A surgeon’s guide to artificial intelligence-driven predictive models Review
| Authors: | Hassan, A. M.; Rajesh, A.; Asaad, M.; Nelson, J. A.; Coert, J. H.; Mehrara, B. J.; Butler, C. E. |
| Review Title: | A surgeon’s guide to artificial intelligence-driven predictive models |
| Abstract: | Artificial intelligence (AI) focuses on processing and interpreting complex information as well as identifying relationships and patterns among complex data. Artificial intelligence- and machine learning (ML)-driven predictions have shown promising potential in influencing real-time decisions and improving surgical outcomes by facilitating screening, diagnosis, risk assessment, preoperative planning, and shared decision-making. Fundamental understanding of the algorithms, as well as their development and interpretation, is essential for the evolution of AI in surgery. In this article, we provide surgeons with a fundamental understanding of AI-driven predictive models through an overview of common ML and deep learning algorithms, model development, performance metrics and interpretation. This would serve as a basis for understanding ML-based research, while fostering new ideas and innovations for furthering the reach of this emerging discipline. © The Author(s) 2022. |
| Keywords: | outcome assessment; preoperative evaluation; algorithms; prediction; risk assessment; algorithm; artificial intelligence; surgeon; surgery; shared decision making; surgeons; machine learning; predictive model; humans; human; article; deep learning; performance indicator |
| Journal Title: | American Surgeon |
| Volume: | 89 |
| Issue: | 1 |
| ISSN: | 0003-1348 |
| Publisher: | Southeastern Surgical Congress |
| Date Published: | 2023-01-01 |
| Start Page: | 11 |
| End Page: | 19 |
| Language: | English |
| DOI: | 10.1177/00031348221103648 |
| PUBMED: | 35588764 |
| PROVIDER: | scopus |
| PMCID: | PMC9674797 |
| DOI/URL: | |
| Notes: | The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PubMed record. -- Export Date: 3 January 2023 -- Source: Scopus |
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