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[悬赏]人工智能如何继续在医疗保健行业中打开机遇 (已翻译17%)

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英文原文:How AI Continues to Open Opportunities Within the Healthcare Industry
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admin 发布于 2017-06-26 11:12:47 (共 6 段, 本文赏金: 13元)
参与翻译(1人): cyt5969858 默认 | 原文

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The growth of artificial intelligence technology opens doors to unlimited possibilities in all sorts of industries. From self-driving cars to chatbots, AI is changing how companies innovate, customers interact, and the world is run. One area that is poised to grow significantly from AI is healthcare, for which AI technology creates a number of possibilities. Here are just a few of the areas where AI can impact the future of the healthcare industry.


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Patient Experience

Scheduling and going to the doctor isn’t always a particularly pleasant experience or an effective use of time for patients, but AI could be used in a variety of ways to improve the overall experience for patients and physicians. One of the most logistically challenging aspects is scheduling, especially for places like the operating room where patients’ lives are on the line. AI can pull in a variety of information, including doctor schedules, patient needs, and even severity of conditions to help populate a schedule. AI can also create technology like smartphone programs that use computer vision to recognize faces and medications. This could lead to the growth of telemedicine, more effective appointments, and doctors being able to manage an estimated 10 times more patients in the same amount of time. AI is also being used in medical training, such as online medical transcription courses, to ensure all healthcare employees are knowledgeable and prepared.



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Predictive Analytics

One of the biggest strengths of artificial intelligence is being able to read through copious amounts of data and organize it into something humans can use. This can have many applications in healthcare, but especially when it comes to predicting a variety of outcomes for patients. Instead of a doctor having to look through pages of patient information, the newest medical studies, and data from various diseases, AI can, in theory, pull all the information together to provide a full picture of a patient's health and potential risks. This information can be applied to a number of areas and plugged into various algorithms to predict anything from the chance of being diagnosed with a certain disease, what strain of a new drug will be the most effective in fighting an ailment, or predicting how long a patient will need to be in the hospital. The beauty in this system is that even a small change to the data, such as a new drug coming online or new research being made available, can instantly change a patient's predictions and recommendations.



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Disease Detection

Many professionals in the healthcare industry are trying to switch the mentality from simply treating sickness to preventing diseases and creating an overall healthier world. Some of the biggest AI breakthroughs could come from algorithm-driven deep learning. Teams are taking advantage of artificial intelligence—sometimes with no previous medical or biological experience. A multidisciplinary group of researchers at Stanford, including pathologists, geneticists, and computer scientists, recently developed deep learning algorithms that can diagnose lung cancer more accurately than human doctors and pathologists. The same practices can be applied to a number of other diseases that would allow doctors input patient data to the algorithm to receive accurate diagnoses, ideally before the disease has spread. These AI algorithms have the potential to revolutionize how we diagnose, treat, and prevent diseases.



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Drug Discovery

Bringing a new drug to market is a risky and incredibly expensive process that can be made easier and more effective with AI technology. These processes can be applied to many aspects of the drug development process, from analyzing existing drug data to compare formulas, outcomes, and patient patterns to theoretically testing new drug combinations before opening them up for riskier human testing. AI algorithms could also create individualized treatment plans that maximize safety and efficiency for each patient. By streamlining and automating much of the drug development process, new drugs would likely be able to come to market safely, more quickly, and less expensively.



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尽管人工智能并不能消除医疗领域中的所有风险,但它肯定会对每个领域产生巨大的影响。在短短几年内,医生和病人相互交流、诊断、治疗和预防疾病的方式可能会大不相同。

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