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Machine learning will improve automatic recognition of hypotheses in Practicum Script

OcMaLe, an acronym for Octopoda Machine Learning, will review the hypotheses of each professional in only 2 seconds.

“My name is OcMaLe, an acronym for Octopoda Machine Learning®. Octopoda because, according to my owner, the current level of my artificial intelligence is analogous to that of an octopus, and machine learning because this is how machines that learn from interaction with humans or other machines are currently named. Created and still under development by a group of computer scientists, lexicographers, philologists, and physicians from the Practicum Institute, my goal is to improve the automatic recognition of hypotheses raised by users of the clinical simulation tool Practicum Script.” This is the message that Practicum Script users will soon see on the screen.

Madrid, October 15, 2019. Neurosciences and genomics estimate that the octopus is the first living being with the potential to achieve human intelligence by evolutionary pressure. The octopus has three hearts and eight tentacles with their own brain. These animals also have short-term and long-term memory, an extraordinary sense of vision and touch, and a learning mechanism that has not yet been deciphered. OcMaLe will work 365 days a year and 24 hours a day, assessing the hypotheses of diagnoses, treatments, or complementary tests, and analyzing their plausibility in relation to the clinical case presented. The response time of the OcMaLe will be 2 seconds.

"Basically, it is about educating the software to improve autonomy," says Dr. Hornos, president of the Practicum Institute. How? Through contributions by the users. "Machine learning is committed to turning machines into smarter devices to better respond to our needs," continues Dr. Hornos. OcMaLe may not succeed in understanding the hypotheses in up to 18% of the time, but within 24 business hours, the users will receive a message with the correction, and their performance score will change accordingly.

OcMaLe, who knows from other machines that medical error is the third cause of human morbidity and mortality and that humans are the first ones to kill the other species, will provide students with immediate feedback after they formulate hypotheses. According to Dr. Hornos, "It is not the voice of the professor to his disciple, but that of his peers living in a collaborative learning space."

Augmented intelligence
Practicum Script, thus, becomes the first clinical reasoning training simulator with an integrated machine-learning device. "Think – OcMaLe would say – that this is the most advanced procedure to offer correct and instant feedback to 82% of yours and your colleagues' inputs, received, of course, from 28 countries and in three languages." Through a constantly improving algorithm, "the brain of this learning software thinks, provides solutions, and – we could say – converges with human intelligence," concludes Dr. Hornos.

If you wish to contribute with funds for this research or have any questions related to this implementation, OcMaLe will not answer your messages, but the project manager will. Write to [email protected]


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