{"id":1608,"date":"2022-05-10T16:22:31","date_gmt":"2022-05-10T14:22:31","guid":{"rendered":"https:\/\/wp.unil.ch\/mial\/?page_id=1608"},"modified":"2022-09-15T22:19:43","modified_gmt":"2022-09-15T20:19:43","slug":"msxplain","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/mial\/research\/projects\/msxplain\/","title":{"rendered":"MSxplain"},"content":{"rendered":"\n
Explaining AI decisions in personalized healthcare: towards integration of deep learning into diagnosis and treatment planning for Multiple Sclerosis<\/h6>\n\n\n\n
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This is a Haslerfoundation<\/a> funded project under the \u201cResponsible AI\u201d program. Our ultimate goal is to evaluate the trustworthy<\/strong> behaviour of ML-based neuroimage analysis<\/strong> to support diagnosis<\/strong> and prognosis<\/strong> of Multiple Sclerosis<\/strong> patients. To this end we have established three objectives centered around engineering, physicians\/end-users and patients:<\/p>\n\n\n\n

1.<\/strong> New insights of DL-decisions<\/strong> will help us identifying any bias within our models and thus further improve them by reducing the bias.<\/p>\n\n\n\n

2. Increasing confidence, quality of decision making<\/strong> and clinical impact with new interpretability and explainability strategies to be joined by uncertainty measures of DL-models.<\/p>\n\n\n\n

3. <\/strong>Better understanding of disease progression<\/strong> using biologically interpretable measures of inflammation and degeneration.<\/p>\n<\/div><\/div>\n\n\n\n

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Investigators<\/h2>\n\n\n\n

MSxplain is an interdisciplinary and inter-cantonal project lead by Dr. M. Bach Cuadra<\/strong> <\/a>(CIBM<\/a><\/strong>, CHUV-UNIL), Prof Cristina Granziera<\/a><\/strong> (ThINK<\/a><\/strong>, University of Basel), Prof Henning M\u00fcller<\/a><\/strong> and Prof. Adrien Depeursinge<\/a><\/strong> (medGIFT<\/a><\/strong>, HES-SO Valais). The project funds two PhD candidates Ms Nataliia Molchanova<\/strong><\/a> (UNIL, HES-SO) and Mr Federico Spagnolo<\/a><\/strong> (Basel, HES-SO) and part-time software engineer Mr Roger Schaer<\/a><\/strong> (HES-SO). The research is conducted jointly with Dr Mara Graziani<\/a> (HES-SO).<\/p>\n\n\n\n

Collaborators:<\/strong> F. La Rosa (Mount Sinai Hospital), V. Raina, Prof M. Gales (Oxford University), Dr. A. Malinin (Yandex).<\/p>\n\n\n\n

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Talks and publications<\/h2>\n\n\n\n