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Utilizing computer vision for facial behavior analysis in schizophrenia studies: A systematic review.

Author: BoazakMina, CliffordGari D, CotesRobert O, GrinerEmily L, JiangZifan, LuskusMark, RadAli Bahrami, SeyediSalman

Research Support, Non-U.S. Gov'tResearch funding provided by government agencies outside the United States.
Systematic ReviewA review that systematically collects, evaluates, and integrates relevant research to answer a specific research question.
Research Support, N.I.H., ExtramuralResearch funding provided by the NIH to external research institutions and researchers.
Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.

Overview

Computer vision-based measurement of facial expressions holds promise for adding objectivity to the evaluation and diagnosis of schizophrenia, a severe psychiatric disorder that causes significant social and functional impairment. Currently, the diagnosis relies heavily on subjective information, making computer vision a valuable tool for improving diagnostic accuracy.
Paper Details　
Original Abstract of the Article :
Schizophrenia is a severe psychiatric disorder that causes significant social and functional impairment. Currently, the diagnosis of schizophrenia is based on information gleaned from the patient's self-report, what the clinician observes directly, and what the clinician gathers from collateral info...See full text at original site
Dr.Camel IconDr.Camel's Paper Summary Blogラクダ博士について

ラクダ博士は、Health Journal が論文の内容を分かりやすく解説するために作成した架空のキャラクターです。
難解な医学論文を、専門知識のない方にも理解しやすいように、噛み砕いて説明することを目指しています。

* ラクダ博士による解説は、あくまで論文の要点をまとめたものであり、原論文の完全な代替となるものではありません。詳細な内容については、必ず原論文をご参照ください。
* ラクダ博士は架空のキャラクターであり、実際の医学研究者や医療従事者とは一切関係がありません。
* 解説の内容は Health Journal が独自に解釈・作成したものであり、原論文の著者または出版社の見解を反映するものではありません。


引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992987/

データ提供：米国国立医学図書館（NLM）

Facial Expressions: A Window into Schizophrenia

Schizophrenia is a complex mental illness that affects a person's thoughts, feelings, and behaviors. Diagnosing schizophrenia can be challenging, as it often relies on subjective information from the patient and their caregivers. This research explores the potential of using computer vision to analyze facial expressions as a more objective tool for diagnosing and evaluating schizophrenia. The researchers conducted a systematic review of existing studies that used computer vision to analyze facial behavior in individuals with schizophrenia. They found that computer vision techniques can be used to identify subtle facial expressions that may be indicative of schizophrenia. However, they also noted that more research is needed to develop reliable and validated tools for clinical use.

Computer Vision: A New Perspective on Schizophrenia

This research highlights the potential of computer vision as a new tool for studying and diagnosing schizophrenia. It's like using a magnifying glass to examine the intricate details of a desert landscape, revealing patterns and structures that might otherwise go unnoticed. The researchers suggest that computer vision could provide a more objective way to assess facial expressions, which could be valuable for both diagnosing and evaluating the severity of schizophrenia.

Schizophrenia: A Journey of Understanding

The journey to understanding schizophrenia is ongoing. This research offers a new perspective on this complex illness, suggesting that computer vision could play a significant role in diagnosis and treatment. It's like discovering a new map that can help us navigate the challenging terrain of schizophrenia with greater clarity and understanding.

Dr. Camel's Conclusion

Computer vision offers a promising new approach to studying and diagnosing schizophrenia. It's like using a compass to navigate the vast and complex desert of mental illness. While more research is needed to develop reliable and validated tools, the potential of computer vision for improving the diagnosis and treatment of schizophrenia is exciting.

Date :
  1. Date Completed 2022-04-14
  2. Date Revised 2022-06-21
Further Info :

Pubmed ID

35395049

DOI: Digital Object Identifier

PMC8992987

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PICO Info
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Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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