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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Applications And Expert Systems (I.2.1) > Medicine And Science (I.2.1...)  
  1-10 of 33 Reviews about "Medicine And Science (I.2.1...)": Date Reviewed
  Deep learning and convolutional neural networks for medical imaging and clinical informatics
Lu L., Wang X., Carneiro G., Yang L., Springer International Publishing, New York, NY, 2019. 461 pp.  Type: Book (978-3-030139-68-1)

This book reviews deep learning research and applications “for medical imaging and clinical informatics.” It specifically presents information about the implementation of deep learning and convolutional neural netwo...

Mar 15 2021
  A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening
Soares F., Becker K., Anzanello M. Artificial Intelligence in Medicine 82 1-10, 2017.  Type: Article

Classification in artificial intelligence aims to separate data into categories using available variables. High dimensionality and inherent variability in medical datasets have been challenges to classification tasks in this field....

Feb 21 2018
  A review of fuzzy cognitive maps in medicine
Amirkhani A., Papageorgiou E., Mohseni A., Mosavi M. Computer Methods and Programs in Biomedicine 142(C): 129-145, 2017.  Type: Article

Accurate decision support systems are central to the medical prevention, diagnosis, and treatment of diseases such as autism, cancer, celiac disease, and lobar pneumonia. There are medical decision support systems that apply the proper...

Jul 26 2017
   Pattern identification of biomedical images with time series
Yin X., Hadjiloucas S., Zhang Y., Su M., Miao Y., Abbott D. Artificial Intelligence in Medicine 67(C): 1-23, 2016.  Type: Article

Various medical imaging modalities exist, with applications to different clinical needs such as oncology, perfusion studies, angiography, musculoskeletal diagnosis, and others. This paper by Yin et al. describes the current state of th...

May 27 2016
  Generalized discriminant analysis for congestive heart failure risk assessment based on long-term heart rate variability
Shahbazi F., Asl B. Computer Methods and Programs in Biomedicine 122(2): 191-198, 2015.  Type: Article

Early prevention and detection of weak and malfunctioning hearts can undoubtedly help to reduce medical care costs. But how should the risks of patients with varying heart rate characteristics be used to estimate the likelihood of cong...

Feb 3 2016
  Medical applications of artificial intelligence
Agah A., CRC Press, Inc., Boca Raton, FL, 2013. 526 pp.  Type: Book (978-1-439884-33-1)

This edited volume provides readers with a research review of applications and advances of artificial intelligence (AI) in the healthcare sector....

Oct 7 2014
  Machine learning in medicine
Cleophas T., Zwinderman A., Springer Publishing Company, Incorporated, New York, NY, 2013. 280 pp.  Type: Book (978-9-400758-23-0)

The title of this book sounds very attractive because it connects two big worlds that could benefit each other. In fact, machine learning is nourished by medicine because medical problems offer new challenges that require increasingly ...

Jan 29 2014
  Temporal information systems in medicine
Combi C., Keravnou-Papailiou E., Shahar Y., Springer Publishing Company, Incorporated, New York, NY, 2010. 376 pp.  Type: Book (978-1-441965-42-4)

Time is a critical dimension in medicine. The temporal sequence in which symptoms develop is often the key to correct diagnosis. Also, illnesses play out over time, and the response to treatment must be assessed as time passes. Thus, t...

Sep 22 2010
  Modeling molecular computing systems by an artificial chemistry--its expressive power and application
Tominaga K., Watanabe T., Kobayashi K., Nakamura M., Kishi K., Kazuno M. Artificial Life 13(3): 223-247, 2007.  Type: Article

After the Adleman-Lipton [1] paradigm for DNA computation emerged, several methods to exploit the inherent large-scale coding abilities of polynucleotide strands were proposed [2]. The onus was on each model’s proponents to d...

Jun 3 2008
  Bioinformatics integration and agent technology
Karasavvas K., Baldock R., Burger A. Journal of Biomedical Informatics 37(3): 205-219, 2004.  Type: Article

This interesting methodological review--in three parts, with short coda--makes a strong case for integrating bioinformatics software....

Oct 21 2004
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