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Riverside 1 Clinic

In September 2020 we opened our new location, Riverside Medical Clinic, where we make available to patients for medical imaging investigations two state-of-the-art General Electric MRI machines, 2020. In addition, we have created a special environment for patients, for a special comfort, as we have already accustomed to all our patients.
  • Address:   Splaiul Independentei nr. 291-293, Riverside Tower building (former building of the City Hall), sector 6, Bucuresti
  • STB:
    • 1, 10, 11, 35 – station “Pod Grozavesti”
    • 105 – from Valea Oltului (Dr. Taberei) “Sos Orhideelor” station
    • 105 – from Piata Presei Libere “Grozavesti Bridge” station
    • 601 – from Lake Morii station “Economu Atanasie Stoicescu”
    • 601 – from Rosetti Square “Camin U 4” station
  • Phone: 031.425.79.90 / 031.426.09.02
  • Mobile: 0725.060.993 / 0751.060.998
  • E-Mail: riverside@medicales.ro
  • Services:
    • MRI
    • MRI
    • Ultrasound
    • Neurology

RIVERSIDE CLINIC is located in Splaiul Independentei no. 291-293, Riverside Tower Building, Sector 6, where we provide patients with two state-of-the-art General Electric MRI machines for performing magnetic resonance investigations at the highest technological level.

Magnet homogeneity and advanced technologies which has the SIGNA Explorer system, produced by General Electric, offers the security of a quick examination, with the best quality clinical information and ensures the total comfort of the patient. The low noise emission during operation and equipment with the patient relaxation system considerably reduces the discomfort created by the classic magnetic resonance systems. Regarding the spine, the ability to scan large areas and the motion correction techniques allow acquisition of clear images, resistant to artifacts caused by patient motion and by the flow of cerebrospinal fluid.
The device is equipped with IDEAL software designed specifically for the scanning of difficult regions such as the neck and spine, where ordinary scanning techniques fail because of inhomogeneous magnetic fields.
Using non-invasive technology, CARTIGRAM, the equipment can evaluate the extracellular cartilage matrix. The equipment allows obtaining clear images in musculoskeletal studies even in patient movement. Furthermore, using advanced software MAVRIC SL high quality images are obtained when scanning soft tissue or bone tissue, even in the vicinity of implants compatible with magnetic resonance system.
Built with SIGNA DNA, the pioneer of magnetic resonance imaging, SIGNA Creator provides exceptional image quality and ensures detailed clinical information, using advanced software such as motion artifact correction.

Ultrasound

Vinno E10 is the ultrasound that perfectly encompasses the instruments and mechanisms of a fast and efficient way of ultrasonographic diagnosis. The basic technology of the Vinno E10 ultrasound scanner, the platform with RF modulation, innovation of the Vinno company – VISION IN INNOVATION – is the basis of the superior image quality, the signal processing being of a remarkable accuracy. The VinnoCloud platform with Artificial Intelligence automatic diagnostic functions helps the specialist to make the decision quickly and safely. Vinno E10 is an ultrasound in which performance, flexible configuration and compact design meet a wide variety of clinical requirements and ensure a reliable diagnosis.

There are 2.08 million new cases of breast cancer each year, and unfortunately 627,000 women die from this deadly disease. Late diagnosis of these tumors is one of the factors influencing the above figures.

The involvement of VINNO engineers in the prevention of this disease among women and in the continuous development of ultrasonography has given birth to VAid technology. Unique technology, VINNO innovation, helps to detect an early lesion in the breast, identifying a correct and important diagnosis for the life and safety of the patient, through an artificial intelligence system for automatic detection of any breast lesion.
VINNO uses data from hundreds and thousands of examinations through the FLYINSONO platform to determine the characteristics of the breast lesions scanned and introduced into the system and allowing an analysis of them in order to establish the probability that the lesion is malignant or benign.
The self-learning algorithm used (“Artificial Intelligence”) can improve the accuracy of diagnostic imaging results by providing analysis, segmentation, and evaluation of lesion characteristics.