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Engineering Team Develops New AI Algorithms for High Accuracy and Cost Effective Medical Image Diagnostics

2022-04-14 - 2022-04

Medical imaging is an important part of modern healthcare, enhancing both the precision, reliability and development of treatment for various diseases. Artificial intelligence has also been widely used to further enhance the process. However, conventional medical image diagnosis employing AI algorithms require large amounts of annotations as supervision signals for model training. To acquire accurate labels for the AI algorithms -- radiologists, as part of the clinical routine, prepare radiology reports for each of their patients, followed by annotation staff extracting and confirming structured labels from those reports using human-defined rules and existing natural language processing (NLP) tools. The ultimate accuracy of extracted labels hinges on the quality of human work and various NLP tools. The method comes at a heavy price, being both labour intensive and time consuming. An engineering team has now developed a new approach which can cut human cost down by 90%, by enabling the automatic acquisition of supervision signals from hundreds of thousands of radiology reports at the same time. It attains a high accuracy in predictions, surpassing its counterpart of conventional medical image diagnosis employing AI algorithms.

Physiological signals could be the key to 'emotionally intelligent' AI, scientists say

2022-04-15 - 2022-04

Artificial intelligence (AI) is at the forefront of modern technology. Making AI 'emotionally intelligent' could open doors to more natural human-machine interactions. To do this, it needs to pick up on the user's sentiment during a dialog. Physiological signals could provide a direct route to such sentiments. Now, researchers from Japan take things to the next level with an AI with sentiment-sensing capabilities comparable to that of humans.

Deep-sea osmolyte finds applications in molecular machines

2022-04-15 - 2022-04

The molecule trimethylamine N-oxide (TMAO) can be used to reversibly modulate the rigidity of microtubules, a key component of molecular machines and molecular robots. Kinesin and microtubules (MTs) are major components of cytoskeleton in cells of living organisms. Kinesin and microtubules together play crucial roles in a wide range of cellular functions, most significantly intracellular transport. Recent developments in bioengineering and biotechnology allows for using these natural molecules as components of molecular machines and molecular robots. In vitro gliding assay has been the best platform to evaluate the potential of these biomolecules for molecular machines.

Conference of Artificialintelligence-robotics-2022

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Engineering Team Develops New AI Algorithms for High Accuracy and Cost Effective Medical Image Diagnostics

Physiological signals could be the key to 'emotionally intelligent' AI, scientists say

Deep-sea osmolyte finds applications in molecular machines

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Artificialintelligence robotics 2022

Robotics, Machine Learning and Artificial Intelligence

Conference of Artificialintelligence-robotics-2022

You have choosen currency: USD ($)

Engineering Team Develops New AI Algorithms for High Accuracy and Cost Effective Medical Image Diagnostics

Physiological signals could be the key to 'emotionally intelligent' AI, scientists say

Deep-sea osmolyte finds applications in molecular machines