Artificial intelligence in service of medicine.

  title={Artificial intelligence in service of medicine.},
  author={O El-Hassoun and L Maruscakova and Zuzana Valaskova and Maria Bucova and {\vS}tefan Pol{\'a}k and Ivan Hul{\'i}n},
  journal={Bratislavske lekarske listy},
  volume={120 3},
The race to make the dream of artificial intelligence a reality comes parallel with the increasing struggle of health care systems to cope with information overload and translational pressure. It is clear that a shift in the way data is generated requires a shift in the way they are processed. This is where AI comes with great promises to solve the problem of volume versus applicability of information in science. In medicine, AI is showing exponential progress in the fields of predictive… 

Impact of Artificial Intelligence Based on Big Data on Medical Care

  • Huan Li
  • Medicine, Computer Science
    Journal of Physics: Conference Series
  • 2020
The positive effects of artificial intelligence to accelerate the medical industry’s work efficiency, promoting the development of the medical cause, a series of medical ethical issues caused by the application of artificial artificial intelligence in themedical industry, and aseries of problems for theMedical industry staff are analyzed.

Artificial intelligence in musculoskeletal conditions.

This narrative literature review focuses on the aspects of AI that present major opportunities for developing health care, including AI in musculoskeletal medicine, as well as for "big data" and AI in gastrointestinal endoscopy related injuries.

Scoping review of artificial intelligence and immersive digital tools in dental education.

An improved understanding of virtual and AI domains is needed to enable dental students to adapt to changes within and beyond their dental training education, and to increase the scientific value of digital-related research.

Development and Application of Artificial Intelligence in Auxiliary TCM Diagnosis

The paper summarizes the development and application of AI in auxiliary TCM diagnosis, analyzes the bottleneck of artificial intelligence in the field of auxiliaryTCM diagnosis at present, and proposes a possible future direction of its development.

New Innovative Peripheral Insertion Method of I.V. Cannula

An innovative method of introducing peripheral IV cannula provides a framework to guide curriculum development and teaching strategies as well as to support the advancement of cognitive and empirical skills of healthcare professionals.

Trnka Vaclav - Central European Anatomist and Medical Polymath of the Eighteenth Century.

Vaclav Trnka from Křovice was a remarkable physician whose life serves as an example in the history of medicine by connecting major capital cities of Central Europe and was the first educator to introduce anatomy as a medical subject to be taught in a Hungarian medical school.

Circadian pain assessment in neonates from a nurse's perspective.

A better understanding of circadian control of pain in neonates can help promote a more frequent use of time-contingent pain treatment strategies to help improve neonates care.

Automated classification of cancer from fine needle aspiration cytological image use neural networks: A meta‐analysis

This meta‐analysis to evaluate the diagnostic value of Neural networks in Fine needle aspiration cytological (FNAC) image of cancer found that neural networks have a high diagnostic value in cancer research.



Artificial Intelligence in Precision Cardiovascular Medicine.

Big data in health care: using analytics to identify and manage high-risk and high-cost patients.

Six use cases are presented where some of the clearest opportunities exist to reduce costs through the use of big data: high-cost patients, readmissions, triage, decompensation, adverse events, and treatment optimization for diseases affecting multiple organ systems.

A Survey of Data Mining and Deep Learning in Bioinformatics

This survey concentrates on the review of recent researches using data mining and deep learning approaches for analyzing the specific domain knowledge of bioinformatics.

Deep learning in bioinformatics

This review will provide valuable insights and serve as a starting point for researchers to apply deep learning approaches in their bioinformatics studies and suggest future research directions.

Focusing on Preinvasive Neoplasia.

  • N. Pernick
  • Biology
    Archives of pathology & laboratory medicine
  • 2018
It is proposed that cancer typically arises due to 9 chronic stressors that find ‘‘weak spots’’ in cellular networks that cause them to deviate from their usual physiologic state and may interact to create a hierarchy with new biologic properties called an attractor, which acts as an intermediate state.

Heart disease diagnosis based on mediative fuzzy logic

  • I. Iancu
  • Computer Science
    Artif. Intell. Medicine
  • 2018

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images

The constructed CNN system for detecting gastric cancer could process numerous stored endoscopic images in a very short time with a clinically relevant diagnostic ability and may be well applicable to daily clinical practice to reduce the burden of endoscopists.