Computer vision, often known as CV for short, is a branch of research that employs suitable methodologies and cutting-edge technology to aid computers in recognising and extracting information from digital imagery such as photographs and videos. This field of study is sometimes referred to as computer vision. The most current technological advancements have been introduced into the healthcare business in order to enhance the quality of services provided to individuals at this time. Not only are they not saving the time of medical personnel, but they are also saving the lives of the individuals they treat. In addition, artificial intelligence (AI) technology has been included into the healthcare system in order to facilitate the identification and diagnosis of patients’ problems with greater precision, as well as to make it simpler for medical professionals to comprehend the circumstances surrounding the patient under consideration. Additionally, it assists medical professionals in administering the appropriate treatment at the right time, taking into account the present condition of the patients.

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Virtual Health Assistance Using Medical Computer Vision

  • Nalineekumari Arasavali,
  • Chatti Divya,
  • Dannina Navya,
  • Satyala Sai Srujana

摘要

Computer vision, often known as CV for short, is a branch of research that employs suitable methodologies and cutting-edge technology to aid computers in recognising and extracting information from digital imagery such as photographs and videos. This field of study is sometimes referred to as computer vision. The most current technological advancements have been introduced into the healthcare business in order to enhance the quality of services provided to individuals at this time. Not only are they not saving the time of medical personnel, but they are also saving the lives of the individuals they treat. In addition, artificial intelligence (AI) technology has been included into the healthcare system in order to facilitate the identification and diagnosis of patients’ problems with greater precision, as well as to make it simpler for medical professionals to comprehend the circumstances surrounding the patient under consideration. Additionally, it assists medical professionals in administering the appropriate treatment at the right time, taking into account the present condition of the patients.