AI in Medicine

Sleep Stages Linked to Alzheimer’s

Summary New research suggests a link between reduced slow-wave and REM sleep and brain changes associated with Alzheimer’s disease. The study found that individuals with lower proportions of these sleep stages had smaller brain volumes […]

AI in Medicine

AI-Powered Efficiency at Wise Hospice

Summary Wise Hospice Options leverages AI to streamline e-prescribing, shrinking processing time from 20 seconds to 2. This drastically improves efficiency, reduces errors, and allows clinicians to focus on patient care. The AI seamlessly integrates […]

AI in Medicine

Alexa: A Voice Against Loneliness

Summary This article explores a pilot study’s findings on how AI-powered voice assistants, like Amazon’s Alexa, can significantly reduce loneliness in homebound older adults. The study highlights the potential of technology to combat social isolation […]

AI in Medicine

Outsmarting Illusions

Summary Medical imaging experts are exceptionally skilled at deciphering optical illusions, surpassing what was previously thought possible. This expertise may stem from their training in accurately interpreting medical images, enhancing their overall visual perception. The […]

AI in Medicine

Wearable Tech: Hemodynamics on the Go

Summary This article discusses a groundbreaking photoacoustic imaging watch that captures real-time hemodynamic data. This wearable device offers a non-invasive method to monitor crucial indicators like heart rate, blood pressure, and oxygen saturation. The watch […]

AI in Medicine

AI Healthcare: Attitudes Shift

Summary Public and physician attitudes toward AI in healthcare are improving, but significant concerns remain, particularly regarding data privacy, the potential for misdiagnosis, and the impersonal nature of AI-driven interactions. Surveys reveal a growing acceptance […]

AI in Medicine

Predictive SDOH: AI’s Potential

Summary This article explores how predictive analytics can revolutionize SDOH screening by leveraging existing EHR data and machine learning. It discusses a recent study where a predictive model outperformed traditional questionnaires in anticipating patient needs. […]

AI in Medicine

AI Mortality Predictions: A Critical Gap

Summary A recent study reveals that machine learning models for predicting mortality in hospital settings fail to identify two-thirds of severe injuries. This highlights a significant gap in current AI capabilities, raising concerns about patient […]

AI in Medicine

HIMSS25: AI’s Cost-Benefit Crossroads

Summary HIMSS25 grappled with the complex cost-benefit analysis of AI in healthcare. Experts discussed the need to look beyond initial costs and consider long-term value, staff capacity, and potential unintended consequences. The conference highlighted successful […]

AI in Medicine

GenAI Revolutionizes Healthcare

Summary 83% of US healthcare C-suite executives are piloting generative AI, but less than 10% are investing in the necessary infrastructure. Generative AI offers numerous benefits, including personalized medicine, streamlined drug discovery, and pandemic modeling. […]