Abstract :
It is well explained and proven the kind of impact that Artificial Intelligence (AI) has in the medical world. Especially in the field of diagnosis and prognosis AI has been found to be a very interesting tool. Diagnosis is the first and most important step as a part of the medical procedure. If the diagnosis is not accurate or not effective, the later stages of treatment are also impacted, and procedure becomes non-effective as an overall result. As far as the medical world is concerned, diagnosis majorly pertains to imaging modalities like Ultrasound, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) and X-RAY. With the extensive research happening in the medical world today, and with the use of AI tools, a diagnosis can be made faster and with more accuracy. AI is widely used in signal processing, image processing, automating systems and processes. It is also used for analysing large sets of data and others alike. Hence, out of all other domains where AI is applied and used nowadays, medical diagnostics is one of the frontrunners
