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For: Millenson ML, Baldwin JL, Zipperer L, Singh H. Beyond Dr. Google: the evidence on consumer-facing digital tools for diagnosis. Diagnosis (Berl) 2018;5:95-105. [PMID: 30032130 DOI: 10.1515/dx-2018-0009] [Cited by in Crossref: 26] [Cited by in F6Publishing: 17] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
1 Kopka M, Schmieding ML, Rieger T, Roesler E, Balzer F, Feufel MA. Trust Me, I’m Not a Doctor! Determinants of Laypersons’ Trust in Medical Decision Aids: Experimental Study (Preprint). JMIR Human Factors. [DOI: 10.2196/35219] [Reference Citation Analysis]
2 Meyer AND, Giardina TD, Spitzmueller C, Shahid U, Scott TMT, Singh H. Patient Perspectives on the Usefulness of an Artificial Intelligence-Assisted Symptom Checker: Cross-Sectional Survey Study. J Med Internet Res 2020;22:e14679. [PMID: 32012052 DOI: 10.2196/14679] [Cited by in Crossref: 20] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]
3 Gottliebsen K, Petersson G. Limited evidence of benefits of patient operated intelligent primary care triage tools: findings of a literature review. BMJ Health Care Inform 2020;27:e100114. [PMID: 32385041 DOI: 10.1136/bmjhci-2019-100114] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
4 Singh H, Carayon P. A Roadmap to Advance Patient Safety in Ambulatory Care. JAMA 2020;324:2481-2. [PMID: 33351052 DOI: 10.1001/jama.2020.18551] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Aboueid S, Liu RH, Desta BN, Chaurasia A, Ebrahim S. The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review. JMIR Med Inform 2019;7:e13445. [PMID: 31042151 DOI: 10.2196/13445] [Cited by in Crossref: 14] [Cited by in F6Publishing: 8] [Article Influence: 4.7] [Reference Citation Analysis]
6 Jungmann SM, Klan T, Kuhn S, Jungmann F. Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users. JMIR Form Res 2019;3:e13863. [PMID: 31663858 DOI: 10.2196/13863] [Cited by in Crossref: 22] [Cited by in F6Publishing: 13] [Article Influence: 7.3] [Reference Citation Analysis]
7 Lau N, O'Daffer A, Yi-Frazier J, Rosenberg AR. Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps. J Med Internet Res 2021;23:e27105. [PMID: 34096868 DOI: 10.2196/27105] [Reference Citation Analysis]
8 Hautz WE, Exadaktylos A, Sauter TC. Online forward triage during the COVID-19 outbreak. Emerg Med J 2021;38:106-8. [PMID: 33310732 DOI: 10.1136/emermed-2020-209792] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
9 Baxter C, Carroll JA, Keogh B, Vandelanotte C. Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries. JMIR Mhealth Uhealth. 2020;8:e16741. [PMID: 32012102 DOI: 10.2196/16741] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 7.0] [Reference Citation Analysis]
10 Gilbert S, Mehl A, Baluch A, Cawley C, Challiner J, Fraser H, Millen E, Montazeri M, Multmeier J, Pick F, Richter C, Türk E, Upadhyay S, Virani V, Vona N, Wicks P, Novorol C. How accurate are digital symptom assessment apps for suggesting conditions and urgency advice? A clinical vignettes comparison to GPs. BMJ Open 2020;10:e040269. [PMID: 33328258 DOI: 10.1136/bmjopen-2020-040269] [Cited by in Crossref: 16] [Cited by in F6Publishing: 11] [Article Influence: 8.0] [Reference Citation Analysis]
11 Jones OT, Calanzani N, Saji S, Duffy SW, Emery J, Hamilton W, Singh H, de Wit NJ, Walter FM. Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review. J Med Internet Res 2021;23:e23483. [PMID: 33656443 DOI: 10.2196/23483] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Drozdowski R, Sinha S, Lin G, Feng H. Accuracy of popular online symptom checkers for dermatological diagnoses. Clin Exp Dermatol 2021. [PMID: 34609769 DOI: 10.1111/ced.14960] [Reference Citation Analysis]
13 Rowland SP, Fitzgerald JE, Holme T, Powell J, McGregor A. What is the clinical value of mHealth for patients? NPJ Digit Med 2020;3:4. [PMID: 31970289 DOI: 10.1038/s41746-019-0206-x] [Cited by in Crossref: 56] [Cited by in F6Publishing: 32] [Article Influence: 28.0] [Reference Citation Analysis]
14 Fraser H, Coiera E, Wong D. Safety of patient-facing digital symptom checkers. Lancet 2018;392:2263-4. [PMID: 30413281 DOI: 10.1016/S0140-6736(18)32819-8] [Cited by in Crossref: 60] [Cited by in F6Publishing: 31] [Article Influence: 15.0] [Reference Citation Analysis]
15 Pradeep T, Ravipati A, Melachuri S, Fu R. More than just a stye: identifying seasonal patterns using google trends, and a review of infodemiological literature in ophthalmology. Orbit 2022;:1-8. [PMID: 35240907 DOI: 10.1080/01676830.2022.2040542] [Reference Citation Analysis]
16 Levine DM, Co Z, Newmark LP, Groisser AR, Holmgren AJ, Haas JS, Bates DW. Design and testing of a mobile health application rating tool. NPJ Digit Med 2020;3:74. [PMID: 32509971 DOI: 10.1038/s41746-020-0268-9] [Cited by in Crossref: 16] [Cited by in F6Publishing: 11] [Article Influence: 8.0] [Reference Citation Analysis]
17 Högqvist Tabor V, Högqvist Tabor M, Keestra S, Parrot JE, Alvergne A. Improving the Quality of Life of Patients with an Underactive Thyroid Through mHealth: A Patient-Centered Approach. Womens Health Rep (New Rochelle) 2021;2:182-94. [PMID: 34235505 DOI: 10.1089/whr.2021.0010] [Reference Citation Analysis]
18 Hennemann S, Kuhn S, Witthöft M, Jungmann SM. Diagnostic Performance of an App-Based Symptom Checker in Mental Disorders: Comparative Study in Psychotherapy Outpatients. JMIR Ment Health 2022;9:e32832. [PMID: 35099395 DOI: 10.2196/32832] [Reference Citation Analysis]
19 Abebe E, Campbell NL, Clark DO, Tu W, Hill JR, Harrington AB, O'Neal G, Trowbridge KS, Vallejo C, Yang Z, Bo N, Knight A, Alamer KA, Carter A, Valenzuela R, Adeoye P, Boustani MA, Holden RJ. Reducing anticholinergic medication exposure among older adults using consumer technology: Protocol for a randomized clinical trial. Res Social Adm Pharm 2021;17:986-92. [PMID: 33773639 DOI: 10.1016/j.sapharm.2020.10.010] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
20 Sobolev M, Vitale R, Wen H, Kizer J, Leeman R, Pollak JP, Baumel A, Vadhan NP, Estrin D, Muench F. The Digital Marshmallow Test (DMT) Diagnostic and Monitoring Mobile Health App for Impulsive Behavior: Development and Validation Study. JMIR Mhealth Uhealth 2021;9:e25018. [PMID: 33480854 DOI: 10.2196/25018] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
21 Baker A, Perov Y, Middleton K, Baxter J, Mullarkey D, Sangar D, Butt M, DoRosario A, Johri S. A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis. Front Artif Intell 2020;3:543405. [PMID: 33733203 DOI: 10.3389/frai.2020.543405] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]