Article
Methodology And Sources
Public Sono Ai Report guide about Methodology And Sources, with context, preparation notes, references and safety limits for ultrasound use.
How the content is built
Sono Ai Report starts from the daily practice of ultrasound reporting. The internal content is organized by exams, findings, measurements, phrases, templates, references, calculators and useful alerts for the physician who needs to transform the exam into reviewable text.
The methodology does not treat AI as a clinical author. It uses automation to reduce typing friction, standardize and organize text, preserving the physician's review and professional responsibility.
Sources and traceability
- References are organized in an internal database before being exposed as user support.
- Ultrasound Academy educational materials help demonstrate authorship, scope and continuity of work in ultrasound.
- Public pages on security, privacy, terms, subprocessors and contact provide institutional context to the product.
- Items without sufficient support must remain under internal review before becoming a public statement or active rule.
Public reference sources
This list does not replace reading the original guidelines or the internal policy of each service. It makes visible part of the reference ecosystem used to guide terminology, documentation, classifications and medical review.
How assistive AI fits into the method
- Manual reporting remains available without relying on AI.
- AI text organizes information provided by the physician into a report format.
- Voice dictation turns speech into an editable draft.
- Missing measurements, findings and conclusions must not be invented.
- The medical user remains responsible for reviewing, editing and signing.
Declared limits
Sono Ai Report is a documentation tool and support for report organization. It does not perform exams, does not replace the physician, does not sign reports, does not confirm diagnoses autonomously and should not be used as the sole source of clinical decision.
This limit is explicitly published because trust in health depends on clear responsibility: who informs, who reviews, which source supports the text and what role automation actually plays.
Verifiable entities
Institutional responsible: {COMPANY_NAME}, CNPJ {COMPANY_TAX_ID}. Page updated on {LEGAL_UPDATED_AT}.
Need to contact the Sono Ai Report team?
support@sonoaireport.comThis page summarizes operational practices in plain language. It does not replace legal advice, an agreement with your institution or internal medical-record policy.