Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Development of High-Quality Artificial Intelligence in Dermatology: Guidelines, Pitfalls, and Potential.

Literature DB >> 36267807

Development of High-Quality Artificial Intelligence in Dermatology: Guidelines, Pitfalls, and Potential.

Carrie Kovarik¹.

Abstract

Entities: Chemical

Year: 2022 PMID： 36267807 PMCID： PMC9576984 DOI： 10.1016/j.xjidi.2022.100157

Source DB: PubMed Journal: JID Innov ISSN： 2667-0267

Keyword Cloud
References

× No keyword cloud information.

18 in total

Review 1. Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.

Authors: Roxana Daneshjou; Mary P Smith; Mary D Sun; Veronica Rotemberg; James Zou
Journal: JAMA Dermatol Date: 2021-11-01 Impact factor: 11.816

2. Toward Augmented Intelligence: The First Prospective, Randomized Clinical Trial Assessing Clinician and Artificial Intelligence Collaboration in Dermatology.

Authors: Roxana Daneshjou
Journal: J Invest Dermatol Date: 2022-05-31 Impact factor: 7.590

3. Evaluation of Artificial Intelligence-Assisted Diagnosis of Skin Neoplasms: A Single-Center, Paralleled, Unmasked, Randomized Controlled Trial.

Authors: Seung Seog Han; Young Jae Kim; Ik Jun Moon; Joon Min Jung; Mi Young Lee; Woo Jin Lee; Chong Hyun Won; Mi Woo Lee; Seong Hwan Kim; Cristian Navarrete-Dechent; Sung Eun Chang
Journal: J Invest Dermatol Date: 2022-02-18 Impact factor: 7.590

Review 4. Artificial intelligence and dermatology: opportunities, challenges, and future directions.

Authors: Daniel I Schlessinger; Guillaume Chhor; Olivier Gevaert; Susan M Swetter; Justin Ko; Roberto A Novoa
Journal: Semin Cutan Med Surg Date: 2019-03-01

5. A reliability study using Network-Oriented Research Assistant to evaluate the use of digital photographs in the assessment of atopic dermatitis.

Authors: Meagan E Hughes; Hilary Aralis; Kevin W Bruhn; Jonathan Cotliar; Noah Craft; Ilana J DeLuca; Reyhaneh Hamidi; Kathy Nguyen; Mayha Patel; Vishal A Patel; Howard Sofen; Belinda H Tan; Consuelo V David
Journal: J Am Acad Dermatol Date: 2019-01-29 Impact factor: 11.527

6. Remote Rating of Atopic Dermatitis Severity Using Photo-Based Assessments: Proof-of-Concept and Reliability Evaluation.

Authors: Zarqa Ali; Kristina Melbardis Joergensen; Anders Daniel Andersen; Andrei Chiriac; Theis Bjerre-Christensen; Ionela Manole; Ana-Maria Dutei; Irina Deaconescu; Alina Suru; Adina Serban; Ari Pall Isberg; Priyanka Dahiya; Simon Francis Thomsen; John Robert Zibert
Journal: JMIR Form Res Date: 2021-05-25

Development of High-Quality Artificial Intelligence in Dermatology: Guidelines, Pitfalls, and Potential.

Review 1. Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.

2. Toward Augmented Intelligence: The First Prospective, Randomized Clinical Trial Assessing Clinician and Artificial Intelligence Collaboration in Dermatology.

3. Evaluation of Artificial Intelligence-Assisted Diagnosis of Skin Neoplasms: A Single-Center, Paralleled, Unmasked, Randomized Controlled Trial.

Review 4. Artificial intelligence and dermatology: opportunities, challenges, and future directions.

5. A reliability study using Network-Oriented Research Assistant to evaluate the use of digital photographs in the assessment of atopic dermatitis.

6. Remote Rating of Atopic Dermatitis Severity Using Photo-Based Assessments: Proof-of-Concept and Reliability Evaluation.

7. Automatic SCOring of Atopic Dermatitis Using Deep Learning: A Pilot Study.

8. Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks.

9. Detecting Eczema Areas in Digital Images: An Impossible Task?

Review 10. Assessment of clinical signs of atopic dermatitis: a systematic review and recommendation.