A Turkish social media expert said artificial intelligence (AI) brings a new vision to the healthcare sector. "Artificial intelligence brings revolutionary developments in the field of health, as in all areas of life," Deniz Unay told media. "Machine learning and assisted artificial intelligence have features that can develop an entire health system within the framework of a new vision," Unay said. Unay said the AI applications support doctors' diagnostic decisions and automate certain tasks underlining AI's rise in healthcare applications. AI can help better and more accurate detection of symptoms, analyzing the side effects of treatments, and processing large amounts of data produced by healthcare facilities, he said.

"The translation of letters and words into a stenographic language by producing new results with analysis data will surely serve humanity in every field where life integrates with technology," Deniz Unay, a social media specialist, told Anadolu Agency. Stenography is a system of rapid writing using symbols or abbreviations instead of words or phrases, and it increases brevity of writing when compared to longhand writing, which is widely used today. Stenography derives from stenos (narrow) and graphein (to write) in Greek language. "Many recent studies have shown that artificial intelligence and stenography systems are used together in the creation of special alphabets in the encryption process," Unay said. Emphasizing the importance of stenographic language created by artificial intelligence in military strategy planning, he argued the association brings security and privacy issues one step further.

Artificial Intelligence (AI) offers acceleration in the treatment process of patients as it can estimate and analyze data quickly when symptoms occur, according to an expert. Misdiagnoses experienced during examinations performed in diagnosis stages of diseases will significantly drop with AI, a social media specialist told Anadolu Agency. Deniz Unay said the process will take place when thousands of similar cases with patient history are analyzed in seconds and physician errors will be minimized. "According to a study conducted in the U.S., 20% of the medical errors occurred during the initial examination due to insufficient time for the patient-physician interviews, and these errors caused wrong treatment processes," Unay said. "Considering an estimated annual figure of around 87,000 cases around the world, the fact that artificial intelligence can estimate and analyze data quickly reveals that it can accelerate treatment processes," the expert opined.