Cancer screening is a highly contentious subject in the field of medicine. An analysis of publicly available data reveals numerous points of view, often based on a limited amount of valid information. The ideal age ranges for mammography screening, as well as the value of the procedure itself, remain debated. Similarly, the usefulness of lung or prostate cancer screening is still a question. Recommendations and decisions for cancer screening should be grounded in reliable evidence rather than good intentions, presumptions, or supposition. Understanding the underlying ideas and presumptions is essential in order to fully understand the present challenges related to testing for blood, prostate, and breast cancers. The probable financial, legal, and radiation safety impacts of entire-body CT or PET cancer screening will be covered in this paper. The patient’s body is scanned and images are preserved. Now using PET/CT abnormalities or cancer tissues are detected in the images. The body parts affected by cancer are localized. Eye disease screening should also be included in this. Similar to cancer screenings, eye disease screenings must be based on solid evidence. Detecting conditions such as glaucoma, macular degeneration, and diabetic retinopathy early can significantly impact patient outcomes. Incorporating machine learning algorithms in eye disease screenings can enhance the accuracy and efficiency of predictions, potentially leading to better patient care and management. By understanding and addressing these challenges, we can improve the reliability and effectiveness of both cancer and eye disease screenings.

In this research work, CT and PET/CT scanners used for cancer detection, identification, and therapy monitoring. Depending on the visualized symptoms, the patient may choose to take precautionary steps. It is designed for the identification of many cancers, such as blood, breast, bladder, and kidney cancer. Detection, diagnosis, and treatment monitoring of cancer are all made possible by CT and PET/CT scanners. Additionally, these imaging technologies can be employed for the detection and management of eye diseases, such as glaucoma, macular degeneration, and diabetic retinopathy. Patient and medical community awareness of both cancer and eye disease symptoms and the use of CT scans are essential for early identification. Acid reflux can cause false alarms on PET/CT. Advanced ocular imaging techniques are vital for assessing the progression of eye diseases and determining an appropriate treatment. The utilization of automated information and gateways into clinic histories made available to patients has enhanced clinic and patient access to crucial medical information, improving the management and treatment outcomes for both cancer and eye diseases.

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