50 stories
Type 1 diabetes (T1D) is a chronic autoimmune disorder characterized by immune-mediated destruction of pancreatic β-cells, resulting in absolute insulin deficiency and lifelong dependence on exogenous insulin therapy.
CONCLUSION: RAT may improve upper limb motor function and ADL after stroke, but has not shown a significant advantage for balance. Current evidence does not demonstrate a clear linear or nonlinear relationship between training dose and rehabilitation outcomes.
Triage of rheumatology outpatient referrals is a high-volume administrative task that consumes senior specialist time without advancing patient care. The human triage system is only moderately accurate and reproducible.
CONCLUSIONS: SEFCA-Net shows that semantic features can remain the main decoding stream while boundary-sensitive features and texture-sensitive responses are integrated in a controlled manner.
Internal medicine has traditionally focused on population-based approaches, utilizing diagnostic algorithms and treatment thresholds designed for the "average" patient. While beneficial, this one-size-fits-all model often leads to treatment failures.
Recovery following anterior cruciate ligament reconstruction (ACLR) is multifaceted, encompassing strength, functional, and patient-reported outcome measures (PROMs).
CONCLUSIONS: The new framework offers a practical, programme-wide model for integrating AI capability into postgraduate PHHP education. Embedding AI within existing professional competency frameworks supports coherent curriculum design while preserving the human-centred values underpinning…
Hearing loss is a prevalent condition affecting over 500 million people globally, with projections estimating more than 700 million cases by 2050. Artificial Intelligence (AI) holds transformative potential in audiology, enhancing diagnostic, therapeutic, and rehabilitation outcomes.
CONCLUSIONS: Cycle-consistency training improves the end-to-end deliverability of DL-generated IMRT plans for heterogeneous lymphoma, yielding substantially better TPS-recalculated, machine-deliverable plans than conventional dose-only supervision while maintaining sub-second fluence-map…
CONCLUSION: AI-based reconstruction may enable faster MPRAGE acquisition (up to 5-fold acceleration) while preserving image quality and the reproducibility of VBM-based atrophy analysis.
Patients with rheumatic diseases have persistent information needs that are not fully addressed in routine care. We developed and evaluated guideline-grounded, large language model (LLM) chatbots to support patient self-management and education in rheumatology.Ten disease-specific chatbots based on…
Gene Ontology (GO) enrichment analysis has been widely adopted for interpretating omics data, including in ecological research. Although valuable for summarizing large gene lists into functional categories, it is often treated as the final interpretive step.
CONCLUSION: AI applications must be evaluated using evidence matched directly to their specific clinical or biological claims: external validation for transportability, calibration/decision analysis for utility, prospective workflow studies for operational value, randomized trials for patient…
Adaptive neuromodulation offers a path toward personalized neuropsychiatric treatment by allowing therapy to respond to clinically meaningful neurophysiological and behavioral changes.
Rehabilitation exoskeletons require supervisory control that can preserve globally safe operating modes while executing local therapeutic behaviors reactively.
Interaction with physical objects plays a key role in the development, assessment, and treatment of cognitive and motor skills across the lifespan. In recent years, this interaction has been enhanced by smart objects, namely everyday items augmented with embedded sensing, processing, and feedback…
Objective: To explore the application effect of large language models (LLMs) as decision-support tools in emergency burn treatment. Methods: This study was a cross-sectional study.
INTRODUCTION: Stroke remains a leading cause of long-term disability worldwide, with persistent upper limb (UL) impairment affecting approximately half of survivors.
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