WO2025202687 - DIAGNOSTIC ASSISTANCE SYSTEM AND REPORT WRITING OF SOME MEDICAL FINDINGS WITH ARTIFICIAL INTELLIGENCE
National phase entry is expected:
Publication Number
WO/2025/202687
Publication Date
02.10.2025
International Application No.
PCT/IB2024/052984
International Filing Date
27.03.2024
Title **
[English]
DIAGNOSTIC ASSISTANCE SYSTEM AND REPORT WRITING OF SOME MEDICAL FINDINGS WITH ARTIFICIAL INTELLIGENCE
[French]
SYSTÈME D'AIDE AU DIAGNOSTIC ET ÉTABLISSEMENT DE RAPPORT CONCERNANT CERTAINS RÉSULTATS MÉDICAUX FAISANT APPEL À L'INTELLIGENCE ARTIFICIELLE
Applicants **
KAMEL ATTARKAR, Mahziyar
CHAMANI, Jamshid khan
Inventors
KAMEL ATTARKAR, Mahziyar
CHAMANI, Jamshid khan
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
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| Pages of Specification | * |
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International Searching Authority |
IP India
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Natural Person
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| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
* |
| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 1882 | |
| EPO | Filing, Examination, Granting | 8722 | |
| Japan | Filing, Examination, Granting | 2014 | |
| South Korea | Filing, Examination, Granting | 1696 | |
| USA | Filing, Examination, Granting | 8940 |
Total:
23,254
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Abstract[English]
This invention introduces a program within the fields of radiology and pathology, leveraging artificial intelligence as a user-friendly diagnostic assistant. Programmed primarily in Python, users can easily interact with the system, choosing among four distinct modules: chest X-ray, liver, Pap smear, and bone fracture diagnostics. Upon uploading the relevant image and submitting it, YOLO (you only look once) version. 8 efficiently detects and analyzes the input images. The integration includes prompt engineering after receiving the required information of the patient and doctor, then it establishes a connection with OpenAI APIs for seamless information exchange and present it to the users. Then there is this chance of allowing users to pose additional questions before receiving the diagnosis report in a printable format which is a Microsoft word file. The patent's main purpose is to elevate accuracy levels in medical diagnosis, real-time imaging responses, and accessibility for users without specialized knowledge.[French]
La présente invention introduit un programme relevant des domaines de la radiologie et de la pathologie, qui exploite l'intelligence artificielle sous la forme d'un assistant de diagnostic convivial. Le système est programmé principalement en Python et permet une interaction facile pour ses utilisateurs, qui peuvent choisir parmi quatre modules distincts : les radiographie thoracique, le foie, le frottis cervico-vaginal et les diagnostics de fracture osseuse. Une fois que l'image pertinente a été téléversée et soumise, en version YOLO (consultation unique), le système détecte et analyse efficacement les images entrées. L'étape d'intégration comprend une action de rédactique après réception des informations requises du patient et du médecin, puis une action de connexion aux API de OpenAI pour un échange d'informations sans interruption, et enfin la présentation aux utilisateurs. Il est ensuite possible de permettre aux utilisateurs de poser des questions supplémentaires avant qu'ils reçoivent le rapport de diagnostic dans un format imprimable, à savoir un fichier Microsoft Word. Le but principal du brevet est d'améliorer la précision dans le diagnostic médical, les réponses d'imagerie en temps réel et l'accessibilité pour les utilisateurs sans connaissances spécialisées.