Research
Parallel pressures: the common roots of doctor bullshit and large language model hallucinations
The phenomenon of doctors presenting unfounded statements with unwavering arrogance—colloquially known as “bullshit”—has long been recognised in medical practice. In […]
A typology of physician input approaches to using AI chatbots for clinical decision-making
This study explores how physicians approach using LLM chatbots during clinical reasoning tasks and whether the amount of clinical case […]
First, do NOHARM: towards clinically safe large language models
Large language models (LLMs) are routinely used by physicians and patients for medical advice, yet their clinical safety profiles remain […]
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
Large language models (LLMs) hold great promise for medical applications and are evolving rapidly, with new models being released at […]
Artificial intelligence for autoimmune diseases
Emerging evidence suggests generative artificial intelligence (AI) may offer potential for autoimmune and rheumatic disease care, moving beyond traditional narrow […]
From Dyad to Triad: Artificial Intelligence in the Patient–Physician Relationship
In “A Case of Bromism Influenced by Use of Artificial Intelligence,” Eichenberger and colleagues describe the case of a previously […]
How Physicians Can Prepare for Generative AI
Generative artificial intelligence (GenAI) large language models (LLMs) have rapidly integrated into everyday life, from internet search engines to chatbot […]
A global log for medical AI
As hospitals rush to pilot large language models and other AI-based clinical decision support tools, we still lack a standard […]
Advancing Medical Artificial Intelligence Using a Century of Cases
LLMs exceed physician performance on complex text-based differential diagnosis andconvincingly emulate expert medical presentations, but image interpretation and literatureretrieval remain […]
Optimizing large language models for detecting symptoms of depression/anxiety in chronic diseases patient communications
Patients with diabetes are at increased risk of comorbid depression or anxiety, complicating their management. This study evaluated the performance […]
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