Large language models are becoming part of doctors’ daily work. Experts predict a radical transformation that will ease physicians’ workload and improve patient experience.
Artificial intelligence is stepping into the doctor’s surgery – and not merely as an assistant, but as part of the care process itself. Large language models are rapidly transforming how patients are treated, research is conducted, and information is processed. Whilst challenges abound, experts predict a radical transformation in healthcare digitalisation over the next five years.
Artificial intelligence is no longer a distant promise of the future but a concrete tool that is transforming healthcare from patient encounters to diagnoses. Finnish companies and researchers are at the forefront of developments where algorithms don’t just support doctors – they complement them.
Healthcare is undergoing a fundamental transformation as artificial intelligence and large language models surge into consultations, diagnostics, and administrative tasks. In Finland, AI is being increasingly utilised in areas such as cancer diagnostics and brain imaging.
Cybercriminals Are Poisoning AI Chatbots with Lies and Propaganda—And Your Business Could Be Next Companies face new reputational risks as artificial intelligence systems can be systematically manipulated to spread misinformation and propaganda. You can read… Cybercriminals Are Poisoning AI Chatbots with Lies and Propaganda—And Your Business Could Be Next
What if your company’s chatbot started repeating falsehoods – and no one noticed why? A new phenomenon called LLM grooming reveals how AI can be manipulated quietly and systematically. The result may be a reputational crisis, misleading analytics, and a dangerous trust in the machine’s word.
Artificial intelligence is revolutionizing systematic literature reviews, dramatically reducing the time required while introducing new methodological considerations. This article critically examines AI’s role as both enabler and gatekeeper in the SLR process, analyzing its benefits for efficiency, challenges to reliability, and emerging applications that are reshaping academic research practices.
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