Reference health
Understanding and Utilizing Medical Artificial Intelligence
39/39 checkable references clean · checked 2026-08-28
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 39 checked references that resolve
resolves10.1038/s41591-018-0300-7
High-performance medicine: the convergence of human and artificial intelligence
resolves10.1038/nature21056
Dermatologist-level classification of skin cancer with deep neural networks
resolves10.1001/jamanetworkopen.2018.6937
Machine Learning–Based Prediction of Clinical Outcomes for Children During Emergency Department Triage
resolves10.1089/heq.2018.0037
The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries
resolves10.1002/bdm.741
What People Want From Their Professionals: Attitudes Toward Decision‐making Strategies
resolves10.1177/2053951715622512
How the machine ‘thinks’: Understanding opacity in machine learning algorithms
resolves10.1037/0033-295X.84.3.231
Telling more than we can know: Verbal reports on mental processes.
resolves10.1016/j.jesp.2006.05.011
Valuing thoughts, ignoring behavior: The introspection illusion as a source of the bias blind spot
resolves10.1086/667782
Explanation Fiends and Foes: How Mechanistic Detail Determines Understanding and Preference
resolves10.1207/s15516709cog2605_1
The misunderstood limits of folk science: an illusion of explanatory depth
resolves10.3122/jabfm.2016.06.160079
A Clinical Aid for Detecting Skin Cancer: The Triage Amalgamated Dermoscopic Algorithm (TADA)
resolves10.1007/s11606-018-4311-3
A Randomized Trial on the Efficacy of Mastery Learning for Primary Care Provider Melanoma Opportunistic Screening Skills and Practice
resolves10.1177/0022242919842167
Knowing What It Makes: How Product Transformation Salience Increases Recycling
resolves10.1073/pnas.1805363115
Field studies of psychologically targeted ads face threats to internal validity
resolves10.1037/xge0000033
Algorithm aversion: People erroneously avoid algorithms after seeing them err.
resolves10.1177/0956797620948841
People Reject Algorithms in Uncertain Decision Domains Because They Have Diminishing Sensitivity to Forecasting Error
resolves10.1371/journal.pone.0209863
Randomized trial of planning tools to reduce unhealthy snacking: Implications for health literacy
resolves10.2196/jmir.1619
eHealth Literacy: Extending the Digital Divide to the Realm of Health Information
resolves10.1037/a0020218
Missing the trees for the forest: A construal level account of the illusion of explanatory depth.
resolves10.1073/pnas.1806781116
Fighting misinformation on social media using crowdsourced judgments of news source quality
resolves10.3758/s13428-013-0434-y
Reputation as a sufficient condition for data quality on Amazon Mechanical Turk
resolves10.1073/pnas.1706913114
Temporary sharing prompts unrestrained disclosures that leave lasting negative impressions
The 7 references without a DOI — listed, not checked
no DOI — not checkedDoctors are using AI to triage covid-19 patients. The tools may be here to stay
no DOI — not checkedAccountable algorithms
no DOI — not checkedABCD rule of dermatoscopy: a new practical method for early recognition of malignant melanoma
no DOI — not checkedref27
no DOI — not checkedref32
no DOI — not checkedref33
no DOI — not checkedArtificial Intelligence in Utilitarian vs. Hedonic Contexts: The "Word-of-Machine
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carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-08-28 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
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