AI for medical
Artificial Intelligence for healthcare
Our AI for doctors analyzes medical images, summarizes patient records, supports clinical decisions, and generates clear reports—improving accuracy, efficiency, and patient care while ensuring data privacy and security.
Focused on clinical support — built to help doctors, not replace them.
Protects patient data while ensuring compliance with HIPAA, GDPR, and LGPD.
Trained on medical knowledge to assist with exams, records, and diagnosis.
Why use WingFy Medical AI instead of ChatGPT, Claude, or other tools?
WingFy is built specifically for healthcare and runs in a private, secure environment, giving you full control of your data. It interprets exams, summarizes records, and supports clinical decisions in a secure environment where patient data is never shared, stored, or used for training. Unlike public AI tools, WingFy ensures full compliance with HIPAA, GDPR, LGPD, and other medical data protection regulations — giving doctors confidence, accuracy, and total data privacy.
| Criteria | Public AI (ChatGPT, Gemini, Claude and others) | Private AI (WingFy) |
|---|---|---|
| Data control | Limited. Data may be processed beyond your control | Full control. You define what enters, leaves, and persists |
| Training with your data | May be used to improve the model | You decide whether to train with your own data |
| Deletion rights | Not guaranteed. No way to selectively delete prompts | Full control. Can delete logs and models on demand |
| CCPA / CPRA compliance | Possible, but risky. Depends on provider contract | Easier compliance: full control and traceability |
| Data leak risk | Higher — shared with other users and companies | Isolated environment |
| Auditability / logs | Limited or nonexistent | Full — you define logging and tracking levels |
| Customization | Limited (prompt engineering) | High — can train, fine-tune, and adapt with own data |
| Integration with internal systems | Limited — depends on provider’s API | Full — can integrate directly with CRM, databases, etc. |
| End-user trust | Users may distrust if they know data goes to the cloud | More trust due to being a secure internal solution |
AI Medical Examples
These cases illustrate how WingFy uses Google’s Health AI to analyze images, suggest diagnoses, and provide clinical insights. They represent just one example of use, among many other medical applications available.
Prompt:
You are an expert radiologist. Please succinctly describe the findings for the chest x-ray.
AI:
The chest X-ray shows a large left pneumothorax with a chest tube in place. There is also a possible nodule in the right upper lobe. The mediastinum is midline. The heart size is normal. There is no evidence of pulmonary edema.
Prompt:
What do you think is the most likely condition in this image? Keep your answer brief
AI:
Based on the image, the most likely condition is a basal cell carcinoma (BCC). The presence of a pearly or waxy bump with visible blood vessels is a classic sign.
Prompt:
Describe this image and provide the most likely condition. Keep your answer brief.
AI:
The image shows a high-grade invasive carcinoma with significant cellular atypia, prominent nucleoli, and increased mitotic activity. This indicates a malignant tumor with aggressive growth.
Most likely diagnosis: High-grade invasive carcinoma (the specific type would require further information about the tissue origin).
"When patients know their data is safe, trust becomes a doctor’s most valuable asset."
What’s the value of your patients’ data? And your clinic’s medical records? Would you feel comfortable knowing this sensitive information could be used to train third-party AI — or even resurface in conversations worldwide? That’s exactly what happens when you use public AIs like ChatGPT, Claude, and others. To truly protect patient confidentiality, a medical-focused private AI is the only reliable choice.
Try for Free
Experience our Medical AI with a free trial — test it directly with your own cases and clinical routine.
FAQ
Have questions? Check our FAQ to find the answers you’re looking for
Below is a breakdown of the main data protection laws — GDPR, HIPAA, and CCPA — including full legal articles and how private AI (like WingFy) ensures compliance where public AI tools typically cannot.
GDPR – General Data Protection Regulation (European Union)
Article 5 – Principles relating to processing of personal data
Personal data shall be:
a) Processed lawfully, fairly and in a transparent manner;
b) Collected for specified, explicit and legitimate purposes and not further processed in a manner incompatible with those purposes (purpose limitation);
c) Adequate, relevant and limited to what is necessary in relation to the purposes (data minimisation);
d) Accurate and kept up to date;
e) Kept no longer than is necessary (storage limitation);
f) Processed in a manner ensuring appropriate security, including protection against unauthorised or unlawful processing.
Article 6 – Lawfulness of processing
Processing shall be lawful only if and to the extent that at least one of the following applies:
a) The data subject has given consent;
b) It is necessary for the performance of a contract;
c) Legal obligation;
d) Vital interests of the data subject;
e) Public interest or official authority;
f) Legitimate interests pursued by the controller, unless overridden by the rights of the data subject.
Comment – GDPR: Public AI vs. Private AI
Public AI often processes data with broad terms, vague purposes, and potential secondary use (e.g., model training), conflicting with purpose limitation, data minimization, and transparency.
Private AI (WingFy) can be configured to:
– Operate under a specific and lawful purpose
– Avoid data retention and sharing
– Fully support data subject rights and accountability
HIPAA – Health Insurance Portability and Accountability Act (USA – Healthcare)
Privacy Rule (45 CFR §164.502)
Protected Health Information (PHI) may only be used or disclosed:
– With explicit authorization from the individual, or
– For treatment, payment, or healthcare operations, and
– In accordance with strict privacy and security safeguards.
Security Rule (45 CFR §164.306)
Covered entities must implement:
– Administrative, physical, and technical safeguards to ensure the confidentiality, integrity, and availability of ePHI.
Comment – HIPAA: Public AI vs. Private AI
Public AI tools present a risk of unauthorized access or data retention that violates HIPAA's strict security and privacy requirements.
WingFy, being self-hosted and not storing any PHI, allows full control over security measures and can operate in HIPAA-compliant environments.
CCPA – California Consumer Privacy Act (California, USA)
Section 1798.100 – Right to Know
Consumers have the right to know:
– What personal data is being collected
– Whether it is being sold or disclosed
– To whom it is being disclosed
Section 1798.105 – Right to Delete
Consumers may request the deletion of their personal information, with limited exceptions.
Section 1798.120 – Right to Non-Discrimination
Businesses may not discriminate against a consumer for exercising their privacy rights (e.g., charging higher prices for refusing data collection).
Comment – CCPA: Public AI vs. Private AI
Public AI platforms rarely offer real-time deletion or full data transparency to end users, and often reuse inputs for model improvements.
Private AI (WingFy) retains no data, meaning:
– Nothing to delete
– No third-party sharing
– Easy and automatic CCPA compliance by design