Results 231 to 240 of about 4,042,759 (279)

An interpretable and balanced machine learning framework for Parkinson's disease prediction using feature engineering and explainable AI. [PDF]

PLoS One
Nayan NM, Rana AM, Islam MM, Uddin J, Yasmin T, Uddin J.   +5 more
europepmc   +1 more source

Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directions. [PDF]

Front Digit Health
Daghir-Wojtkowiak E, Alfaro J, Mastromattei M, Palkowski A, Stares M, Roca-Umbert A, Krajnc A, Leoni R, Boland A, Nourbaksh A, Kallor A, Ducki C, Venditti D, Montesano C, Cipriani C, Faria D, Pflieger D, Zago E, Bardet E, Serrano F, Jeanneret F, Alouges D, Yin L, Coquelet E, Bacquet A, Bonchi F, Maiorino F, Torino F, Bedran G, Long JA, Balbi L, Guyon L, Bevilacqua L, Fiorelli M, Wagner MC, Reyes M, Roselli M, Silva MC, Waleron M, Dovrolis N, Filhol-Cochet O, Um IH, Wolflein G, Eugénio P, Bazelle P, Golnas P, Thorpe P, Bove P, Borole P, Bernardini R, Kumar R, Cicconi R, Kaltenbrunner S, Gravina S, Brezar S, Symeonides S, McGinn S, Nunes S, Hupp T, Gordienko Y, Varvaras D, Stirenko S, Xumerle L, Mariani S, Bouzit A, Gazut S, Poth H, Souliotis K, Katifelis H, Verzoni E, Procopio G, Schoch S, Lupiáñez-Villanueva F, Türk S, Barud K, Koroliouk D, Caubet J, Moreno Y, Descotes JL, Golna C, Guadalupi V, Garagnani P, Gazouli M, Deleuze JF, Folkvord F, Forgó N, Harrison DJ, Axelson H, Stellato A, Mattei M, Rajan A, Laird A, Battail C, Pesquita C, Zanzotto FM.   +94 more
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Responsible AI and explainable AI

Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe E. Nnko, Salim A. Diwani, Godbless G. Minja, Kulwa Malyango   +5 more
openaire   +1 more source

Explainable AI for suicide risk detection: gender- and age-specific patterns from real-time crisis chats. [PDF]

Front Med (Lausanne)
Grimland M, Liberman M, Yeshayahu H, Benatov J, Munz N, Segal A, Ben Dayan L, Shenfeld I, Gal K, Levi-Belz Y.   +9 more
europepmc   +1 more source

The explainable AI dilemma under knowledge imbalance in specialist AI for glaucoma referrals in primary care. [PDF]

NPJ Digit Med
Gomez C, Wang R, Breininger K, Casey C, Bradley C, Pavlak M, Pham A, Yohannan J, Unberath M.   +8 more
europepmc   +1 more source

An efficient dual path deep learning framework for COVID-19 classification using lung CT scans with explainable AI. [PDF]

Sci Rep
Rahat MMA, Islam MI, Miah MSU, Alharbi T.   +3 more
europepmc   +1 more source

Charting γ-secretase substrates by explainable AI. [PDF]

Nat Commun
Breimann S, Kamp F, Basset G, Abou-Ajram C, Güner G, Yanagida K, Okochi M, Müller SA, Lichtenthaler SF, Langosch D, Frishman D, Steiner H.   +11 more
europepmc   +1 more source

Explainable AI Systems

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Explainable AI

Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, 2019
The American College of Radiology (ACR) has guidelines on appropriate ordering of Magnetic Resonance Imaging (MRI) brain scans. MRI requests are currently manually reviewed by radiologists to ensure compliance to these guidelines. In this paper, we implemented a stacked recurrent neural network (RNN) utilizing a bidirectional long short-term memory (Bi-
Alwin Yaoxian Zhang, Sean Shao Wei Lam, Marcus Eng Hock Ong, Phua Hwee Tang, Ling Ling Chan   +4 more
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