Unlocking the Potential: Biometric Traits in Healthcare with a Focus on Eye Diseases

Biometric technology has numerous applications in healthcare. Biometrics can be used to accurately identify patients, healthcare professionals, and visitors, improving patient safety and reducing the risk of medical errors. Biometric authentication can also streamline healthcare operations, reducing paperwork and improving workflow efficiency. One of the most common biometric applications in healthcare is fingerprint recognition. Fingerprint scanners can be used to identify patients and healthcare providers, ensuring that the right treatment is given to the right person. Biometrics can also be used to control access to restricted areas in healthcare facilities, such as laboratories or medicine cabinets. Another application of biometrics in healthcare is voice recognition. Voice authentication can be used to verify the identity of healthcare providers, allowing them to access patient records securely. Voice recognition can also be used to control medical equipment, such as ventilators or infusion pumps, gaining popularity in healthcare. Facial recognition can be used to identify patients and healthcare providers, and it can also be used to monitor patients for signs of distress or to track their movements. Overall, biometric technology has the potential to improve healthcare outcomes and increase patient safety. It is imperative to prioritize addressing privacy concerns and ensuring the ethical and responsible deployment of biometric systems. This study explores the application of artificial intelligence (AI) models in the recognition of various eye diseases. Leveraging diverse datasets, the performance of AI models is evaluated across different eye conditions. The aim is to assess the accuracy of these models in aiding early detection and diagnosis of eye diseases.