So, I experienced the stories alongside people working in AI-related fields (personally, I’m a data scientist). I read AI 2041 as part of a group - the Women in Data book club, specifically. Each of Quifan’s stories is followed up by an analysis (sort of a mini-lecture) by Lee. He partners with internationally prominent sci-fi writer Chen Qiufan to illustrate technology trends the authors believe have “a greater than 80% likelihood of coming to pass” by 2041. Kai-Fu Lee, a computer speech recognition expert, is a former head of Google China and alumnus of additional tech giants.
Spanning five continents and numerous topics in science and technology, the book imagines various futures made possible or influenced by advances in artificial intelligence (AI). Over time, AI may become capable of acting as your general practitioner or family doctor.AI 2041: Ten Visions for Our Future is a hybrid fiction-nonfiction book, consisting of 313 pages of short stories with 152 pages of explanatory material. We will eventually see diagnostic AI for general practitioners, one disease at a time, to gradually cover all diagnoses. Further trials are needed, but as these technologies are deployed and more data is gathered, the AI stands to outclass doctors. Studies have shown that AI trained on sizable data can outperform physicians in several areas of medical diagnosis regarding brain tumors, eye disease, breast cancer, skin cancer and lung cancer. I anticipate diagnostic AI will surpass all but the best doctors in the next 20 years.
Doing all of this well is beyond human capabilities. AI can take into account everyone’s data to personalize treatment accordingly, or keep up with a massive number of new drugs, treatments and studies. When there is enough data, AI can do a much more accurate job of diagnosis and treatment than human doctors by absorbing and checking billions of cases and outcomes. This will redefine healthcare as a data-driven industry, and when that happens, it will leverage the power of AI - its ability to continuously improve with more data.
The healthcare sector is seeing massive digitization of everything from patient records and radiology data to wearable computing and multiomics. Over the coming decades, we can expect medical diagnosis to evolve from an AI tool that provides analysis of options to an AI assistant that recommends treatments.
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