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1-10 of 69 Reviews about "
Health (J.3...)
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Date Reviewed
The AI revolution in medicine: GPT-4 and beyond
Lee P. (ed), Goldberg C., Kohane I., Pearson, Hoboken, NJ, 2023. 304 pp. Type: Book (978-0138200138)
The AI revolution in medicine: GPT-4 and beyond
explores the potential of artificial intelligence (AI) in healthcare. Written by professors Peter Lee, Carey Goldberg, and Isaac Kohane, it offers a balanced view of AI’s role, focusing ...
Aug 1 2023
Deep learning for cognitive computing systems: technological advancements and applications
Sumithra M., Dhanaraj R., Iwendi C., Manoharan A., DE GRUYTER, Berlin, Germany, 2022. 300 pp. Type: Book (3110750503)
Deep learning for cognitive computing systems
is a bird’s-eye view of deep learning and the neighboring, whether loosely or strongly coupled, areas. It is a collection of several authors’ publications....
Jun 9 2023
RxNet: Rx-refill graph neural network for overprescribing detection
Zhang J., Kuo A., Zhao J., Wen Q., Winstanley E., Zhang C., Ye Y. CIKM 2021 Queensland, Australia, Nov 1-5, 2021) 2537-2546, 2021. Type: Proceedings
The intensifying rates of opioid overuse and drug misuse require effective drug prescription scrutinizing tools. Despite the available prescription drug monitoring programs (PDMPs) in countries like the US, how should indispensable PDMPs be devise...
Jan 6 2023
Deep transfer learning in human-robot interaction for cognitive and physical rehabilitation purposes
Aqdus Ilyas C., Rehm M., Nasrollahi K., Madadi Y., Moeslund T., Seydi V. Pattern Analysis & Applications 25(3): 653-677, 2022. Type: Article
Despite the huge number of publicly available images, emotion recognition for real applications suffers from a lack of relevant images. This challenge is considered here, where the task involves interpreting the facial expressions of patients with...
Oct 17 2022
Predictive models for decision support in the COVID-19 crisis
Marques J., Gois F., Xavier-Neto J., Fong S., Springer, Switzerland, 2020. 208 pp. Type: Book (978-3-030619-12-1)
The COVID-19 pandemic is not the first pandemic to have occurred in the history of humanity, but it is the first one where it is possible to use a vast array of mathematical tools to describe, analyze, and even attempt to forecast poss...
Jul 26 2022
Technology and global public health
Murthy M., Ansehl A., Springer, New York, NY, 2020. 425 pp. Type: Book (978-3-030463-54-0)
Applications of modern technology in various traditional domains are gaining momentum. In particular, various modern technologies in healthcare can improve treatment outcomes and quality of life for both medical practitioners and patie...
Jun 1 2022
Leveraging data science for global health
Celi L., Majumdar M., Ordonez P., Osorio J., Paik K., Somai M., Springer, Switzerland, 2020. 646 pp. Type: Book (978-3-030479-93-0)
Medical care is becoming increasingly personalized based on individual patient data. Data science is one enabler of this medical practice. For example, data science techniques are being integrated into healthcare applications, such as ...
Mar 24 2022
Intelligent systems and methods to combat Covid-19
Joshi A., Dey N., Santosh K., Springer International Publishing, New York, NY, 2020. 239 pp. Type: Book (978-9-811565-71-7)
The book describes intelligent systems and methods to combat Covid-19. It is composed of ten chapters....
Sep 6 2021
Novel coronavirus 2019: in-silico vaccine design and drug discovery
Kumar A., Saxena A., Lee G., Kashyap A., Jyothsna G., Springer International Publishing, New York, NY, 2020. 78 pp. Type: Book (978-3-030344-95-5)
The two urgent goals for overcoming the COVID-19 virus are (1) finding effective treatments for patients already infected, and (2) developing vaccines for the prevention of infection. The speed needed to achieve these goals requires th...
Feb 5 2021
Deep medicine: how artificial intelligence can make healthcare human again
Topol E., Basic Books, Inc., New York, NY, 2019. 400 pp. Type: Book (978-1-541644-63-2)
As a result of the explosive growth of artificial intelligence (AI) in recent years, it is predicted that up to 47 percent of jobs may be automated away in the future [1]. Such disruption is often focused on blue-collar professions. Ho...
Nov 5 2019
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