Login / Signup

Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study.

Jin ShiDavid BendigHorst Christian VollmarPeter Wilhelm Victor Rasche
Published in: Journal of medical Internet research (2023)
The research topics have evolved as the volume of AI studies increases annually. Machine learning remains central to medical AI research, with deep learning expected to maintain its fundamental role. Empowered by predictive algorithms, pattern recognition, and imaging analysis capabilities, the future of AI research in medicine is anticipated to concentrate on medical diagnosis, robotic intervention, and disease management. Our topic modeling outcomes provide a clear insight into the focus of AI research in medicine over the past decades and lay the groundwork for predicting future directions. The domains that have attracted considerable research attention, primarily the learning domain, will continue to shape the trajectory of AI in medicine. Given the observed growing interest, the domain of AI ethics and philosophy also stands out as a prospective area of increased focus.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • high resolution
  • healthcare
  • randomized controlled trial
  • convolutional neural network
  • public health
  • current status
  • mass spectrometry