Artificial Intelligence for precision medicine
Creators: name: Colantonio, Sara
Publisher: name: Zenodo
Year: 2022
Subjects: Artificial Intelligence
Precision Medicine
Radiomics
Deep Learning
Trustworthy AI

description: Talk on the potentialities and challenges of Artificial Intelligence in precision medicine.
description: {"references": ["D. Giorgi, L Bastiani, MA Morales, MA Pascali, S Colantonio, G Coppini, Cardio-metabolic risk modeling and assessment through sensor-based measurements. Int. Journal of Medical Informatics, vol. 165, 104823, doi.org/10.1016/j.ijmedinf.2022.104823 Elsevier, 2022", "E Bertelli, L Mercatelli, C Marzi, E Pachetti, M Baccini, A Barucci et al. Machine and deep learning prediction of prostate cancer aggressiveness using multiparametric MRI, Frontiers in Oncology, 5515, 2022", "Aleksic S., Atanasov M., Agius J.C., Camilleri K., Cartolovni A., Climent-Perez P., Colantonio S., \u015etefania Cristina M., Despotovic V., Ekenel H.K., et al. State of the art of audio-and video-based solutions for AAL, arXiv preprint arXiv:2207.01487, 2022", "F Gioia, MA Pascali, A Greco, S Colantonio, EP Scilingo. Discriminating Stress From Cognitive Load Using Contactless Thermal Imaging Devices, 2021 43rd Annual Intl Conf of the IEEE Engineering in Medicine &amp; Biology Society (EMBC), 2021, 10.1109/EMBC46164.2021.9630860", "S Colantonio, A Salvati, C Caudai, F Bonino, LD Rosa, MA Pascali, et al. A Deep Learning Approach for Hepatic Steatosis Estimation from Ultrasound Imaging, Intl Conf on Computational Collective Intelligence, 703-714, 2021, https://doi.org/10.1007/978-3-030-88113-9_57", "K Lekadir et al. FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging, arXiv e-prints, arXiv: 2109.09658, 2021", "R Buongiorno, D Germanese, C Romei, L Tavanti, AD Liperi, et al. UIP-Net: A Decoder-Encoder CNN for the Detection and Quantification of Usual Interstitial Pneumoniae Pattern in Lung CT Scan Images, International Conference on Pattern Recognition, 389-405, 2021", "M Gabelloni, L Faggioni, S Attanasio, V Vani, A Goddi, S Colantonio, et al. Can Magnetic Resonance Radiomics Analysis Discriminate Parotid Gland Tumors? A Pilot Study, Diagnostics 10 (11), 900, 6, 2020", "D Germanese, L Mercatelli, S Colantonio, V Miele, MA Pascali, C Caudai, et al. Radiomics to Predict Prostate Cancer Aggressiveness: A Preliminary Study, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, 972-976, 2019", "S. Colantonio et al. Computer Vision for Ambient Assisted Living: Monitoring Systems for Personalized Healthcare and Wellness That Are Robust in the Real World and Accepted by Users, Carers, and Society Computer Vision for Assistive Healthcare, Computer Vision and Pattern Recognition, 2018, pp.147-182, Elsevier, 2018 https://doi.org/10.1016/B978-0-12-813445-0.00006-X", "S. Colantonio, et al. \"Semeoticons-reading the face code of cardio-metabolic risk.\" In: 2015 International Workshop onComputational Intelligence for Multimedia Understanding (IWCIM), pp. 1\u20135. IEEE 2015", "A. Danielis, D. Giorgi, M. Larsson, T. Str\u00f6mberg, S. Colantonio, O. Salvetti. Lip segmentation based on Lambertian shadings and morphological operators for hyper-spectral images. Pattern Recognition, vol. 63, 2017, pp. 355-370 https://doi.org/10.1016/j.patcog.2016.10.007"]}