Search Tag: Medical AI
2025 04 Nov
AI is moving quickly into healthcare, but value depends on disciplined adoption rather than broad experimentation. Organisations need to start from defined operational problems, choose tools that address them, and measure outcomes that matter for patients and staff. Effective programmes pair human-in-the-loop oversight with targeted pilots, so...Read more
2025 18 Aug
Artificial intelligence is at the heart of many of today’s most ambitious startups. While new ventures span diverse industries from defence to creative design, healthcare stands out as a field where AI applications are already addressing pressing challenges. Startups are combining data analytics, automation and natural language processing to improve...Read more
2025 21 Jul
Health disparities persist across global healthcare systems, particularly within primary care. These inequities often stem from systemic factors such as socioeconomic status, race, geography and digital exclusion. Artificial intelligence presents a potential catalyst for transformation, offering the means to improve diagnostic accuracy, extend...Read more
2025 31 May
Healthcare leaders today face the dual challenge of enhancing patient outcomes while maintaining operational efficiency. At the intersection of these objectives stands the Clinical Decision Support System (CDSS), a technology capable of delivering timely, evidence-based insights that support clinical judgement. When integrated correctly, CDSS...Read more
2024 21 Oct
Healthcare has experienced profound changes in the past few decades, driven by the integration of health information technology (HIT). At the centre of this evolution are physician leaders who oversee healthcare informatics systems and their development, including Chief Medical Information Officers (CMIOs). These leaders have become key players...Read more
2024 11 Jul
Less than five months after its launch, French startup Bioptimus has announced the release of H-optimus-0, the world’s largest open-source AI foundation model for pathology. With 1.1 billion parameters, H-optimus-0 is trained on a proprietary dataset of several hundreds of millions of images extracted from over 500,000 histopathology slides...Read more