solution lies in the power of a spinal cord implant.

Sometimes it’s just good to feel that the future is bright, especially when it comes to the use of advanced technologies for the benefit of patients.

Recently, we also analyzed the current status of exoskeletons, a similar, but less invasive technology.

Take care,

Berci
Bertalan Meskó, MD
The Medical Futurist

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THE STATE OF EXOSKELETONS IN 2022

Tweet by Predicting Recovery Study on Twitter. John torous

H_Y7XmLc_normal.jpg Predicting Recovery Study (@PredictRecovery)
11/29/21, 2:37 PM
Dr. John Torous (⁦‪@JohnTorousMD‬⁩) joined the EAT Lab’s Predicting Recovery study team today to talk about digital mental health apps, sharing with us his knowledge on their current state and important considerations for future development. Check out some of what we talked about! pic.twitter.com/bNJmumXz3j

Download the Twitter app

Joseph Thornton
Sent from iPhone

Big Data will change Psychiatry

https://time.com/6076797/big-data-psychiatry/

This Time Magazine article by a new faculty psychiatrist at Harvard University describes a potential paradigm shift in psychiatric diagnosis. The National Institutes of Mental Health has initiated an $82.5 million five year program to partner with private organizations to harness big data, especially data collected from smart devices, to identify new patterns of conditions as opposed to checklist of symptoms.

JT

Racial Disparities in AI suicide risk prediction

Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits | Health Disparities | JAMA Psychiatry | JAMA Network

Three problems are highlighted

  1. Due to the low absolute numbers, the predictive accuracy for BIPOC was low and the risk missed at the set parameters
  2. Correcting the sensitivity to capture the BIPCO was associated with high number of false positives
  3. The risk assessment for increased number of law enforcement interactions with BIPOC is not known but could be problematic

https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2778923?guestAccessKey=0e70792a-f563-44d8-af53-62d791587930&utm_source=silverchair&utm_medium=email&utm_campaign=article_alert-jamapsychiatry&utm_content=etoc&utm_term=070721

Joseph (Joe) E. Thornton, M.D., DFAPA
Adjunct Clinical Associate Professor, Psychiatry
University of Florida College of Medicine
joethornton@ufl.edu