Computer vision is defined as the ability to see things clearly at different distances, while at the same time the system must be able to recognize color. This means that the eye cannot interpret the light that has been reflected off of objects at a distance and will only see objects at close proximity by using the same filter as the eye at a longer distance. Computer vision is commonly used in medical imaging but is also used in many other fields. In fact, computer vision will probably be one of the biggest developments in the field of optics since the invention of the magnifying lens in the 16th century.
The field of optometry uses the computer vision to determine the proper eyeglass or contact lenses for a patient. Computer vision will also be used extensively in teaching the next generation of doctors how to do operations in the health care industry. In fact, computer-vision training is becoming the norm in the teaching of computer-chip technology to medical students. This means that the computer vision field is going to impact virtually every aspect of the health care industry, from research and development to the equipment that doctors use.
Computer vision is an exciting new platform that dramatically changes the way people interact with computers and information. It refers to an artificial intelligence field that uses computer hardware to recognize and extract useful information from digital images. The vision behind this technology is that computers and their networks are becoming better at recognizing images and understanding them. What exactly is computer vision and what does it do for us?
How is computer vision used in the health field?
Medical science has made great strides in the past few years when it comes to capturing and storing data about human organs and tissue, such as brain scans. These scans are then fed into a computer, which processes the information and creates a digital image of the organ or tissue in question. This process is called organ tracing or computer oceanography. These images can be stored either in person for future reference or sent to medical professionals and other specialists for interpretation.
This same technology can be applied to much more than human organs and tissue. Computer vision is used to map the human brain as well, in order to treat patients who, have brain damage and other conditions. Operating rooms now days spend a large amount of time working with computer systems to map the brain and prepare the operating room for surgery. Once the map is created and the surgeon is happy with the outcome, he or she can go into surgery. It is important that the surgical team members work together effectively using the appropriate tools, so that the outcome of the procedure will be as successful as possible.
MaxQ AI: Reinvent Patient Diagnosis Through Artificial Intelligence
MaxQ AI, is at the forefront of Medical Diagnostic AI research. They are transforming medical care by enabling physicians to give 'patient-specific care', with artificially intelligent (AI) medical insights. They are at the forefront of Medical Diagnostic AI and Predictive Disease Modification by putting together interventional drug therapies that address pre-defined molecular targets using sophisticated genetic and pharmacological mechanisms.
This is an innovative concept that has the potential to revolutionize how we care for patients. By combining traditional computer science and advanced genetics MaxQ AI will enable radiologists to take an exacting yet personalized approach to their cases. It will enable doctors to use a database of genetic data to make accurate and more effective personalized treatment decisions. It will also allow radiologists to make rapid, personalized decisions about treatments, based on previous and current knowledge about a patient's responses to previous treatments, to give them the most effective treatment possible. In a time where personalized medicine is increasing in popularity, it makes great sense for radiologists and other healthcare providers to be at the forefront of this exciting technology.
Conclusion
Computer vision is a branch of computer science which makes sense of visual data to build computers that can recognize images, or in other words, make recognizing what an image is. AI technologies are assisting to automate large amount of manual, repetitive data processing tasks for sectors such as manufacturing and healthcare. Because the computer-vision technology can automatically recognize an image, it will allow the production workers and doctors to have much more output from their work, allowing them to spend more time focusing on their job, rather than re-reading paper documents or dealing with difficult patients.
