Session Introduction: Artificial Intelligence in Clinical Medicine: Generative and Interactive Systems at the Human-Machine Interface.
Pac Symp Biocomput
; 29: 1-7, 2024.
Article
en En
| MEDLINE
| ID: mdl-38160265
ABSTRACT
Artificial Intelligence (AI) models are substantially enhancing the capability to analyze complex and multi-dimensional datasets. Generative AI and deep learning models have demonstrated significant advancements in extracting knowledge from unstructured text, imaging as well as structured and tabular data. This recent breakthrough in AI has inspired research in medicine, leading to the development of numerous tools for creating clinical decision support systems, monitoring tools, image interpretation, and triaging capabilities. Nevertheless, comprehensive research is imperative to evaluate the potential impact and implications of AI systems in healthcare. At the 2024 Pacific Symposium on Biocomputing (PSB) session entitled "Artificial Intelligence in Clinical Medicine Generative and Interactive Systems at the Human-Machine Interface", we spotlight research that develops and applies AI algorithms to solve real-world problems in healthcare.
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Bases de datos:
MEDLINE
Asunto principal:
Inteligencia Artificial
/
Medicina Clínica
Límite:
Humans
Idioma:
En
Revista:
Pac Symp Biocomput
Asunto de la revista:
BIOTECNOLOGIA
/
INFORMATICA MEDICA
Año:
2024
Tipo del documento:
Article