October 10, 2025

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11/11/2025

research article

Feasibility and efficacy of a real-time smoking intervention using wearable technology

Wearable technology can use gesture detection to identify smoking behavior and provide real-time feedback. Receiving notifications when smoking occurs may help increase awareness of smoking behavior to help promote change. This study sought to examine the feasibility and preliminary efficacy of using a smartband for real-time smoking feedback as an adjunct to standard tobacco treatment in an outpatient hospital setting

Image credit: Andres Siimon

Feasibility and efficacy of a real-time smoking intervention using wearable technology

Recently Published Articles

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Current Issue September 2025

11/06/2025

OPinion

Integrating rare diseases into Africa’s digital health strategies

Driven by the urgent need to address a high burden of disease with limited resources, many African nations are increasingly turning to digital solutions to bridge gaps in access, improve diagnostic accuracy, and enhance the efficiency of healthcare systems.

Image credit: Daniele Levis Pelusi

Integrating rare diseases into Africa’s digital health strategies

11/06/2025

research Article

Creating a general-purpose generative model for healthcare data based on multiple clinical studies

Data for healthcare applications are typically customized for specific purposes but are often difficult to access due to high costs and privacy concerns. Rather than prepare separate datasets for individual applications, the authors propose a novel approach: building a general-purpose generative model applicable to virtually any type of healthcare application.

Image credit: Alina Grubnyak

Creating a general-purpose generative model for healthcare data based on multiple clinical studies

10/23/2025

research article

Eliminating the AI digital divide by building local capacity

Health delivery organizations have been adopting and integrating AI tools, including clinical tools for tasks like predicting risk of inpatient mortality and operational tools for clinical documentation, to fulfill the quintuple aim. The expertise and resources to do so is often concentrated in academic medical centers, leaving patients and providers in lower-resource settings unable to fully realize the benefits of AI tools.

Image credit: Joshua Chehov

09/02/2025

research Article

Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: A systematic review

Automated detection of papilloedema using artificial intelligence and retinal images acquired through an ophthalmoscope for triage of patients with potential intracranial pathology could prove to be beneficial, particularly in resource-limited settings where access to neuroimaging may be limited

Image credit: Rambabu et al

09/08/2025

research article

Evaluating the predictive accuracy of cognitive screeners BAMCOG and MoCA in identifying postoperative delirium risk in aortic valve replacement patients: A cohort study

Postoperative delirium & postoperative encephalopathy are common complications in older adults undergoing aortic valve replacement, yet the predictive accuracy of cognitive screening tools remains uncertain.

Image credit: Pavel Czerwisnki

09/08/2025

research article

Evaluating anti-LGBTQIA+ medical bias in large language models

Large Language Models (LLMs) are increasingly deployed in clinical settings for tasks ranging from patient communication to decision support.

Image credit: Max Plieske

09/04/2025

research article

Development and evaluation of a lightweight large language model chatbot for medication enquiry

The authors developed and tested Med-Pal, a medical domain-specific LLM-chatbot fine-tuned with a fine-grained, expert curated medication-enquiry dataset.

Image credit: Michael Jarmoluk

08/12/2025

research article

Nursing activities and associated workload of nurses in virtual care centres: A multicentre observational study

This study explored the roles and workload of nurses working in Virtual Care Centers (VCCs), which have become more common since the COVID-19 pandemic.

Image credit: Pawel Czerwinski

08/05/2025

research article

Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict individuals at risk of microvascular disease

Image credit: Baskar et al

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