Work

Evaluating the Performance of Mobile Machine-Learning Platforms for Syphilis Symptom Screening

Year: 2026

Type: article

Source: Sexually Transmitted Diseases

DOI: 10.1097/olq.0000000000002304

Authors: Lao-Tzu Allan-Blitz, Kelika A. Konda, E. Michael Reyes-Diaz, Silver Vargas, Carlos F. Caceres, Jeffrey D. Klausner

Institutions: Brigham and Women's Hospital, University of California, Los Angeles, University of Southern California, Universidad Peruana Cayetano Heredia

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Institute of Allergy and Infectious Diseases

Awards: Syphilis Immunology and Biology to Improve Clinical Management and Vaccine Design, The development & pilot implementation of a Cas13a-based low-cost point-of-care assay for detecting Neisseria gonorrhoeae and molecular markers of antimicrobial resistance in resource-limited settings

OpenAlex ID: W7140580869

FWCI:

Cites: 23

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