EPtalk by Dr. Jayne 1/15/26
Plenty of people have been asking me for my thoughts about last week’s announcement of OpenAI for Healthcare.
Models that are tuned to physician needs and that have been through robust clinical testing certainly…
Tag: Tuned
A novel AI-powered radiographic analysis surpasses specialists in stage II–IV periodontitis detection: a multicenter diagnostic study
Missed periodontitis diagnoses are common, and AI dental radiography systems based on clinical standards can enhance reliable detection. We introduce and evaluate HC-Net+, a deep-learning model that mimics clinical pathways while integrating localized tooth…
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Using a fine-tuned large language model for symptom-based depression evaluation
Recent advances in artificial intelligence, particularly large language models (LLMs), show promise for mental health applications, including the automated detection of depressive symptoms from natural language. We fine-tuned a German BERT-based LLM to predict…
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TIMER: temporal instruction modeling and evaluation for longitudinal clinical records
Electronic health records (EHRs) contain rich longitudinal information for clinical decision-making, yet LLMs struggle to reason across patient timelines. We introduce TIMER (Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records), a method to…
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AI-Powered Honeypots Give Healthcare Organizations a Leg Up on Attackers
“Using data sets of attacker-generated commands and responses, these models are trained to mimic server behaviors convincingly. Techniques such as supervised fine-tuning, prompt engineering and low-rank adaptations help tailor these models for specific tasks,”…
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Powerful CEO Listening: Transform Employee Engagement
Introduction: The Listening Crisis in Leadership
Now more than ever, it’s time for CEOs to listen. Employee engagement nationally is at an 11-year low, with 79% of employees disengaged. In this climate, cultivating the art…
GRACE-ICU: A multimodal nomogram-based approach for illness severity assessment of older adults in the ICU
Clinical notes are crucial for patient assessment in the ICU but can be challenging to accurately and objectively analyze in time-constrained situations. We developed the GRACE-ICU model which integrates clinical notes and structured data…
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Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records
Secondary use of electronic health record notes enhances clinical outcomes and personalized medicine, but risks sensitive health information (SHI) exposure. Inconsistent time formats hinder interpretation, necessitating deidentification and temporal normalization. The SREDH/AI CUP 2023…
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FDA Warning to WHOOP; ChristianaCare & NeuroFlow; Ambience Health +243M; Barbie with Type 1 Diabetes
Welcome to the July edition of Digital Health Digest!This month, we bring you the latest in healthcare innovation—from regulatory updates and groundbreaking partnerships to major funding milestones and inclusive health products. Stay tuned as…
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An end-to-end multifunctional AI platform for intraoperative diagnosis
Intraoperative frozen section diagnosis provides essential, real-time histological insights to guide surgical decisions. However, the quality of these time-sensitive sections is often suboptimal, posing significant diagnostic challenges for pathologists. To address these limitations, we…
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