AI is moving quickly in industries, and healthcare is no exception. But according to Damis Hasabis, CEO of Google Deepmind, what AI can do, it has limitations. While technology can do many tasks one day, which currently handles doctors, Hasabis says it will never be able to change nurses as their work is beyond data and processes, relying on human connections, sympathy and emotional support.

Speaking about AI’s ability in medicine recently, Hasabis predicted that the next five to ten years would bring some dramatic changes that the region has ever seen. He said that AI systems are already becoming part of medical practice and they are getting better in tasks that require a large amount of information to be processed. For example, machines can now read X-rays, MRIs and CT scans with high accuracy, analyze the results of laboratory tests, and even propose possible treatment plans for patients.

This ability to process complex medical data means that AI may soon become a reliable partner for doctors, which is time -consuming or repetitive. In some cases, Hasabis said, AI can also fully handle certain clinical responsibilities, freeing doctors to focus on more specific or difficult cases.

However, when asked whether the same could happen to the nurses, Hasabis said no because nursing includes more than the medical instructions to follow medical instructions or monitor the patient vital. This is a deeply contained role in human contact. Nurse not only provides physical care, but also provides comfort, assurance and emotional support, which are essential for recovery, but even the most advanced machine cannot be repeated. “AI cannot hold anyone’s hand,” he said.

Hasabis reported that a robot nurse, in principle, can do many physical functions correctly, from administering the drug to patient data recording. But what will be lacking in it is warmth, compassion and ability to connect with people in weak moments. “A robot nurse may be efficient, but it will lack human heat and compassion that defines quality care,” he said.

The Deepmind chief also said that the role of a nurse is often about creating confidence with patients and their families, understanding subtle signs that can indicate health changes, and may be emotionally present in moments of stress or fear. These qualities, he said, which make nursing irreplaceable, even if AI develops.

At the same time, Hasbis was optimistic about the methods that AI could work with the medical professionals, improving care. Quickly analyzing large amounts of medical information – from patient history to lab report – AI can help identify patterns that humans can remember, leading to earlier diagnosis and leading to more individual remedies. This will not only improve efficiency, but can also help doctors and nurses to focus more time on direct patient care.

The conversation around AI in Healthcare is not limited to Google Deepmind. Many experts are arguing about how far the technology should be allowed to go and human oversite is the most important. One of the most prominent precursors in AI, Jeffrey Hinton, often referred to as the “Godfather of AI”, recently voiced his concerns about the future of technology. In a podcast appearance, Hinton said he would not be surprised if AI systems have developed their internal languages to “think”, which humans cannot understand, which could make it difficult to track how they reach some decisions.