Latest case study of AI image analysis achieving diagnostic accuracy of over 99%

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The latest AI image analysis technology has dramatically improved diagnostic accuracy in the medical field. AI diagnostic systems that utilize deep learning can now detect even minute lesions that the human eye would easily overlook with high accuracy.

Compared to conventional diagnostic systems, AI image analysis has achieved excellent results, especially in the early detection of lung cancer. By complementing the parts that previously relied on the doctor's experience and intuition with objective judgments based on vast amounts of medical data, the certainty of diagnosis has improved. In addition, by linking with cloud technology, the introduction cost of AI image diagnostic systems has been significantly reduced. Even small and medium-sized medical institutions can now provide advanced diagnostic support.

Another major advantage is that AI programs specialized for the type of image and the characteristics of the lesion can be selected according to the needs of each medical institution. By understanding the characteristics lebanon whatsapp number data of each program and using the optimal tool, doctors can now make more accurate diagnoses.

Such advances in AI technology have improved the quality of medical care and contributed to reducing the burden on doctors.


1-2. 24-hour AI chatbots transform medical consultations
The introduction of AI chatbots into the medical field has made it possible to respond to medical consultations 24 hours a day, 365 days a year. In particular, the conversational AI platform "Cognigy" has significantly reduced the burden on both hospitals and patients.

AI chatbots provide a groundbreaking solution to the traditional issues of responding to inquiries by phone and crowded medical reception desks. They also support voice operation and are easy to use even for elderly people.

In addition to automating medical appointments and vaccination reservations, linking with RPA makes it possible to refer to appointment calendars and provide optimal responses based on patient information. In addition, they have also realized the automation of online medical consultations, from listening to symptoms to providing diagnostic advice.

An important point is that they can be seamlessly handed over to human operators or doctors as necessary, and previous conversation data can also be utilized. This allows for flexible responses according to the patient's situation.