Advancing a Hybrid Decision-Making Model in Anesthesiology: Applications of Artificial Intelligence in the Perioperative Setting
Gilberto Duarte-Medrano, Natalia Nuño-Lámbarri, Daniele Salvatore Paternò, Luigi La Via, Simona Tutino, Guillermo Dominguez-Cherit, Massimiliano Sorbello · 2025
Read Advancing a Hybrid Decision-Making Model in Anesthesiology: Applications of Artificial Intelligence in the Perioperative Setting by Gilberto Duarte-Medrano, Natalia Nuño-Lámbarri, Daniele Salvatore Paternò, Luigi La Via, Simona Tutino, Guillermo Dominguez-Cherit, Massimiliano Sorbello (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12785261.txt.
Description
Gilberto Duarte-Medrano and co-authors review how artificial intelligence is joining human judgment in anesthesiology, in a 2025 paper. Doctors who manage anesthesia before, during, and after surgery now draw on learning algorithms, deep networks, and large datasets. The authors trace this shift from its early roots to today's tools and argue for a hybrid model of decisions.
Current uses span risk prediction, patient teaching, record review, airway help, and forecasting blood pressure dips. Closed-loop systems can even dose anesthetic on their own, and EEG-based tools track depth of sleep. In procedure rooms, AI helps find nerves for regional blocks and steers needles. Training simulators and writing aids extend the reach further. The authors flag bias, data security, and the need for clinical proof, and they insist AI should back up, not replace, the anesthesiologist's judgment.
Catalog record
| CREATOR | Gilberto Duarte-Medrano, Natalia Nuño-Lámbarri, Daniele Salvatore Paternò, Luigi La Via, Simona Tutino, Guillermo Dominguez-Cherit, Massimiliano Sorbello |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |