AI enabled benefits and challenges in the healthcare setting.
| Title: | AI enabled benefits and challenges in the healthcare setting. |
|---|---|
| Authors: | TAWIL Samah; MERHI Samar |
| Publication Year: | 2025 |
| Subject Terms: | Cell Biology; Biotechnology; Developmental Biology; Cancer; Science Policy; Infectious Diseases; significantly improve accuracy; machine learning continue; deep learning methods; acquire deeper knowledge; potential future applications; challenges may exist; applying artificial intelligence; artificial intelligence; transformative potential; medical applications; %22">xlink ">; timely execution; thorough assessment; study examines; studies showed; steady rise; present status; patient perspective; medical processes; key trends; international universities; implementation stage; health technologies; health monitoring |
| Description: | AI enabled benefits and challenges in the healthcare setting. |
| Document Type: | dataset |
| Language: | unknown |
| Relation: | https://figshare.com/articles/dataset/AI_enabled_benefits_and_challenges_in_the_healthcare_setting_/29080671 |
| DOI: | 10.1371/journal.pone.0322197.t004 |
| Availability: | https://doi.org/10.1371/journal.pone.0322197.t004; https://figshare.com/articles/dataset/AI_enabled_benefits_and_challenges_in_the_healthcare_setting_/29080671 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.5EAFD3E6 |
| Database: | BASE |