Better Medicine is an innovative Estonian MedTech company pioneering AI-powered diagnostic tools for cancer detection, particularly focusing on enhancing radiology workflows and improving patient outcomes in oncology. Founded in 2020, Better Medicine is distinguished by its holistic, multi-organ AI approach, addressing key challenges in the detection and measurement of oncological findings, mainly from CT scans. This AI-driven technology seeks to alleviate the increasing pressures faced by radiologists worldwide due to the rising volume of imaging studies and the shortage of qualified professionals. In this article, we explore ten key aspects of Better Medicine that explain its significance in the evolving landscape of medical diagnostics.
Better Medicine develops advanced AI software that automates the detection and measurement of cancer lesions in CT scans. Unlike many traditional AI tools that focus on single organs, Better Medicine's solutions adopt a multi-organ perspective, enabling comprehensive detection of primary tumors, metastases, and incidental findings. The software is designed to seamlessly integrate into existing radiology workflows and PACS systems, reducing manual, repetitive tasks and allowing healthcare professionals to prioritize complex clinical decisions. This innovation enhances diagnostic speed and accuracy, potentially leading to earlier cancer detection and improved treatment outcomes.
One of Better Medicine's flagship products is BMVision Kidney, the first AI-based kidney cancer diagnostic tool to receive CE certification under the EU Medical Device Regulation. This Class IIa medical device uses deep learning trained on annotated clinical datasets to identify renal lesions with a 96% standalone accuracy and a 99.2% detection rate when combined with radiologist input. BMVision Kidney not only detects but also measures lesions accurately, speeding up reporting and facilitating better patient management.
Worldwide, radiology is facing a critical shortage of specialists. For instance, data from the UK shows just 10 radiologists per 100,000 population, with many radiology job posts remaining unfilled. The rapidly aging population increases imaging demand, worsening the scarcity. Better Medicine’s AI tools reduce the time radiologists spend on lesion detection and measurement by up to 52%, cutting down administrative burden and helping prevent burnout. Such efficiency gains can improve diagnostic throughput and healthcare sustainability.
Better Medicine’s products are clinically validated in partnership with prominent hospitals and research institutions, including Leeds Teaching Hospitals NHS Trust, Tartu University Hospital, and University Medical Center Mainz. These collaborations support rigorous testing and real-world clinical integration. The strong validation ensures that the AI outputs are reliable and accepted by medical professionals, fostering confidence in AI-assisted diagnostics.
In August 2025, Better Medicine raised €1 million in a pre-seed funding round led by Soulmates Ventures, supplemented by grants from the European Innovation Council and other investors. This funding aims to support expansion across Europe, prepare for FDA regulatory clearance in the U.S., and broaden their product portfolio to cover other organs and metastatic sites. Clinical pilots planned in the U.S. will align with FDA requirements to facilitate market entry.
By enabling faster and more accurate cancer detection, Better Medicine's AI solutions improve patient outcomes. Early diagnosis is a critical factor in effective cancer treatment, and the reduction of diagnostic delays can significantly influence survival rates. Moreover, automated lesion measurements standardize reporting, minimizing human error and variability, thus increasing healthcare quality and safety.
Better Medicine emphasizes integration ease, ensuring their AI tools can work within existing hospital radiology information systems and picture archiving and communication systems (PACS). The company also offers features like a semi-automated lesion measurement tool (iMeasure) and automated reporting to enhance workflow efficiency. This design consideration minimizes disruption to clinical sites adopting the technology.
Repetitive manual tasks in radiology contribute heavily to professional burnout, compromising job satisfaction and increasing error risk. Better Medicine's AI offloads these burdens, allowing radiologists to focus on higher-level diagnostic and clinical judgment tasks. This approach supports better resource management and sustains workforce well-being.
Better Medicine has been recognized among the top 38 MedTech companies globally by the UK publication TechRound, ranking 25th. This acknowledgment underscores the company’s promising innovation and its strategic importance in key markets like the UK, where they aim to expand their clinical partnerships and presence.
Better Medicine is preparing further product developments to extend AI diagnostics beyond kidney cancer to other oncological areas, reflecting a broader vision to transform cancer care comprehensively. The company is developing clinical and insurance partnerships to prove cost-effectiveness and pave the way for broader adoption. The rapid evolution of AI tools in oncology positions Better Medicine at the forefront of a technological shift that combines machine intelligence with expert clinical care.
Better Medicine exemplifies the transformative potential of artificial intelligence in modern medicine, specifically within cancer diagnostics. Through its clinically validated AI solutions, seamless integration capabilities, and focus on enhancing radiologist efficiency and patient outcomes, the company addresses significant challenges in healthcare delivery. As Better Medicine expands internationally and broadens its product scope, its innovations could play a pivotal role in improving cancer detection, reducing diagnostic workload, and ultimately saving lives. The progress of Better Medicine invites reflection on how AI will continue to reshape diagnostic medicine and the collaborative future of technology and human expertise in healthcare.