This study implemented an inertial measurement unit sensor-based deep learning model to predict lower-limb joint kinematics during various gait activities, such as walking, jogging, and running.

Health care leaders must navigate complex decisions regarding AI deployment, considering factors such as cost of implementation, benefits to patients and providers, and institutional readiness for adoption.

Health care organizations are building, deploying, and self-governing digital health technologies, including artificial intelligence, at an increasing rate. How do they ensure the technology impacting patient care is safe, effective, and ethical?

As the role of artificial intelligence expands in health care, pragmatic trials will remain pivotal in producing the evidence needed to guide decision-making for patients, clinicians, and health systems.

Several clinical decision support algorithms for assisted reproductive technologies have been proposed with the promise to improve in vitro fertilization treatment outcomes.

The GI Genius Intelligent Endoscopy Module Computer-Assisted Diagnosis algorithm for colonic adenoma detection and real-time polyp characterization can be a useful adjunctive diagnostic tool but will not replace expert endoscopists.

Author highlights video: Using the treatment burden taxonomy, researchers analyzed interviews of patients living with diabetes to gain a deeper understanding of how digital medicine tools impact their daily lives.

Digital Health Watch summarizes the most impactful and recent scientific evidence in digital health. This carefully curated list of publications from around the world aims to keep readers up to date in this rapidly evolving field. @Doctora_BetsyMI

This study addresses the crucial issue of identifying potentially hazardous drug combinations from drug packaging images by developing the MEDIC system, which combines optical character recognition and ChatGPT.

Head-mounted display virtual reality videos can be effective and safe in temporarily alleviating patient symptoms near the end of life, especially drowsiness, tiredness, depression, anxiety, absence of well-being, and dyspnea.

The implementation of tiered cardiac telemetry in hospital environments, coupled with advancements in remote cardiac monitoring, supports expanded bedside telemetry capabilities and near real-time remote monitoring post-discharge.

Quality of life may be improved for adult patients with chronic kidney disease by receiving treatment using telehealth communication methods.

Development of a human factors-informed guideline to provide consolidated, accessible, and current best practice guidance on the appropriateness of clinical decision support options.

RT @Doctora_BetsyMI: 🚨This month, Digital Health Watch is live at @mcpdigital ! 🚨 Dive into the summaries of the latest, impactful, and i…

A balancing act: Developing frameworks that support ethical artificial intelligence implementation while safeguarding the well-being of both healthcare providers and patients.

Quality of life may be improved for adult patients with chronic kidney disease by receiving treatment using telehealth communication methods.

A balancing act: Developing frameworks that support ethical artificial intelligence implementation while safeguarding the well-being of both healthcare providers and patients.

Within the e-prescribing system, could large language models be used to generate clearer and more personalized medication instructions?

In the News: 📰

Telemedicine-enabled ambulances in emergency medical services systems are novel, feasible, and potentially scalable options for evaluating patients with suspected acute stroke in the prehospital setting.