How Does Computer Vision Benefit Healthcare Industry?
Computer vision has a positive impact on the healthcare industry. It assists in timely diagnoses and efficient treatment of patients.
COVID-19 pandemic saw a spike in digitization and the use of AI in the field of healthcare. Technology aided and accelerated vaccine production, contact tracing, and predicting protein structures. Computer vision is a subcategory of artificial intelligence and machine learning that enables computer systems to analyze images and interpret meanings. Computer vision almost replicates human vision that observes and draws insights from 3D objects around them.
It has extensive applications in the field of healthcare, from diagnosing to treating diseases, this technology ensures to improve the healthcare sector.
Accuracy and Early Detection
Computer vision uses image processing to examine X-rays and other health reports to provide an accurate diagnosis. It helps minimize human errors and fast-tracks the early detection of diseases. The human eye has its limitations. Thus, it is bound to often miss specks of details during a medical examination. Computer vision algorithms present a precise observation and do not miss minor details.
Many diseases like cancer are to be recognized in their early stage to receive better results. Computer vision enables the early detection of diseases. This results in faster treatment could save many lives. The University of Buffalo developed an app in 2018 – ‘EarlySee’ that helps in the early detection of Autism Spectrum Disorder (ASD) in children. The app uses facial recognition and tracks behavior and gaze, which is different in children with ASD.
The radiology department is a prominent beneficiary of computer vision technology. Hospitals are always packed with thousands of health reports flowing from radiology. Monitoring, CT, MRI scans, and X-rays often takes a lot of time. Computer vision reduces this time. Another boon is its ability to create interactive 3D prototypes out of medical images. It helps in identifying tumor-progressions and understanding a patient’s condition better.
Touch Surgery, now a part of Medtronic, is an app that uses computer vision with augmented reality to train surgeons. This app is specifically useful in laparoscopic surgeries, which are based on images. The app guides in surgical procedures and enables learning, and helps in practicing surgeries to get prepared.
Computer Vision makes it possible to store images while operating and then go back to it for reviews. The image processing abilities help identify surgical equipment and provide real-time images during surgeries.
It might lead to a future where augmented reality and computer vision produces warnings and updates on the surgery progressions. This helps reduce human errors and increases the chances of saving lives.
Computer Vision enables personalization of doctor-patient interaction with better personal attention given to each patient. With this technology in place, health professionals can save time from going through patient records and scan reports. They can hence focus more on caregiving and understanding their patients.
Computer vision can improve medical procedures and deal with doctors’ shortage in many places. With computer vision algorithms taking up a larger part of diagnosis and treatment, physicians can devote their valuable time to more rational work.
Blood Loss Measurement
Computer vision, along with machine learning techniques, can estimate blood loss during a hemorrhage by analyzing suction-canister and sponge images. This helps in reducing postpartum hemorrhaging. Triton by Gauss Surgical is such an AI-driven platform that promises an accurate calculation of blood loss.
For e.g., Orlando Health Winnie Palmer Hospital invests in Triton to save and detect blood loss, especially during C-sections.
The Future of Healthcare
The Healthcare sector has a visibly great future with developing AI solutions and deep learning technologies. Augmented reality and computer vision will serve a major role in diagnosis and treatment. The present scenario has digitally equipped research centers and pharmaceutical sectors to accentuate drug development.
Embracing these technologies is imperative for the healthcare industry to deal with a Covid-19 like situation in coming years.