The rapid rise of generative artificial intelligence (GenAI) has created powerful new instructional opportunities alongside major pedagogical questions. While tools like ChatGPT can enhance lesson planning, case scenario design, and assessment development, many medical educators face a steep learning curve. Without structured guidance, integrating these fast-evolving and context-sensitive tools into high-stakes, discipline-specific medical curricula carries significant risks.

Artificial intelligence is fast becoming the digital front door of modern medicine. In the face of overwhelming patient demand, healthcare systems are rapidly deploying AI-enabled triage tools to sort symptoms, assess risk, and route patients before they ever step into a clinic.

Exposure to natural environments is well documented to improve attention, reduce stress, and enhance psychological well-being. While virtual reality (VR) offers a portable, scalable way to simulate natural settings for urban or isolated populations, it remains unclear whether a virtual forest engages the brain and cognitive networks in the same way as the real world.

Open-access publishing is built on a promise: research funded by the public should be freely available to the public. A sweeping new proposal from the White House Office of Management and Budget (OMB) threatens to break that promise by fundamentally rewriting how federal grants are awarded, managed, and published.

Formative evaluation is a vital pillar of implementation science, used to identify early barriers to adoption before deploying new health technologies. Traditionally, this process relies on gathering stakeholders’ expectations through preuse questionnaires. While this works well for standard screen-based apps, it hits a bottleneck when applied to immersive systems like Extended Reality (XR).

Adolescence is a critical window for building lifelong health habits, yet young people face an evidence gap when it comes to high quality, scientifically backed digital wellness tools. A staggering 98% of available stress management apps lack peer reviewed research supporting their design.

Telemedicine is a cornerstone of modern digital health strategies, promising to bridge geographic gaps and bring clinical care directly to patients. However, as virtual consultations become routine, a critical question emerges: are patients around the world sufficiently protected by legal and ethical infrastructure?

As wearable technology becomes a staple in both fitness and clinical monitoring, the demand for high-accuracy heart rate (HR) tracking continues to grow. While most smartwatches perform well at rest, the real challenge lies in maximal-intensity exercise, where heavy movement and physiological stress can interfere with optical sensors.

Real world data (RWD) is increasingly a key engine behind modern drug discovery and clinical decision making. However, anyone who has worked with electronic health records (EHRs) knows that this engine often relies on data that are fragmented and inconsistent. Laboratory results, which are the backbone of oncology care, are frequently plagued by inaccurate codes and missing units.

When we think of wearables in health care, we often think of step counts or heart rate alerts. But for women participating in home based cognitive rehabilitation (or telerehabilitation) a different type of data might hold the key to protecting brain health: nighttime sleep.