Large language models (LLMs) have great potential for high-stakes applications such as medical diagnostics but face challenges including hallucinations, biases, and lack of common sense. We address these limitations through a hybrid human–AI system that combines physicians’ expertise with LLMs to generate accurate differential medical diagnoses. Analyzing over 2,000 text-based medical case vignettes, hybrid collectives… Continue reading Human– #AI collectives most accurately #diagnose #clinical vignettes
Tag: practice
#Artificial #intelligence vs human #clinicians: a comparative analysis of complex medical query handling across the USA and Australia
PurposeThis study sought to explore the practical application and effectiveness of AI-generated responses in healthcare and compared these with human clinician responses to complex medical queries in the USA and Australia. The study identifies strengths and limitations of AI in clinical settings and offers insights into its potential to enhance healthcare delivery.Design/methodology/approachA comparative analysis used… Continue reading #Artificial #intelligence vs human #clinicians: a comparative analysis of complex medical query handling across the USA and Australia
Evaluation of an Ambient Artificial Intelligence Documentation Platform for #Clinicians
Importance The increase of electronic health record (EHR) work negatively impacts clinician well-being. One potential solution is incorporating an ambient artificial intelligence (AI) documentation platform.Objective To understand clinician experience before and after implementing ambient AI.Design, Setting, and Participants This quality improvement study was a pilot evaluation with before and after survey and EHR metrics conducted… Continue reading Evaluation of an Ambient Artificial Intelligence Documentation Platform for #Clinicians
Sociodemographic #biases in medical decision making by large language models
Large language models (LLMs) show promise in healthcare, but concerns remain that they may produce medically unjustified clinical care recommendations reflecting the influence of patients’ sociodemographic characteristics. We evaluated nine LLMs, analyzing over 1.7 million model-generated outputs from 1,000 emergency department cases (500 real and 500 synthetic). Each case was presented in 32 variations (31… Continue reading Sociodemographic #biases in medical decision making by large language models
‘Experimentum Crucis’: Hauksbee the Younger’s ‘decisive experiment’ for comparing the ‘Safety and Efficacy’ of new medicines (1743)
AbstractIn 1743 Francis Hauksbee the Younger published a proposal for an ‘Experimentum Crucis’ (‘decisive experiment’) to compare his own medication for venereal disease with other treatments. Previously he had sought to replicate the methods of James Jurin FRS, who published outcomes from inoculation against smallpox in the 1720s. By seeking to record outcomes (‘Safety and… Continue reading ‘Experimentum Crucis’: Hauksbee the Younger’s ‘decisive experiment’ for comparing the ‘Safety and Efficacy’ of new medicines (1743)
Effect of #chair placement on physicians’ #behavior and patients’ satisfaction: randomized deception trial
Objective To evaluate the effect of chair placement on length of time physicians sit during a bedside consultation and patients’ satisfaction.Design Single center, double blind, randomized controlled deception trial.Setting County hospital in Texas, USA.Participants 51 hospitalist physicians providing direct care services, and 125 observed encounters of patients who could answer four orientation questions correctly before study entry, April 2022… Continue reading Effect of #chair placement on physicians’ #behavior and patients’ satisfaction: randomized deception trial
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