Providing clinicians with artificial intelligence (AI) predictions along with model explanations can boost diagnostic accuracy, but that accuracy drops when using a biased AI model -- and explanations ...

Voice-activated, conversational artificial intelligence (AI) agents must provide clear explanations for their suggestions, or ...

A recent JAMA study investigates whether systematically biased artificial intelligence (AI) impacted clinicians’ diagnostic accuracy and whether image-based AI model explanations can reduce model ...

In recent years AI has emerged as a powerful tool for analyzing medical images. Thanks to advances in computing and large medical datasets from which AI can learn, it has proven to be a valuable aid ...

AI models in health care are a double-edged sword, with models improving diagnostic decisions for some demographics, but worsening decisions for others when the model has absorbed biased medical data.

Please provide your email address to receive an email when new articles are posted on . Generative AI may be able to provide acceptably correct explanation of patients’ echocardiography results.

A new study finds that clinicians were fooled by biased AI models, even with provided explanations for how the model generated its diagnosis. AI models in health care are a double-edged sword, with ...