patient
PulseAugur coverage of patient — every cluster mentioning patient across labs, papers, and developer communities, ranked by signal.
8 day(s) with sentiment data
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AI model HIPNO infers patient hemodynamics from non-invasive signals
Researchers have developed HIPNO (Hemodynamic Inference via Physics-informed Neural Operators), a novel AI model designed to non-invasively infer hemodynamic states from ubiquitous signals. HIPNO addresses a scale symme…
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New multi-agent system tailors AI explanations for diverse audiences
Researchers have developed XstrAI, a novel multi-agent framework designed to generate audience-aware narratives for explaining AI model predictions, particularly in the medical field. This system treats feature-attribut…
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AI patient simulator separates clinical truth from language generation
A backend engineer and a doctor developed an AI patient simulator that separates clinical truth from language generation. The system maintains a fixed clinical state for each patient, with a knowledge graph providing me…
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Text-to-SQL benchmark errors highlight flawed gold standard
A new analysis of the BIRD-dev text-to-SQL benchmark reveals significant issues with its gold standard SQL annotations, with nearly 20% of model errors stemming from the benchmark incorrectly flagging correct model outp…
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LLMs show a "judgment-consequence gap" in healthcare resource allocation
A new research paper published on arXiv explores the moral reasoning of large language models (LLMs) in healthcare decision-making, specifically concerning the allocation of scarce resources. The study found a significa…
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New protocol aids stroke survivors in defining AI explainability needs
Researchers have developed a video-based protocol to elicit explainable AI (XAI) requirements from stroke survivors, addressing the challenge of communicating complex AI concepts to individuals with communication impair…
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AI tool offers clinicians a 'second pair of eyes' to improve patient care
An artificial intelligence tool designed to assist clinicians by providing a 'second pair of eyes' is being evaluated for its impact on patient care. The effectiveness and benefits of this AI technology in clinical sett…
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AI scribe records and analyzes doctor-patient conversations for note generation
An AI "scribe" listens to conversations between doctors and patients, records them, and then analyzes the dialogue to generate medical notes. This process requires explicit permission from both parties due to the sensit…
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Developer leverages LLM and pre-built schema to generate FHIR data
A developer struggled to manually create a FHIR R4 compliant Patient resource schema in TypeScript for a hospital client, finding the official specification complex and time-consuming to implement correctly. After two d…
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Medical AI training data privacy audit reveals patient identification risks
A new study has performed the first patient-level privacy audit on data used to train medical AI models. The research aimed to determine how easily individual patients could be identified from this underlying data. This…
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AI chatbots increasingly used for health advice, raising concerns
AI chatbots are increasingly being consulted for medical and mental health advice, raising concerns about their reliability and potential to deter patients from seeking professional screening appointments. While the use…
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Medical LMs risk patient privacy, new evaluation framework shows
A new research paper introduces a privacy evaluation framework for medical language models, focusing on realistic threat models beyond simple text recovery. The framework assesses verbatim memorization and semantic leak…
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Chatbots to handle patient intake in doctor's offices
Chatbots could streamline patient intake processes in healthcare settings, reducing administrative burdens on medical staff. This approach aims to improve efficiency by automating tasks such as collecting patient histor…
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Private equity cuts vital eye surgeries for profit
Private equity firms are increasingly prioritizing profits over patient care in ophthalmology practices they acquire. These firms are directing clinicians to reduce or eliminate unprofitable but emergent procedures, suc…
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AI system CandorMD trains clinicians in disclosing medical errors
Researchers have developed CandorMD, an AI-powered system designed to help clinicians practice and improve their skills in disclosing medical errors to patients. The system offers real-time practice and tailored feedbac…
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Doctors caution patients against relying solely on AI for medical results
Doctors are increasingly concerned about patients using AI to interpret their medical results, highlighting potential risks and limitations. While AI can offer quick explanations, it lacks the nuanced understanding and …
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AI allegedly pressures patients into unnecessary dental work
A 2026 investigation has uncovered allegations that some dentists are using artificial intelligence to pressure patients into receiving unnecessary dental procedures. This practice is reportedly linked to a significant …
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Most US doctors secretly use AI tools, patients unaware
A significant portion of U.S. physicians are utilizing AI tools in their practice without their patients' knowledge. This widespread, often undisclosed, use of AI in healthcare raises concerns regarding transparency, pa…
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AI agent aids patients in finding clinical trials
An AI agent was developed to help patients navigate the complexities of clinical trials, addressing the issue that many individuals are unaware of or unable to access relevant research opportunities. The agent leverages…
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Patients can decline AI use in doctor's offices
Patients can now opt out of AI-driven healthcare services, including diagnostic tools and administrative systems, under new guidelines. This allows individuals to request human-only interactions for their medical care. …