Artificial Intelligence is unstoppable, so where do those on the front lines of healthcare go from here?

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I'm faced with a breast cancer patient, and I come up with the patient's treatment plan in 10 seconds because I have the guidelines in my head.

If it's a patient with lung cancer, or lymphoma, my intelligence is definitely not enough, even if I have ten guidelines in my hand, it's too late to read them, which requires artificial intelligence.

--Jiang Zefei, executive director and secretary general of the Chinese Society of Clinical Oncology (CSCO)

The other day Lilac Morning Read reported on the news about 'the first robotic heart valve surgery in the United Kingdom to storm out of the country'.

This story seems quite absurd, but who knows if it will really happen to us in the future?

Today we're going to discuss the topic of 'artificial intelligence + healthcare'. Any new technology is always questioned when it is first invented, and AI is no exception.

Can AI bring about a change in the global healthcare landscape? Can oncology assistants really provide effective help to doctors? These are questions that remain to be answered by future practice.

Artificial intelligence + healthcare =?

Artificial intelligence is the science of revealing insights from unstructured data through natural language processing and machine learning. It can be applied in any field, such as AI robotics, big data analytics and the like.

The combination of AI and healthcare is beneficial in helping doctors and patients to solve medical problems, and it is an important area that the whole world is currently researching and exploring.

Internet giant IBM must be no stranger, today we borrow IBM's flagship product - artificial intelligence medical system Watson Health to peep under the new mode of artificial intelligence plus medical.

Watson for Oncology (hereinafter referred to as WfO), trained by oncologists at Memorial Sloan Kettering Cancer Center (MSKCC), evaluates patients' clinical data, judges and matches the corresponding clinical trials, and then generates a personalized treatment plan for the patient by reviewing relevant reference materials. After the treatment plan is obtained, the physician discusses and determines a reasonable treatment plan for the patient.

Watson for Genomics (hereinafter referred to as WfG), a collaboration between Watson Health and multiple genetics labs and sequencing companies, is used to decipher genomic data for a variety of cancer types to provide accurate clinical oncology support.