Q2 2021

Requirement of artificial intelligence technology awareness for thoracic surgeons

Anshuman Darbari · Krishan Kumar · Shubhankar Darbari · Prashant L. Patil
10.1186/s43057-021-00053-4 388 المشاهدات 26 الاقتباسات
26
الاقتباسات
388
المشاهدات
الملخص

Abstract
Background
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
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
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.

الاستشهاد بهذا المقال (APA)
Anshuman, D., Krishan, K., Shubhankar, D., Prashant, L. P. (2021). Requirement of artificial intelligence technology awareness for thoracic surgeons. The Cardiothoracic Surgeon. https://doi.org/10.1186/s43057-021-00053-4
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Requirement of artificial intelligence technology awareness for thoracic surgeons
Anshuman Darbari; Krishan Kumar; Shubhankar Darbari; Prashant L. Patil · 2021
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الوصول
عرض النص الكامل عبر DOI
نُشر في
الرقم الدولي ISSN 2662-2203
الربعية Q2
درجة المؤشر القياس العربي 72
التخصص Medicine & Health Sciences
الناشر Springer (Biomed Central Ltd.)
الدولة 🇪🇬 Egypt
عرض ملف المجلة →
المؤلفون
تفاصيل النشر
السنة 2021
اللغة English
أُضيف في 24 Aug 2026