Application of Artificial Intelligence in the Early Detection and Management of Atrial Fibrillation: State-of-the-art Review
Davide Antonio Mei, Benedetta Cherubini, Jacopo Francesco Imberti, Manuela Orlandi, Marco Vitolo, Giuseppe Boriani · 2026
Read Application of Artificial Intelligence in the Early Detection and Management of Atrial Fibrillation: State-of-the-art Review by Davide Antonio Mei, Benedetta Cherubini, Jacopo Francesco Imberti, Manuela Orlandi, Marco Vitolo, Giuseppe Boriani (2026) 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-13187931.txt.
Description
Davide Mei and co-authors review artificial intelligence for atrial fibrillation care in a 2026 paper. This rhythm disorder is the most common in practice and costly in illness, death, and money. Good care spans early detection, rate or rhythm choices, and the diseases that travel with it.
Algorithms now read standard heart tracings and wearable feeds to catch episodes sooner. Others forecast events and complications, or tailor treatment picks to the patient. Woven into health systems, the tools promise proactive, whole-person care rather than episodic fixes. The review maps the gains and the obstacles honestly. Its future picture has AI amplifying, not replacing, clinical judgment.
Catalog record
| CREATOR | Davide Antonio Mei, Benedetta Cherubini, Jacopo Francesco Imberti, Manuela Orlandi, Marco Vitolo, Giuseppe Boriani |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |