Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends.
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 ext...
| Publicado en: | Current Oncology Vol. 31; no. 10; pp. 6232 - 6245 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
MDPI
Oct2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180556925&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180556925 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11980052 5EKK jtl: Current Oncology issn: 11980052 maglogo: N pubinfo: dt: Oct2024 vid: 31 iid: 10 pid: 97109 pub: MDPI artinfo: ui: 180556925 10.3390/curroncol31100464 180556925 ppf: 6232 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends. aug: au: Aleem, Mohamed Umair Khan, Jibran Ahmad Younes, Asser Sabbah, Belal Nedal Saleh, Waleed Migliore, Marcello affil: College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia sug: ab: 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 record (EMR) data. Moreover, AI applications in robotic-assisted thoracic surgery (RATS) and perioperative management reveal the potential to improve 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 perioperative 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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