Samsung, India’s largest consumer electronics brand, announced the launch of its R20 ultrasound system for general imaging. The system combines artificial intelligence tools, image clarity, and an ergonomic design for clinician comfort and efficiency.
Built on Samsung’s Crystal Architecture, the R20 delivers image uniformity, resolution, and penetration across a range of general imaging applications. Its imaging engine, GPU, and ultra-high-definition OLED monitor provide clinicians with visualisation and diagnostic confidence in every scan.
The R20 includes a suite of AI-powered clinical and workflow enhancement tools. Key technologies include:
- Live LiverAssist – Detects suspicious focal lesions during live ultrasound scans.
- Live BreastAssist – Real-time detection of breast lesions with BIRADS classification and reporting.
- Auto measurement tools – AI-based automatic detection and measurement of internal structures with guided reporting.
- Deep USFF – AI-based deep ultrasound fat fraction quantification with high correlation to MRI PDFF.
The system delivers performance across clinical applications including abdomen, thyroid, musculoskeletal, vascular, breast, obstetrics, gynaecology, and urology imaging. Enhanced Doppler sensitivity and colour flow visualisation allow detection of subtle vascular structures and pathologies.
Atantra Das Gupta, Head of HME Business, Samsung India, said: “The R20 embodies Samsung’s commitment to advancing healthcare through intelligent innovation. With AI at its core and a focus on both image excellence and clinician comfort, the R20 is a paradigm shift in ultrasound technology helping doctors ensure detection of lesions during live scanning.”
The R20 emphasises user comfort and operational efficiency. It features lightweight transducer cables, an intuitive touch interface, and customisable system configurations to meet clinical needs. The design aims to reduce strain and fatigue for clinicians.
With the launch of the R20, Samsung aims to advance healthcare technology, combining AI-driven intelligence, imaging performance, and a clinician- and patient-centred design.