December 5, 2012 at 19:08Watson Continuing Education
In 2011, the IBM Watson supercomputer began its work in the field of healthcare: as part of a collaboration with WellPoint and Memorial Sloan-Kettering Cancer Center medical organizations, it seeks to help doctors diagnose diseases and select treatment methods.
But, like any doctor (and all of us) , Watson needs continuous training, and he enters the Cleveland Clinic Medical College .
At Cleveland Clinic College, medical students teach Watson to more accurately and efficiently diagnose and prescribe treatment. At the same time, students themselves gain new skills in using innovative technologies such as Watson in their future profession.
“Tomorrow's doctors will use new tools and technologies to complement their own knowledge and experience in the field of medicine. Technology will never replace a doctor, but it can make us better. " James Stoller, MD, chair of the Cleveland Clinic Institute of Education.
College students, when determining what the patient is sick with and how to treat him, use a simple visualization technique that schematically shows a causal relationship between the patient’s symptoms and potential diagnoses. Based on such notes, IBM researchers create the WatsonPaths program, which is both a learning tool for the supercomputer and for students. In the learning process, the program gives a description of the patient and what he complains about. Students and Watson, building logical chains (for example, clumsiness in movements and trembling hands may indicate ataxia), try to make the correct diagnosis.
After completing the assignment, students compare their conclusions with the findings of the computer. If the decision schemes and, as a result, the answers differ, students can make additional comments. One of the certainly useful features of the program is the ability to teach Watson to read the necessary meanings of words, thus improving his ability to correctly "understand" natural speech.
If the student’s response matches Watson’s, the relationship between “cause and effect” is shown in bold, indicating the most probable chain.
When performing tasks, the supercomputer is guided by the huge volumes of medical books and magazines loaded into it.
According to the results of the training, researchers expect that Watson will be able not only to collect and process all available data regarding a specific problem and give a correct diagnosis, but also that he will be able to conveniently and easily show doctors a chain of reasoning and sources on the basis of which he gives an answer .
But, like any doctor (and all of us) , Watson needs continuous training, and he enters the Cleveland Clinic Medical College .
At Cleveland Clinic College, medical students teach Watson to more accurately and efficiently diagnose and prescribe treatment. At the same time, students themselves gain new skills in using innovative technologies such as Watson in their future profession.
“Tomorrow's doctors will use new tools and technologies to complement their own knowledge and experience in the field of medicine. Technology will never replace a doctor, but it can make us better. " James Stoller, MD, chair of the Cleveland Clinic Institute of Education.How is the training going?
College students, when determining what the patient is sick with and how to treat him, use a simple visualization technique that schematically shows a causal relationship between the patient’s symptoms and potential diagnoses. Based on such notes, IBM researchers create the WatsonPaths program, which is both a learning tool for the supercomputer and for students. In the learning process, the program gives a description of the patient and what he complains about. Students and Watson, building logical chains (for example, clumsiness in movements and trembling hands may indicate ataxia), try to make the correct diagnosis.
After completing the assignment, students compare their conclusions with the findings of the computer. If the decision schemes and, as a result, the answers differ, students can make additional comments. One of the certainly useful features of the program is the ability to teach Watson to read the necessary meanings of words, thus improving his ability to correctly "understand" natural speech.
If the student’s response matches Watson’s, the relationship between “cause and effect” is shown in bold, indicating the most probable chain.
When performing tasks, the supercomputer is guided by the huge volumes of medical books and magazines loaded into it.
According to the results of the training, researchers expect that Watson will be able not only to collect and process all available data regarding a specific problem and give a correct diagnosis, but also that he will be able to conveniently and easily show doctors a chain of reasoning and sources on the basis of which he gives an answer .