Anyone’s HEART starts racing with the mention of cancer.
This is as difficult to DETECT it as to TREAT it. The earlier you find it, the easier it becomes to treat it. Most of the cases where treatments failed because it was too late to diagnose the cases. In 2018, 9+ million people died worldwide due to this deadliest disease.
Artificial intelligence is being considered a ray of hope to diagnose it better than doctors.
Let’s join me for an informational ride:-
A report by Google’s researchers and top medical centers
Google’s researchers with a team of top medical centers offered CT scans to AI-powered computers. And, the machines detected tiny lung cancer equally good or better than the doctors’ team.
A team of doctors said that computers can interpret images and recognize patterns with similar skills like humans use to read X-rays, slides, M.R.Is, CT scans, and other medical documents. You can feed piles of data into AI machines known as neural networks and they will perform superbly to recognize patterns associated with conditions like cancer, pneumonia or even a wrist fracture. With its algorithms, data you feed or a set of instructions, it provides results better than humans.
In the medicinal field, Google has already built systems to assist pathologists in reading microscope slides to detect cancer. It also helps ophthalmologists to diagnose eye diseases among diabetics.
Dr. Daniel Tse also appointed as Google’s project manager, said that we have started expanding the boundaries of basic science to look for the finest apps to work on. Further, Dr. Tse added that a computer is like a student for us. We are using a huge data set to provide training and lessons. We also use pop quizzes so that the machines will start learning about cancer and its causes.
Dr. Daniel said that they devoted a lot of time to train neural networks and received a level results when they fed 6000+ cases and got 94% accuracy.
Will AI outperform humans with its intelligence?
For now, it is not the scenario. Humans offered years to build and train the entire AI model. So, artificial intelligence has to cover a long way to outperform humans. In the above diagnosis examples, at least one radiologist was present to command the machines.
In an interview with BBC, Prof Ara Darzi (director and co-author of the CRUK (Cancer Research UK) Imperial Centre revealed that AI has a visible impact on improvising the reporting quality, but needs human intervention to feed the data.
The results are superb as humans have data and machines have great speed to screen the results faster and more accurately. This will make it possible for the patients to wait for a shorter time and get better outcomes. The early they diagnose the early they get treated.
From neural networks to machines learning
AI started with neural networks that are called the most basic type of artificial intelligence. But, the detection of fatal diseases like CANCER became possible with the help of machine learning, a branch of artificial intelligence. Machine learning teaches machines to provide results iteratively. With its ability to recognize patterns and behaviors, this technology succeeded to deliver insights like humans in the medical field.
So, what comes as a conclusion? In my opinion, both humans and machines can work together superbly. Humans have the facts and machines can work 24/7 to deliver accurate results. They complement the powers of each other. What do you think? Will AI outperform humans in medical diagnosis? Share your thoughts in the comment section.