{"id":55782,"date":"2020-10-01T11:37:08","date_gmt":"2020-10-01T10:37:08","guid":{"rendered":"https:\/\/www.clickworker.com\/?p=55782"},"modified":"2023-10-09T21:54:43","modified_gmt":"2023-10-09T20:54:43","slug":"artificial-intelligence-in-medicine","status":"publish","type":"post","link":"https:\/\/www.clickworker.com\/customer-blog\/artificial-intelligence-in-medicine\/","title":{"rendered":"Artificial intelligence in medicine"},"content":{"rendered":"
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Big Data as the basis for reliable diagnoses, machine learning to select the best treatment, AI systems for accelerated drug development \u2013 The importance of artificial intelligence is also growing in the field of medicine. What is the potential of self-learning algorithms in the healthcare sector? <\/p>\r\n\r\n\r\n
Artificial intelligence<\/a> is prevalent in many areas today. In the field of medicine, powerful AI software has become indispensable. AI is of particular help in the following areas: <\/p>\r\n\r\n Big Data<\/a> helps provide fast and reliable diagnoses. This is of particular benefit to patients with rare diseases, because it helps prevent long periods of suffering. Indeed, the rarer a disease, the less likely it is that patients will find a doctor with specialized knowledge. Discovering the true cause can therefore take a long time. A patient suffering from a rare disease sees an average of seven doctors and has to wait an average of five years for the diagnosis to be confirmed. To identify the complex clinical patterns of such diseases, AI helps those physicians who are not experts for the disease in question. <\/p>\r\n\r\n\r\n\r\n\r\n The benefits of using artificial intelligence in diagnostics are obvious. Computers can analyze data much faster and more accurately. And the algorithms<\/a> will become even better, the greater the amount of training data that is made available to them. In some sub-areas, AI already achieves better results than human analysis. <\/p>\r\n\r\n However, one thing is clear: AI systems cannot substitute medical decisions, they can only support them. Artificial intelligence provides physicians with highly specialized tools. But none of these tools can take the place of a doctor. The evaluation of extensive amounts of data enables the physician to select the appropriate diagnosis or therapy from the suggestions made by an AI system. This saves time and also ensures that all possible alternatives (e.g. for therapies) are carefully assessed by the expert. <\/p>\r\n\r\n Pharmaceutical research essentially consists of revealing correlations between actual effectiveness and disease treatment. When analyzing these correlations, artificial intelligence can perform many routine tasks \u2014 usually better and more accurately than humans. A decisive advantage here is the acceleration of active ingredient production. While this takes four years on average, an initial success with artificial intelligence was achieved within only twelve months. <\/p>\r\n\r\n This first active ingredient developed using AI is called\r\n DSP-1181<\/a>. It is based on the machine comparison and analysis of different molecular compounds. This was achieved by using artificial intelligence to link the extensive information in databases with the patients’ unique genetic factors. <\/p>\r\n\r\n Artificial intelligence evaluates certain signals and provides information about the presence of diseases. The possibilities for the application of AI are basically unlimited. Today, AI is being used in many medical fields \u2013 usually to complement decisions or as a basis for medical treatment. <\/p>\r\n Examples: <\/p>\r\n This is where image, speech and text recognition play a key role. All the applications existing today have one thing in common, they are based on so-called weak artificial intelligence. These include systems that are capable of learning and thus of self-optimization, but ultimately have a limited range of application. They are always programmed to solve comparable tasks. <\/p>\r\n\r\n\r\n
Artificial intelligence needs training. High quality AI training data<\/a> is provided by the Crowd. Ask clickworker. <\/blockquote>\r\n\r\n \r\n\r\n\r\n
AI prevails over doctors <\/h2>\r\n\r\n
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More effective drugs thanks to AI?<\/h2>\r\n\r\n
Dreams of the future: Efficient AI in medicine<\/h2>\r\n\r\n
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