Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges
Future Internet, 2023 Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI’s ChatGPT, that can be prompted to generate various types of content.
Peng Zhang, Maged N. Kamel Boulos
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Chinese Herbal Medicine Image Recognition and Retrieval by Convolutional Neural Network. [PDF]
PLoS ONE, 2016 Chinese herbal medicine image recognition and retrieval have great potential of practical applications. Several previous studies have focused on the recognition with hand-crafted image features, but there are two limitations in them.
Xin Sun, Huinan Qian
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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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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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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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Implicit knowledge learning:taking clinical simulation for example
智能科学与技术学报, 2021 In the course of computer-aided cardiovascular disease diagnosis, field experience modeling usually being ignored.Hereafter the strategy to focus on the discovey and study of implicit knowledge was presented.The importance of implicit knowledge in ...
Jun DONG
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Automation of Knowledge Work in Medicine and Health care: Future and Challenges
International Journal of Body, Mind and Culture, 2017 Increment of computing speed, machine learning and human interface, have extended capabilities of artificial intelligence applications to an important stage. It is predicted that use of artificial intelligence (AI) to automate knowledge-based occupations
Farzan Majidfar
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A Survey on Optimal Transport for Machine Learning: Theory and Applications
IEEE AccessOptimal Transport (OT) theory has seen increasing attention from the computer science community due to its potency and relevance in modeling and machine learning (ML).
Luiz Manella Pereira, M. Hadi Amini
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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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