6. Artificial intelligence in neurology

CME-certified course
CME points: 3 x 2
Modules: 3
Learning time: 3 x 45 minutes
Speaker: Prof. Heinz Wiendl

On demand

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In today's dynamic medical landscape, a sound understanding of artificial intelligence (AI) is crucial for neurologists. After all, the various AI technologies offer a wide range of applications, from diagnostic support to personalized medicine, and thus have the potential to revolutionize neurological care.

This course offers you a comprehensive and practice-oriented introduction to the application of AI in neurology and prepares you for the challenges and opportunities of this exciting field.

An in-depth knowledge of how AI works is important to enable neurologists to confidently use innovative approaches to imaging interpretation and data analysis to develop more accurate diagnoses and customized treatment plans for their patients. Equally relevant are the ethical and data protection issues associated with the use of AI in clinical practice. In addition, neurologists should be aware of current and future developments in AI-assisted neuroscience research, particularly in the field of neuroimmunology.

This course covers these and other exciting topics in the 3 modules "Artificial intelligence in neuroscientific research", "Optimisation of prognosis and treatment by artificial intelligence" and "Artificial intelligence in neuroimmunology".

you will be able to explain the advantages of AI-supported imaging.
you will understand how AI models are used for the integrated, multimodal diagnosis of neurological diseases.
you will be able to explain how neurological patients benefit from the use of AI technologies.
you will know useful AI tools that can simplify everyday practice and relieve the burden on specialists.
you will be able to weigh up the benefits and ethical challenges of AI.
you will be able to explain which new research approaches AI is advancing in the field of neuroimmunology.
you will know how AI can contribute to the treatment of multiple sclerosis.
you will understand how biomarkers can be utilised even more effectively with the help of AI.

Biography

Dr. Heinz Wiendl holds a Doctor of Medicine (M.D.) and has been a dedicated university professor and active in the healthcare field for over 25 years. Specialising in neurology, Dr. Wiendl has made significant research contributions with more than 700 publications. He is committed to supporting medical professionals and continuing to innovate in his endeavours.

Educational background

Doctor of Medicine, University of Erlangen-Nürnberg, Duke University, Basel University

Our courses are CME-accredited by the Medical Association of Hessen. Our courses also offer European CME points (ECMEC®s).

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Valmed A(I)cademy® is a digital learning platform providing doctors and medical professionals with specialist knowledge about AI in everyday medical practice. We offer CME accredited courses in various specialist areas for both beginners and experts. The content of the courses is designed to be product- and service-neutral. The scientific directors and the instructors disclose potential conflicts of interest to the participants. The courses may be sponsored, which is disclosed on a course-specific basis, as are the respective total expenses.

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