With machine’s capabilities to precisely interpret the visual information, computer vision has opened a lot many potential opportunities by improving diagnosis, treatment, and patient care.

Some of the potential use-cases where computer vision can be highly utilized are defined below:

• A key application in healthcare is the analysis of medical images. Algorithms powered by computer vision can evaluate images like X-rays, MRIs, and CT scans, identifying abnormalities that might be overlooked by human observation. This enables earlier detection and more effective treatment of conditions like cancer and heart disease.
• It can also be used to develop wearable devices that can monitor patients’ vital signs and detect changes that may indicate a health problem. This can enable earlier intervention and prevent serious health complications.
• As another use-case, it is also getting used to reduce the risk of complications and improve patient outcomes during the surgical operations. Here computer vision is leveraged to guide robots in performing delicate surgical procedures with greater precision and accuracy than is possible with traditional methods.
• In addition, computer vision is being used for patient monitoring also where the AI-powered cameras can track patients’ movements, alerting medical staff to falls or irregularities in patient behavior, especially in elderly care. AI models hence developed take real-time CCTV feed to monitor the patients.

As a conclusion we can consider computer vision to be potential candidate which can transform healthcare by improving diagnosis, treatment, and patient care.Anurag Sethi