electronic health records
PulseAugur coverage of electronic health records — every cluster mentioning electronic health records across labs, papers, and developer communities, ranked by signal.
- 2026-05-27 regulatory The EPA proposed new rules to expedite data center construction by modifying air permitting processes. source
- 2026-05-22 regulatory The EPA has promised an investigation into allegations that a Meta data center construction project has contaminated the drinking water supply in Morgan County, Georgia. source
- 2026-05-22 regulatory The EPA has promised to investigate allegations of water pollution linked to a Meta data center construction project in Morgan County, Georgia. source
19 day(s) with sentiment data
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Chemours to pay $450M over 'forever chemicals' discharge
Chemical manufacturer Chemours has agreed to pay $450 million in penalties and relief programs to settle a case involving the illegal discharge of "forever chemicals" (PFAS). The settlement, reached with the Trump admin…
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New Hybrid Mamba-Transformer Model Enhances EHR Representation
Researchers have developed HyMaTE, a novel hybrid model that combines Mamba (a State Space Model) and Transformer architectures to improve the representation of electronic health records (EHRs). This approach aims to ov…
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LLM-MINE framework extracts Alzheimer's phenotypes from clinical notes
Researchers have developed LLM-MINE, a framework utilizing large language models to extract phenotypes related to Alzheimer's Disease and Related Dementias (ADRD) from clinical notes. This method aims to improve early d…
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New PORTER model enables portable, language-grounded EHR analysis
Researchers have developed PORTER, a novel language-grounded foundation model for electronic health records (EHRs) that moves beyond fixed vocabularies. Unlike traditional models that struggle with unseen concepts or nu…
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AssemblyAI highlights top Dragon Medical alternatives for clinical documentation
AssemblyAI has published a guide comparing the top six alternatives to Nuance's Dragon Medical software for clinical documentation. The article highlights that many healthcare providers are switching from Dragon Medical…
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AssemblyAI tutorial shows how to build AI scribe for telehealth
AssemblyAI has released a tutorial demonstrating how to build an ambient AI scribe for telehealth video calls using Python. This scribe can transcribe conversations, differentiate between speakers, and generate structur…
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Multimodal LLMs show promise for pulmonary embolism risk assessment
Researchers have developed a benchmark for evaluating multimodal large language models (MLLMs) in clinical question answering, specifically for pulmonary embolism (PE) risk assessment. The study utilized the INSPECT dat…
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New dataset Insulin4RL enables offline reinforcement learning with irregular clinical data
Researchers have introduced Insulin4RL, a new dataset designed for offline reinforcement learning in healthcare settings. This dataset, derived from MIMIC-IV, contains over 375,000 decisions from 12,209 intensive care u…
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MedRLM framework enhances clinical AI with recursive multimodal intelligence · 2 sources tracked
Researchers have introduced MedRLM, a novel Recursive Multimodal Health Intelligence framework designed to enhance clinical decision support. Unlike existing models that rely on single-step retrieval, MedRLM treats pati…
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New Clin-JEPA framework enables joint-embedding predictive pretraining on EHR data
Researchers have developed Clin-JEPA, a novel multi-phase co-training framework designed for joint-embedding predictive pretraining on electronic health records (EHR). This framework addresses the challenge of creating …
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EPA pilots AI across operations, retaining human experts for critical tasks
The U.S. Environmental Protection Agency (EPA) is implementing AI across its operations, aiming to leverage the technology for a wide range of tasks. However, the agency acknowledges that human expertise remains crucial…
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AI model optimizes Type 2 Diabetes follow-up intervals, reducing costs
Researchers have developed a Contextual Markov Decision Process (CMDP) model to optimize follow-up intervals for Type 2 Diabetes (T2D) patients, moving beyond the American Diabetes Association's fixed guidelines. By ana…
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New benchmark reveals LLMs struggle with interactive physician assistance
Researchers have developed PhysAssistBench, a new benchmark designed to evaluate the capabilities of Large Language Models (LLMs) in assisting physicians. This benchmark focuses on interactive scenarios involving doctor…
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AI Rewriting of Radiology Reports Creates "Slop Paradox"
A new study published on arXiv examines the impact of AI-driven standardization on radiology reports, revealing a phenomenon termed the "slop paradox." Researchers found that while AI rewriting tasks designed for clinic…
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New CAP method enhances PPG representation learning with clinical data
Researchers have developed a new method called Clinical Anchored Pretraining for PPG (CAP) to improve the learning of universal representations for photoplethysmography (PPG) signals. Existing methods often overlook pat…
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New EHR models leverage ICD code hierarchy for improved predictions
Researchers have developed new methods for electronic health record (EHR) foundation models to better utilize the hierarchical structure of ICD diagnosis codes. Current models treat these codes as flat tokens, ignoring …
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New Framework Aligns CT and EHR Data for Improved Time-to-Event Prediction
Researchers have developed a new framework for cross-modal representation alignment to improve time-to-event (TTE) prediction using both CT imaging and longitudinal electronic health records (EHR). This foundation model…
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New Framework Evaluates LLMs in Clinical Consultations Using EHR Data
Researchers have developed AIPatient Arena, a new framework for evaluating large language models (LLMs) in clinical consultation settings. This framework uses electronic health records (EHRs) to simulate realistic, mult…
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Amazon claims minimal data center water use, targets "water positive" by 2030
Amazon has stated that its data centers use a minimal amount of water, consuming only 0.075% of what Americans use for lawn and garden watering. The company highlighted its water efficiency improvements, aiming to be "w…
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US infrastructure faces visibility gap amid AI data center water demand
The US faces significant infrastructure challenges despite a $1.2 trillion investment, largely due to a lack of real-time visibility and predictive capabilities. The increasing demand for water by data centers, particul…