Information Technology

A Scoping Review of Digital Behavioral Approaches to Improve Medication Adherence in Type 2 Diabetes.

PURPOSE OF REVIEW: Consistent medication adherence is fundamental for achieving favorable health outcomes in diabetes care; however, attaining optimal adherence remains a challenge. This review summarized recent evidence on digital behavioral interventions designed to improve medication adherence in type 2 diabetes (T2D) and identified key components commonly incorporated in these interventions. R...

From Clinic to Home: Validating the Social Communication Scale for Telemedicine-Supported Early Autism Screening in Chinese Toddlers.

Telemedicine is reshaping how early autism detection can be delivered, particularly in resource-limited settings. Yet, most existing tele-assessment tools were developed in Western contexts, limiting their cultural applicability. To address this gap, we evaluated the Social Communication Scale (SCS), a brief video-based tool, for telemedicine-supported screening in Chinese toddlers. A total of 170...

Beyond Accuracy: Why Replacing Traditional Scores with AI in Thrombosis Care Creates New Ethical and Regulatory Obligations.

Clinical prediction scores have been central to thrombosis and hemostasis practice for decades, providing transparent, interpretable, and validated ap...

Toward harmonized reporting of Alzheimer's disease biomarkers in clinical practice.

Cerebrospinal fluid biomarkers, and more recently blood-based biomarkers, are playing a pivotal role in reshaping the clinical management of neurodege...

Guidance for laboratory implementation, governance and continuous assurance of artificial intelligence in histopathology.

Artificial intelligence (AI) is rapidly transforming histopathology, with applications ranging from workflow optimisation and quality assurance to tum...

AI for Opportunistic Identification of BMD and Bone Microarchitecture: A Narrative Review.

Artificial intelligence (AI) has rapidly transformed the potential for opportunistic assessment of bone mineral density (BMD) and bone microarchitectu...

Overcoming barriers to neurosurgical care with technology and innovation.

Technological advancements show great potential in transforming and advancing global surgery. Compared to general medicine, technology in neurosurgery...

Assessing digital health curriculum needs: a mixed-methods study of student and faculty perspectives in a Singapore medical school.

BACKGROUND: The rapid advancement of digital technologies has transformed healthcare delivery, creating an imperative for medical education to integra...

Ethical Considerations on Artificial Intelligence, Health and Health Care. All That Glisters Is Not Gold.

BACKGROUND: Artificial intelligence (AI) is transforming global health care through innovations in deep learning, generative models and agentic AI sys...

[Artificial intelligence and healthcare: why is it difficult to move from the research phase to clinical practice?].

Artificial intelligence (AI) is widely regarded as one of the most promising innovations in healthcare, yet its adoption in routine clinical practice ...

Embodied artificial intelligence in robotic orthopaedic surgery: from intelligent assistance to adaptive surgical autonomy.

Despite remarkable advances in robotic orthopaedic surgery over the past three decades, current commercial platforms remain precision-assistance techn...

Wearable technologies in ophthalmic care and visual science.

CLINICAL RELEVANCE: Wearable technologies may enable eyecare practitioners to assess visual function, behaviour, environmental exposure, and treatment...

The Role of Machine Learning and Artificial Intelligence in Enhancing Critical Care Nursing Practice: A Scoping Review.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are emerging as transformative tools in healthcare, with significant potential to e...

An informatics framework to harmonize electronic health record medication data for managed care analytics and artificial intelligence applications.

BACKGROUND: Artificial intelligence (AI) applications in managed care pharmacy depend on semantically consistent medication data, yet heterogeneous me...

A pharmacist-overseen, artificial intelligence-enabled model for provider-side prior authorization: From burden to opportunity (PAVE-1).

Prior authorization (PA) imposes substantial administrative burdens on clinicians, contributing to burnout, delayed care, and excess health care spend...

The Digital Transformation of Rehabilitation Medicine: A Narrative Review of Artificial Intelligence Innovations, Clinical Integration, and Future Paradigms.

BACKGROUND: Traditional rehabilitation medicine, primarily dependent on qualitative clinical assessment and static therapeutic protocols, faces signif...

Feasibility Assessment of Extracting Social Determinants of Health From Electronic Medical Records: A Multicenter Study Across Chinese Healthcare Institutions.

BACKGROUND: Social determinants of health (SDoH) are pivotal in influencing health outcomes and disparities across various populations. Real-world dat...

Artificial intelligence in Latin American hepatology: current evidence, implementation barriers, and strategic priorities.

Chronic liver diseases are an increasing cause of morbidity and mortality in Latin America, driven by the convergence of alcohol and metabolic-associa...

Navigating regulatory fragmentation in the convergence of synthetic biology, artificial intelligence, and automation.

The convergence of synthetic biology, artificial intelligence (AI), and automation (SynBioxAI) creates research activities that simultaneously engage ...

Global research landscape, knowledge structure, and emerging frontiers of urological robotic telesurgery: a bibliometric and knowledge-mapping analysis.

Robotic telesurgery is emerging as an important extension of robot-assisted surgery by enabling surgeons to perform procedures across geographical dis...