Precision medicine is a fast-growing field whereby medical treatments are tailored to individual patients – taking factors like genetics and lifestyle into account. A key part of this process is ...

It’s important to note that, in the domain of AI (i.e., computers that can imitate human intellect and behavior), deep learning is a subset of ML, and ML is a subset of AI. Commonly, ML algorithms ...

For the algorithm training, the participating teams had access to a large annotated PET/CT dataset. All algorithms submitted for the final phase of the competition are based on deep learning methods.

Popular deep learning algorithms There are a number of very successful and widely adopted deep learning paradigms, the most recent being the transformer architecture behind today’s generative AI ...

U of T researchers have developed a deep learning algorithm that can track proteins to help reveal what makes cells healthy and what goes wrong in disease. From self-driving cars to computers that can ...

We aimed to develop a deep learning algorithm that predicts VPI using videos of lesions. Methods: We included 346 patients who underwent thoracoscopic surgery at our department from 2015 to 2021, ...

Future trends and advancements The future holds exciting advancements in deploying deep learning algorithms on embedded platforms, edge computing, with AI at the edge, enables real-time ...

Deep learning: To further improve the accuracy of clustering, MicroAlgo Inc. utilized a deep learning method to learn a representation of the data and input it as features into the hierarchical ...