Requirement of artificial intelligence technology awareness for thoracic surgeons.
Artificial intelligence
Deep learning
Machine learning
Robotic surgery
Thoracic cancers
Thoracic surgery
Journal
The cardiothoracic surgeon
ISSN: 2662-2203
Titre abrégé: Cardiothorac Surg
Pays: England
ID NLM: 9918734186806676
Informations de publication
Date de publication:
2021
2021
Historique:
received:
20
04
2021
accepted:
26
06
2021
medline:
1
1
2021
pubmed:
1
1
2021
entrez:
16
4
2024
Statut:
ppublish
Résumé
We have recently witnessed incredible interest in computer-based, internet web-dependent mechanisms and artificial intelligence (AI)-dependent technique emergence in our day-to-day lives. In the recent era of COVID-19 pandemic, this nonhuman, machine-based technology has gained a lot of momentum. The supercomputers and robotics with AI technology have shown the potential to equal or even surpass human experts' accuracy in some tasks in the future. Artificial intelligence (AI) is prompting massive data interweaving with elements from many digital sources such as medical imaging sorting, electronic health records, and transforming healthcare delivery. But in thoracic surgical and our counterpart pulmonary medical field, AI's main applications are still for interpretation of thoracic imaging, lung histopathological slide evaluation, physiological data interpretation, and biosignal testing only. The query arises whether AI-enabled technology-based or autonomous robots could ever do or provide better thoracic surgical procedures than current surgeons but it seems like an impossibility now. This review article aims to provide information pertinent to the use of AI to thoracic surgical specialists. In this review article, we described AI and related terminologies, current utilisation, challenges, potential, and current need for awareness of this technology.
Sections du résumé
Background
UNASSIGNED
We have recently witnessed incredible interest in computer-based, internet web-dependent mechanisms and artificial intelligence (AI)-dependent technique emergence in our day-to-day lives. In the recent era of COVID-19 pandemic, this nonhuman, machine-based technology has gained a lot of momentum.
Main body of the abstract
UNASSIGNED
The supercomputers and robotics with AI technology have shown the potential to equal or even surpass human experts' accuracy in some tasks in the future. Artificial intelligence (AI) is prompting massive data interweaving with elements from many digital sources such as medical imaging sorting, electronic health records, and transforming healthcare delivery. But in thoracic surgical and our counterpart pulmonary medical field, AI's main applications are still for interpretation of thoracic imaging, lung histopathological slide evaluation, physiological data interpretation, and biosignal testing only. The query arises whether AI-enabled technology-based or autonomous robots could ever do or provide better thoracic surgical procedures than current surgeons but it seems like an impossibility now.
Short conclusion
UNASSIGNED
This review article aims to provide information pertinent to the use of AI to thoracic surgical specialists. In this review article, we described AI and related terminologies, current utilisation, challenges, potential, and current need for awareness of this technology.
Identifiants
pubmed: 38624757
doi: 10.1186/s43057-021-00053-4
pii: 53
pmc: PMC8254051
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
13Informations de copyright
© The Author(s) 2021.
Déclaration de conflit d'intérêts
Competing interestsThe authors declare that they have no competing interests.