The Reality of Artificial Intelligence in Healthcare

When we talk about artificial intelligence (AI), we usually think of robots or sophisticated computers with their conscience. In reality, the AI ​​is already among us and in a more systematic way than we typically believe. For example, AI is behind the personalized advertising that appears when we surf the Internet. Health is not on the fringes of this technological boom, and as an example of this, we are going to review various applications of artificial intelligence in Medicine.

Salient Applications of AI in Healthcare

Aids in Diagnosis and Treatment

Artificial intelligence gives machines the ability to “reason and learn.” Two capabilities are beneficial in clinical diagnosis. For example, a computer program can analyze the photo of a spot on the skin and compare the probabilities that it is a melanoma with its database. Similar applications are being developed for many other diseases, although for the moment AI complements and strengthens the diagnosis of doctors.

Treatment planning would also be another strong point of AI, based on all the patient information and the development of thousands of similar cases, the most effective treatment could be planned.

AI and iOS Development

Apple Smartphones are providing one of the most significant advantages to AI and iOS developers in USA. The reason I am talking about iPhones is their premium nature and closed software. The integration of AI with iOS mobile apps provide healthcare professionals with amazing tools and features to cater to patients and hospital management. We have created mobile apps using AI algorithms to provide utility and reliability on digital solutions.

Robotic Caregivers

A robotic nurse? It seems that it will be one of the keys to assisting the elderly and dependent patients in the future. Currently, robotic pets have been developed for therapeutic purposes to help Alzheimer’s patients. Robotic pets stimulate patients’ brain functions by delaying cognitive problems, which in turn improve quality of life and reduce dependence on social services.

On the other hand, the use of telemedicine is already helping to avoid unnecessary trips to the medical centre and allow greater personal autonomy.

Ease the Burden on Doctors

Analysis tests, radiographs, CT scans, data entry, and other mundane tasks can be performed more quickly and accurately if performed by robots. Perhaps in the future, the simple cases will remain exclusively in the hands of AI, and human doctors will only deal with the more complicated ones.

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