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Taylor, Matthew, Liu, Xiaoxuan, Denniston, Alastair K, Esteva, Andre, Ko, Justin, Daneshjou, Roxana and Chan, An-Wen (2021) Raising the bar for Randomized Trials involving Artificial Intelligence: The SPIRIT-AI and CONSORT-AI Guidelines. The Journal of investigative dermatology. ISSN 1523-1747.
Full text not available from this repository.Abstract
Artificial intelligence (AI)-based applications have the potential to improve the quality and efficiency of patient care in dermatology. Unique challenges in the development and validation of these technologies may limit their generalizability and real-world applicability. Before widespread adoption of AI interventions, randomized trials should be conducted to evaluate their efficacy, safety, and cost effectiveness in clinical settings. The recent SPIRIT-AI (Standard Protocol Items: Recommendations for Interventional Trials - AI extension) and CONSORT-AI (Consolidated Standards of Reporting Trials - AI extension) guidance provide recommendations for reporting the methods and results of trials involving AI interventions. High-quality trials will provide gold standard evidence to support the adoption of AI for the benefit of patient care.
| Item Type: | Article |
|---|---|
| Subjects: | W Public health. Health statistics. Occupational health. Health education WR Skin. Dermatology WU Dentistry. Oral surgery WW Eyes. Ophthalmology |
| Divisions: | Ambulatory Care > Dermatology |
| Related URLs: | |
| Depositing User: | Jamie Edgar |
| Date Deposited: | 08 Apr 2021 13:44 |
| Last Modified: | 08 Apr 2021 13:44 |
| URI: | http://www.repository.uhblibrary.co.uk/id/eprint/4181 |
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