Slate, Barron's report, Stat's Casey Ross and Ike Swetlitz found that IBM strongly promoted Watson's tumor diagnosis capabilities, but in fact the efficacy was less than expected, indicating that IBM did not thoroughly evaluate the challenges of applying to hospitals around the world, in order to boost revenue Having rushed to release new products.
Watson collaborated with the Memorial Sloan Kettering Hospital in New York, USA to study cancer patients. After obtaining the medical record of the patient, Watson will provide a diagnosis based on the estimated database of the doctor's medical database. However, Watson cannot explain why it is better to recommend one therapy than the other. Not only that, Ross and Swetlitz also found that chemotherapy is suitable for patients with cancer spreading to the lymph nodes, but Watson suggests that patients who have not yet spread to the lymph nodes will also undergo chemotherapy. They believe that Watson cannot improve the quality of medical care.
Extended reading:
In recent years, IBM has frequently talked about Watson. In the past five years, 200 of the company's press releases have been titled Watson, and Huasheng is the core growth department. It is also the future value of IBM. But James Kisner of Jefferies made a pungent criticism that Watson was defeated in the artificial intelligence (AI) campaign and could not create shareholder value.
Kisner predicts that Amazon, Microsoft, Apple, Facebook, Google, and several start-ups will outperform IBM in the AI ​​market. In the best case, IBM can barely recover the cost of capital. In the next few years, Watson is unlikely to make a meaningful contribution to the surplus.
Previously, IBM and the MD Anderson Cancer Center collaborated to make Watson turn into a cancer doctor and ended up failing. Kisne uses this as an example to show that it is difficult for Watson to expand its use. After MD Anderson's $60 million, he found that Watson is not ready for clinical use. During the learning process of Watson, it is necessary to input data continuously, but the preparation materials are strictly regulated. After MD Anderson replaces the software system midway, Watson cannot interact with the new database, and additional integration is required to operate.
The TechCrunch article stated that Watson is a hyped marketing tactic, deep learning and GPU operational flaws, and data preparation requirements are extremely high.
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