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A manifesto on explainability for artificial intelligence in medicine
Artif. Intell. Medicine, 2022 The rapid increase of interest in, and use of, artificial intelligence (AI) in computer applications has raised a parallel concern about its ability (or lack thereof) to provide understandable, or explainable, output to users.
Carlo Combi +6 more
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Artificial Intelligence in Ultrasound Imaging: Current Research and Applications [PDF]
Advanced Ultrasound in Diagnosis and Therapy, 2019 Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent software or system based on big data information, machine learning and deep learning technologies.
Shuo Wang, BS, Ji-Bin Liu, MD, Ziyin Zhu, MD, John Eisenbrey, PhD
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Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era
Current Oncology, 2021 The development of artificial intelligence (AI) algorithms has permeated the medical field with great success. The widespread use of AI technology in diagnosing and treating several types of cancer, especially colorectal cancer (CRC), is now attracting ...
Athanasia Mitsala +4 more
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International Journal of Information Management Data InsightsBayesian network is a probabilistic graphical model within machine learning that supports decision-making under conditions of uncertainty in different domains.
Fernando Juliani, Carlos Dias Maciel
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Taking brain-computer-interfacing one step further: a portable, wireless system coupled with online linear discriminant analysis for the detection of error-related potentials [PDF]
MATEC Web of Conferences, 2019 Recent years have witnessed extensive developments of computer science applications in medicine - assistive technologies. Among them, the concept of Brain-Computer-Interfaces, facilitating direct communication between brain and computer, has inspired ...
Ancău Dorina +2 more
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Journal of Clinical MedicineThe convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy.
R. Onciul +7 more
semanticscholar +1 more source
Frontiers in Oncology, 2022 Healthcare technologies have seen a surge in utilization during the COVID 19 pandemic. Remote patient care, virtual follow-up and other forms of futurism will likely see further adaptation both as a preparational strategy for future pandemics and due to ...
Grace M. Thiong’o +3 more
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Applications of large language models in cancer care: current evidence and future perspectives
Frontiers in Oncology, 2023 The development of large language models (LLMs) is a recent success in the field of generative artificial intelligence (AI). They are computer models able to perform a wide range of natural language processing tasks, including content generation ...
G. M. Iannantuono +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark +9 more
wiley +1 more source
SystemsIn academia, it is rare for an event or issue to foster the extensive participation of multiple disciplines. Research related to COVID-19 has undeniably yielded a wealth of valuable insights and impetus for the progress of interdisciplinary research ...
Yunfan Li +6 more
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