The Strategic Acquisition
Baseten, the infrastructure company powering inference for some of the world’s fastest-growing AI products, announced today that it has successfully acquired Parsed, a reinforcement learning startup that specializes in post-training and continual…
Large language models (LLMs) are increasingly used for mental health interactions, often mimicking therapeutic behaviour without regulatory oversight. Documented harms, including suicides, highlight the urgent need for stronger safeguards. This manuscript argues that LLMs…
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Durga Chavali, MHA, Health Care IT Client Advisor Data, AI Strategist, Scholar & Advocate
Large Language Models (LLMs) are rapidly moving from the lab to the administrative suite, promising to revolutionize efficiency in healthcare by…
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The Medicines and Healthcare products Regulatory Agency (MHRA) has advised that AI chatbots should not replace advice from healthcare professionals after research found one in four UK patients are turning to AI and social…
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Artificial Intelligence has revolutionized healthcare by offering smart services and reducing diagnostic burden, particularly facilitating the identification and segmentation of malignant tissues. However, current task-specific approaches require disease-specific models, while universal foundation models demand…
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Risks and Challenges of Using AI in Pediatrics
Large language models are prone to “sycophancy,” or the desire to satisfy the user prompting it, as well as hallucinations, which involve fabricated findings, Desai explains.
He notes…
Electronic Health Records (EHRs) contain vast clinical data that are difficult for providers to synthesize. Generative AI with Large Language Models (LLMs) can summarize records to reduce cognitive burden, but ensuring accuracy requires reliable…
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The use of large language models (LLMs) in clinical diagnostics and intervention planning is expanding, yet their utility for personalized recommendations for longevity interventions remains opaque. We extended the BioChatter framework to benchmark LLMs’…
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Generative artificial intelligence, particularly large language models, offers an opportunity to rethink how patient-reported outcomes (PROs) are assessed and implemented in health systems. Despite decades of psychometric and digital innovation, PROs remain conceptually limited…
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Large language models (LLMs) exhibit a vulnerability arising from being trained to be helpful: a tendency to comply with illogical requests that would generate false information, even when they have the knowledge to identify…
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