29 min
18. Student Uses AI to Prevent Suicides Inspiring Solutions for a Better World
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- Documentary
Our speaker today, Siddhu Pachipala, will make the argument that we can do far better identifying and treating suicide risk.
For all the radical leaps forward we've seen in machine learning, biotechnology, and renewable energy over the past 70 years, it feels like psychiatry is sitting firmly in the dust. Just look at the way we handle suicide.
The moment a patient walks into the clinic, they're asked to bullet off their symptoms for the clinician to analyze, a process subject to so much bias that it lets the vast majority of high-risk patients go unnoticed. For the few high-risk patients that do get spotted, clinicians are supposed to take their symptoms and use the Diagnostic and Statistical Manual of Mental Disorders (DSM) to pick out treatment, but the DSM is so arbitrary that the process is little more than guesswork—with billions of dollars in debts, years of delays, and millions of deaths as the result.
It's been more than a decade since the National Institute of Mental Health (NIMH) announced that our risk assessments and treatment appraisals have reached their limits. But there hasn't been a viable replacement… until now. SuiSensor brings psychiatry right where it belongs: here, in the 21st century. Instead of ticking off monthly or yearly one-size-fits-all boxes, SuiSensor gives custom, real-time reports, outperforming our current assessments by a whopping 92.65%.
When it comes to our trial-and-error appraisals, the results speak for themselves: SuiSensor's machine-learning algorithms can interpret patients' underlying etiologies and deliver optimal treatment modalities with 86.75% accuracy. The future of psychiatric diagnosis and treatment could rest in the very words we write.
Siddhu Pachipala is an Indian-American innovator and an MIT student, and was named one of Change.org's Top 10 Changemakers Under 25. His vision is to use hard data to "bring some sense to our senseless state of affairs here in America." By morning, Siddhu is talking civic tech with National Geographic as one of Regeneron's Top 40 Young Scientists... and by night, he's building coalitions of working-class Texans with his NGO, Embolden. When Siddhu finally collapses, sometime around 1:22 AM, his bed might be in Cambridge, but his home? Still Conroe, Texas.
To learn more: https://www.npr.org/2023/05/20/1176438893/this-high-school-seniors-science-project-could-one-day-save-lives
More about the Rotary eClub of Silicon Valley
Website: Rotary.cool
Meetings’ Video Archive
YouTubeChannel
How to become a member in this online Rotary eClub
More about Rotary International:
Website: www.Rotary.org
Find a local Rotary club
Find an online Rotary Club
Podcast and Zoom Host: Rushton Hurley
Podcast Producer: Elton Sherwin
Audio edited and enhanced with: Descript Studio Sound
#PositiveChange #Inspiration #Rotary
Our speaker today, Siddhu Pachipala, will make the argument that we can do far better identifying and treating suicide risk.
For all the radical leaps forward we've seen in machine learning, biotechnology, and renewable energy over the past 70 years, it feels like psychiatry is sitting firmly in the dust. Just look at the way we handle suicide.
The moment a patient walks into the clinic, they're asked to bullet off their symptoms for the clinician to analyze, a process subject to so much bias that it lets the vast majority of high-risk patients go unnoticed. For the few high-risk patients that do get spotted, clinicians are supposed to take their symptoms and use the Diagnostic and Statistical Manual of Mental Disorders (DSM) to pick out treatment, but the DSM is so arbitrary that the process is little more than guesswork—with billions of dollars in debts, years of delays, and millions of deaths as the result.
It's been more than a decade since the National Institute of Mental Health (NIMH) announced that our risk assessments and treatment appraisals have reached their limits. But there hasn't been a viable replacement… until now. SuiSensor brings psychiatry right where it belongs: here, in the 21st century. Instead of ticking off monthly or yearly one-size-fits-all boxes, SuiSensor gives custom, real-time reports, outperforming our current assessments by a whopping 92.65%.
When it comes to our trial-and-error appraisals, the results speak for themselves: SuiSensor's machine-learning algorithms can interpret patients' underlying etiologies and deliver optimal treatment modalities with 86.75% accuracy. The future of psychiatric diagnosis and treatment could rest in the very words we write.
Siddhu Pachipala is an Indian-American innovator and an MIT student, and was named one of Change.org's Top 10 Changemakers Under 25. His vision is to use hard data to "bring some sense to our senseless state of affairs here in America." By morning, Siddhu is talking civic tech with National Geographic as one of Regeneron's Top 40 Young Scientists... and by night, he's building coalitions of working-class Texans with his NGO, Embolden. When Siddhu finally collapses, sometime around 1:22 AM, his bed might be in Cambridge, but his home? Still Conroe, Texas.
To learn more: https://www.npr.org/2023/05/20/1176438893/this-high-school-seniors-science-project-could-one-day-save-lives
More about the Rotary eClub of Silicon Valley
Website: Rotary.cool
Meetings’ Video Archive
YouTubeChannel
How to become a member in this online Rotary eClub
More about Rotary International:
Website: www.Rotary.org
Find a local Rotary club
Find an online Rotary Club
Podcast and Zoom Host: Rushton Hurley
Podcast Producer: Elton Sherwin
Audio edited and enhanced with: Descript Studio Sound
#PositiveChange #Inspiration #Rotary
29 min