On December 8, 2025, the remote imaging AI-assisted diagnostic system jointly launched by the Health Community of West Africa (HCOWA) and Chengdu UESTC Goldisc Health Data Technology Co., Ltd. (GOLDISC, DICOM Standard National and Local Collaborated Engineering Laboratory) successfully landed in Ghana. This groundbreaking progress has brought about a transformation in Ghana's healthcare sector and has become another exemplary model of China-Ghana healthcare cooperation.

Ghana has long been grappling with an inequitable allocation of healthcare resources. Premium medical resources are predominantly concentrated in a handful of major urban centers, including Accra and Kumasi, whereas primary healthcare facilities are either devoid of diagnostic equipment or equipped with outdated apparatus. Additionally, there is a severe shortage of qualified diagnostic physicians at the grassroots level. Consequently, patients are often compelled to undertake arduous and lengthy journeys in pursuit of medical care, incurring substantial expenditures of both time and money, which frequently results in the exacerbation or delay of their medical conditions.

Capitalizing on its expertise in healthcare informatization and medical image processing, Goldisc has developed a bespoke intelligent cloud - based imaging examination platform tailored to the specific requirements of grass - roots clinics and medical institutions. The remote imaging AI - assisted diagnostic system jointly deployed by HCOWA and Goldisc precisely aligns with the demands of both medical practitioners and patients. On the same day, the system, for the first time, comprehensively generated the inaugural batch of AI - generated radiological and ultrasonic examination reports, complete with images and text, in Ghana.

Under the traditional paradigm, following the drafting of reports by physicians, there is an absence of effective review mechanisms, which often leads to oversight errors. Goldisc's AI - assisted diagnostic system functions akin to a rigorous medical expert, endowed with robust report - review functionalities. It can precisely pinpoint grammatical inaccuracies and inappropriate terminologies within reports. Furthermore, drawing upon a comprehensive medical knowledge repository and clinical case datasets, it can appraise the precision of diagnostic conclusions and the accuracy of disease descriptions, thereby exerting a substantial impact on elevating the quality of radiological imaging reports.

This system incorporates advanced AI technology. Upon detecting issues, it promptly provides feedback along with corrective suggestions to assist physicians in refining their reports. The rigorous and efficient image - text reports have garnered high recognition from both doctors and patients.

The successful application of this platform has responded to the cooperation agreement signed between GOLDISC and the University of Cape Coast (UCC) in Ghana. It provides a practical and feasible solution for "Health Ghana" and is emerging as a crucial support for the Ghanaian government's "Digital Ghana" strategy and the Ministry of Health's "Five-Year Digital Health Development Plan".

About “Health Ghana” 123 Project

1. Project Positioning and Background

It aims to elevate Ghana's medical service standards through medical imaging technology, and is led by Chengdian Jinpan Company, which possesses a national-level DICOM standard laboratory. The company boasts outstanding technical prowess, having published multiple international/domestic medical imaging standards and been selected as one of the top 10 most competitive PACS system providers globally in 2024.

2.Three-layer Architecture Design

One medical imaging diagnosis cloud platform: It connects 20 central hospitals and 300 clinics, enabling centralized sharing of imaging data.

20 central hospitals: Serving as regional medical imaging diagnosis centers, they provide high-quality imaging filming and diagnostic services.

300 clinics: As grassroots outlets, they are responsible for guiding patients and making appointments, forming a tiered diagnosis and treatment model of "grassroots examination + central diagnosis".

3. Innovative Service Model

Process Optimization: Clinic appointment → Imaging at the center → Expert cloud-based image interpretation within 4 hours → Report feedback. This model supports full-scenario coverage 24/7 (for routine, complex, and emergency consultations).

Technical Support: Relying on the "GOLDISC PACS System", it has processed over 15 billion images. It is equipped with advanced image processing functions such as multi-planar reconstruction and 3D rendering. Moreover, it employs standardized report templates to ensure diagnostic consistency.

4. Core Strengths

Technological Leadership: The self-developed "Golden Ant" software supports the processing of all types of DICOM files and has passed international DICOM standard certification.

Social Value: By integrating resources through the cloud platform, it reduces grassroots healthcare costs, enhances the accessibility of authoritative expert diagnoses, and benefits the people of Ghana.