Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends

Mohamed Umair Aleem; Jibran Ahmad Khan; Asser Younes Asser Younes; Belal Nedal Sabbah; Waleed Saleh; Marcello Migliore

doi:10.20944/preprints202409.0271.v1

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preprints.org > medicine and pharmacology > surgery > doi: 10.20944/preprints202409.0271.v1

Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends

Mohamed Umair Aleem

Jibran Ahmad Khan

Asser Younes Asser Younes

Belal Nedal Sabbah

Waleed Saleh

Marcello Migliore

Version 1 : Received: 3 September 2024 / Approved: 3 September 2024 / Online: 5 September 2024 (06:22:20 CEST)

How to cite: Aleem, M. U.; Khan, J. A.; Asser Younes, A. Y.; Sabbah, B. N.; Saleh, W.; Migliore, M. Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends. Preprints 2024, 2024090271. https://doi.org/10.20944/preprints202409.0271.v1 Aleem, M. U.; Khan, J. A.; Asser Younes, A. Y.; Sabbah, B. N.; Saleh, W.; Migliore, M. Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends. Preprints 2024, 2024090271. https://doi.org/10.20944/preprints202409.0271.v1

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MDPI and ACS Style

Aleem, M. U.; Khan, J. A.; Asser Younes, A. Y.; Sabbah, B. N.; Saleh, W.; Migliore, M. Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends. Preprints 2024, 2024090271. https://doi.org/10.20944/preprints202409.0271.v1

APA Style

Aleem, M. U., Khan, J. A., Asser Younes, A. Y., Sabbah, B. N., Saleh, W., & Migliore, M. (2024). Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends. Preprints. https://doi.org/10.20944/preprints202409.0271.v1

Chicago/Turabian Style

Aleem, M. U., Waleed Saleh and Marcello Migliore. 2024 "Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends" Preprints. https://doi.org/10.20944/preprints202409.0271.v1

Abstract

Artificial Intelligence (AI) is increasingly becoming integral to medical practice, potentially enhancing outcomes in thoracic surgery. AI-driven models have shown significant accuracy in diagnosing non-small cell lung cancer (NSCLC), predicting lymph node metastasis, and aiding in the efficient extraction of electronic medical records (EMR) data. Moreover, AI applications in robotic-assisted thoracic surgery (RATS) and perioperative management reveal potential in improving surgical precision, patient safety, and overall care efficiency. Despite these advancements, challenges such as data privacy, biases, and ethical concerns remain. This manuscript explores AI applications, particularly machine learning (ML) and natural language processing (NLP), in thoracic surgery, emphasizing their role in diagnosis and peri-operative management. It also provides a comprehensive overview of the current state, benefits, and limitations of AI in thoracic surgery, highlighting future directions in the field.

Keywords

thoracic surgery; AI; Artificial Intelligence; VATS; RATS; precision medicine; precision surgery

Subject

Medicine and Pharmacology, Surgery

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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