Voice-based artificial intelligence models have generated significant interest for noninvasive screening of neurological conditions like Parkinson's disease and dementia. However, high classification performance in these models may be driven by age differences between study groups rather than true disease signatures.

Delays in accessing ambulatory care create significant operational strain for health systems and lead to adverse outcomes and diminished experiences for patients. While manual waitlists are resource-intensive and difficult to scale, automated waitlists leverage technology to monitor schedules continuously and send automated notifications to patients when earlier slots open up.

Peer review is the heartbeat of scholarly publishing. It requires countless unseen hours of critical reading, deep intellectual effort, and constructive feedback to ensure published research is rigorous, accurate, and trustworthy. Yet, despite being essential to scientific progress, the dedicated effort behind peer review often goes unacknowledged.

African American and Black women report the lowest physical activity levels across demographic groups in the United States, driving elevated rates of preventable cardiometabolic diseases. While researchers increasingly turn to mixed methods to examine how social, cultural, and environmental factors shape exercise behaviors, how effectively are these quantitative and qualitative insights being combined?

Heart rate variability (HRV), the fluctuation in time intervals between consecutive heartbeats, has emerged as a key noninvasive indicator of stress, recovery, and overall cardiovascular health. With smartphone cameras and wearable sensors expanding remote monitoring capabilities, consumer access to HRV tracking has skyrocketed.

In low-resource settings, access to timely emergency trauma care is often a matter of life and death. In Uganda, traffic law enforcement officers and medical trainees frequently serve as the initial first responders and frontline caregivers for road traffic injuries, particularly those involving motorcycles.

Japan is the world's most rapidly aging society, with nearly 30% of its population aged 65 or older. Yet despite a 90% smartphone penetration rate, only 21.6% of Japanese adults regularly use mobile health (mHealth) apps.

Artificial intelligence is rapidly shifting from experimental code to point-of-care medical decision-making. As machine learning models gain autonomy in diagnosing diseases and tailoring treatments, ensuring true patient autonomy through informed consent has become a vital ethical challenge.

Parkinson disease (PD) is predominantly recognized for its motor symptoms, yet covert cognitive decline affects many patients long before dementia occurs. Traditional in-person cognitive testing presents substantial barriers: severe mobility impairments make traveling to clinics difficult, expert evaluations suffer from long waitlists, and screening tools like the Montreal Cognitive Assessment (MoCA) rely heavily on fine motor tasks like drawing, which can confound cognitive scores.

Virtual care expanded rapidly during the COVID-19 pandemic, but understanding which cancer patients use virtual oncology services, and how it connects to unplanned emergency department (ED) visits, remains critical for equitable care.