
Vidushi Savant
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Web page: http://web.stanford.edu/people/vsavant
Bio
Dr. Savant specializes in the treatment of comorbid psychiatric disorders in medically ill patients.
She is a double board certified in Psychosomatic Medicine and General Psychiatry.
Dr. Savant is involved in helping develop an electronic medical record focused on making mental health more trackable and to potentially use the collected data in predicting episodes of mental illness.
Clinical Focus
- Psychiatry
Academic Appointments
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Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Honors & Awards
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Achievement Award, Loyola University Medical Center Department of Psychiatry
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Medical Honor Society, Alpha Omega Alpha Medical Honor Society
Boards, Advisory Committees, Professional Organizations
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Co-Founder and Chief Medical Officer, Savant Care Inc. (2014 - Present)
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Board Certified in Psychiatry, American Board of Psychiatry and Neurology (2013 - Present)
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Board Certified in Psychosomatic Medicine, American Board of Psychiatry and Neurology (2015 - Present)
Professional Education
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Board Certification: American Board of Psychiatry and Neurology, Psychiatry (2013)
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Board Certification: American Board of Psychiatry and Neurology, Psychosomatic Medicine (2015)
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Medical Education: Government Med College-Punjab (2008) India
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Fellowship: Stanford Univ Medical Center (2014) CA
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Residency: Loyola Univ Of Chicago Stritch (2013) IL
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Internship: Rajendra Hospital And Med Coll (2008) India
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MD, Stanford Hospitals and Clinics, Psychosomatic Medicine (Fellowship) (2014)
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MD, Loyola University Medical Center, Adult Psychiatry (Residency) (2013)
Current Research and Scholarly Interests
Neural networks and AI for behavioral health applications
Projects
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Development and deployment of neural networks and artificial intelligence for predicting and tracking of behavioral health, Savant Care Inc. (2014 - Present)
Artificial intelligence is the future. Through the use of a robust EMR integrated with an advance neural network, the SCBrain AI is able to parse data and make smart decisions and recommendations to providers based on patients' diagnosis, life events, medications, etc... From self-learning, the AI is also able to predict risks and associations between certain risk factors or behavioral changes which may produce or be indicative of an onset of a behavioral health crisis or event.
Location
4966 El Camino Real #224, Los Altos, CA 94022
Collaborators
- Sonia Parikh, MD, Savant Care Inc.
For More Information:
All Publications
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Response to Letter to the Editor re: Correction About the Nursing Delirium Screening Scale (Nu-DESC) in Response to: "A Study of the Psychometric Properties of the "Stanford Proxy Test for Delirium" (S-PTD): A New Screening Tool for the Detection of Delirium".
Psychosomatics
2020
View details for DOI 10.1016/j.psym.2020.06.005
View details for PubMedID 33358005
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A Study of the Psychometric Properties of the "Stanford Proxy Test for Delirium" (S-PTD): A New Screening Tool for the Detection of Delirium
PSYCHOSOMATICS
2020; 61 (2): 116–26
View details for Web of Science ID 000519299000002