Skip to content

Medicine has been the way of connecting both of Brian Smith's passions. “With medicine I could have the intellectual curiosity, but also the chance to talk with people and enjoy the human experience.”

Medicine has been the way of connecting both of Brian Smith's passions. “With medicine I could have the intellectual curiosity, but also the chance to talk with people and enjoy the human experience.”

Many social determinants of health can influence a patient’s risk, but Palaniappan and fellow researchers have noticed, from working with data from patients around the nation, that race is not among the most accurate or equitable.

Many social determinants of health can influence a patient’s risk, but Palaniappan and fellow researchers have noticed, from working with data from patients around the nation, that race is not among the most accurate or equitable.

As the health care industry grapples with the best way to use artificial intelligence technologies to improve care, many clinicians may wonder what happens if patients are harmed, and who should be held liable.

As the health care industry grapples with the best way to use artificial intelligence technologies to improve care, many clinicians may wonder what happens if patients are harmed, and who should be held liable.

Published on

'People in the medical humanities space already understand how art can be helpful in patient recovery, but a lot of medicine is really data- and finance-driven,' said Brian R. Smith.

'People in the medical humanities space already understand how art can be helpful in patient recovery, but a lot of medicine is really data- and finance-driven,' said Brian R. Smith.

Published on

New artificial intelligence tools have the potential to revolutionize health care. But Stanford researchers argue that disparities could worsen without intervention now.

New artificial intelligence tools have the potential to revolutionize health care. But Stanford researchers argue that disparities could worsen without intervention now.

Published on

Health care providers must reckon with inherent race-based biases in medicine, which can reinforce false stereotypes in algorithms and lead to improper treatment recommendations or late diagnoses.

Health care providers must reckon with inherent race-based biases in medicine, which can reinforce false stereotypes in algorithms and lead to improper treatment recommendations or late diagnoses.

Published on

Stanford Medicine researchers create a new AI-powered algorithm that analyzes pathology images based on data from Twitter, now known as X.

Stanford Medicine researchers create a new AI-powered algorithm that analyzes pathology images based on data from Twitter, now known as X.

Published on

Stanford Medicine researchers and leaders discuss the need for medical and health professionals to shape the creation of large language models.

Stanford Medicine researchers and leaders discuss the need for medical and health professionals to shape the creation of large language models.

Stanford Medicine researcher Jonathan Chen discusses the promise and danger of using AI, such as ChatGPT, in medicine.

Stanford Medicine researcher Jonathan Chen discusses the promise and danger of using AI, such as ChatGPT, in medicine.

Published on

Stanford Medicine researchers are using AI to mine discussion on Reddit to better understand sentiments about statins.

Stanford Medicine researchers are using AI to mine discussion on Reddit to better understand sentiments about statins.

Published on

Researchers at Stanford Medicine are putting together a guide for principled implementation of artificial intelligence in health care.

Researchers at Stanford Medicine are putting together a guide for principled implementation of artificial intelligence in health care.

Researchers conducted a study to look back at 50 years of innovation, tracking how trends in technology have changed.

Researchers conducted a study to look back at 50 years of innovation, tracking how trends in technology have changed.

Published on

Researchers are addressing bias in algorithms that detect dermatology diseases by adding more diverse skin tone images to data sets.

Researchers are addressing bias in algorithms that detect dermatology diseases by adding more diverse skin tone images to data sets.

Published on