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The Rise of AI Chatbots in UK Healthcare A UK study has found that one in seven people are using AI chatbots for health advice instead of seeing their GP. The poll of more than 2,000 people revealed that 15% of respondents are turning to chatbots, with one in four having done so because of long NHS waiting lists. The Risks of AI in Healthcare The study, analysed by researchers at King's College London, highlighted the potential risks of using AI for health advice. A fifth of respondents who used chatbots said the technology did not encourage them to seek a professional opinion, and a similar proportion said they decided against seeking a consultation because of something an AI chatbot had told them. The Concerns of Medical Professionals Prof Graham Lord, the lead author of the study, said the growing individual use of chatbots was creating “an unregulated AI healthcare system alongside the NHS”. He added that there is a need for greater transparency about what works, what is safe, and how issues are handled. The Debate on AI in Clinical Decision-Making Respondents were split on whether AI should be used in clinical decision-making, with 37% in favour and 38% against. Prof Victoria Tzortziou Brown, the president of the Royal College of General Practitioners, said it would be “highly concerning” if people were using AI instead of seeing a GP. The Future of AI in Healthcare The research signals how the technology is changing the way people are dealing with health problems. Medical professionals stress that AI can provide quick answers, but it cannot examine a patient, fully understand their medical history, or make safe clinical judgments based on evidence.

The Journey from Prototype to ClearanceBuilding a medical device is fundamentally different from standard software development. This week on Build Mode, host Isabelle Johannessen sat down with Robhy Bustami, co-founder and CEO of BioticsAI, to discuss the arduous path from a $100,000 prototype to FDA clearance. Bustami, a Startup Battlefield winner, detailed how his team is building an AI copilot for ultrasound designed to detect fetal abnormalities. The conversation revealed that the traditional startup mantra of 'move fast and break things' is obsolete in the medical sector, replaced by a necessity for extreme precision and coordination.Market Validation and Resource AllocationThe episode provides a strategic look at the 'data' driving medtech success. BioticsAI's recognition as a Startup Battlefield winner serves as a key validation of their technology's potential. However, Bustami emphasized that the primary data point for founders is not just market traction, but the successful navigation of complex regulatory pathways. This requires a significant reallocation of resources—shifting focus from rapid feature deployment to ensuring safety, reliability, and compliance with FDA standards.Shifting the MedTech CultureThe core impact of this discussion lies in the cultural shift it highlights for the industry. As timelines for FDA approval remain uncertain, the ability to maintain team morale and investor confidence becomes a critical operational metric. Bustami noted that building in a regulated industry requires a foundation of trust rather than speed. This signals a broader trend where medtech startups must balance the pressure of hyper-growth with the ethical and legal responsibilities of patient safety.The Future of AI in Healthcare RegulationLooking ahead, the medtech landscape will likely see a consolidation of companies that prioritize long-term compliance over short-term hype. As more AI copilots enter the market, the winners will be those founders who master the art of 'slow and steady' innovation. The next wave of medical breakthroughs will depend not just on algorithmic superiority, but on the ability to build sustainable organizations capable of weathering the regulatory storm.