Meetup on "Artificial Intelligence in Hearing Research and Medicine" at NIFE.

1 min read

Samuel John, CEO at OtoJig GmbH opened the event with a presentation on the role of artificial intelligence as a tool for everyday life, science and medicine.

John presented examples of how AI can be used in medical imaging. By using algorithms based on machine learning, physicians and researchers can gain valuable information and make informed decisions. In hearing research, he said, this could help in the treatment of patients, particularly by improving minimally invasive surgical techniques for cochlear implantation. In addition, AI could also play an important role in the development and improvement of medical devices, such as hearing aids.

Next, Prof. Dr.-Ing. Waldo Nogueira presented his research findings on the application of AI to speech understanding in noisy environments for cochlear implant users. He explained that conventional cochlear implants have difficulty understanding speech effectively in environments with a lot of background noise.
He notes that AI algorithms could offer a promising solution to overcome these problems. By using neural networks, AI can analyze background noise and better separate the speaker's speech from background noise. This would allow cochlear implant wearers to better understand speech and participate in conversations even in noisy environments.

Both presentations offered an insightful look at advances in the field. Both Samuel John and Prof. Nogueira showed how AI can contribute to improvement in medical research.

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