AIMC Topic: Humans

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High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study.

JMIR research protocols
BACKGROUND: Drug-drug interactions (DDIs) are a major concern, especially for older adults taking multiple medications. Although Health Canada and the US Food and Drug Administration (FDA) use population-based studies to identify adverse drug events,...

ChatGPT-Based Chatbot for Help Quitting Smoking via Text Messaging: An Interventional Study.

JMIR formative research
BACKGROUND: Large language model chatbots such as ChatGPT may be able to provide support to people who smoke cigarettes and are trying to quit.

Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Machine learning (ML) has shown great potential in recognizing complex disease patterns and supporting clinical decision-making. Diabetic foot ulcers (DFUs) represent a significant multifactorial medical problem with high incidence and se...

Wearable Technologies in Head and Neck Oncology: Scoping Review.

JMIR mHealth and uHealth
BACKGROUND: Head and neck cancer (HNC) survivors face profound functional and quality-of-life deficits due to disease- and treatment-related sequelae, ranging from mild fatigue to debilitating dysphagia. Wearable technology, by monitoring biometric d...

Optimizing Loop Diuretic Treatment for Mortality Reduction in Patients With Acute Dyspnea Using a Practical Offline Reinforcement Learning Pipeline for Health Care: Retrospective Single-Center Simulation Study.

JMIR medical informatics
BACKGROUND: Offline reinforcement learning (RL) has been increasingly applied to clinical decision-making problems. However, due to the lack of a standardized pipeline, prior work often relied on strategies that may lead to overfitted policies and in...

Mentalizing Without a Mind: Psychotherapeutic Potential of Generative AI.

Journal of medical Internet research
This paper explores the integration of generative artificial intelligence (AI) into psychotherapeutic practice through the lens of mentalization theory, with a particular focus on epistemic trust-a critical relational mechanism that facilitates psych...

The Role of Pericardial Fat in Cardiometabolic Disease: Emerging Evidence and Therapeutic Potential.

Current cardiology reports
PURPOSE OF REVIEW: This review explores the unique anatomy and pathophysiology of pericardial fat (including both epicardial adipose tissue [EAT] and paracardial fat), its clinical significance, and its potential role as a therapeutic target. It addr...

Evaluation of an Autonomous Robotic System for Reducing Radiation Risk in a Real-World Cardiac Imaging Laboratory.

Journal of medical systems
BACKGROUND: Nuclear imaging is the cornerstone of clinical practice across many disciplines. Few innovations in imaging have addressed occupational health of radiographers exposed to radiation in their daily work. In this proof-of-concept study, we h...

Novel Insights into the Application of Large Language Models in the Diagnosis and Treatment of Complex Cardiovascular Diseases: A Comparative Study.

Journal of medical systems
The rapid evolution of large language models (LLMs) in the medical field, particularly in automating medical tasks and supporting diagnosis and treatment, has shown promising potential. However, their accuracy, comprehensiveness, and safety in managi...

Iloprost therapy achieves good clinical and radiological short and mid-term outcomes in patients with idiopathic aseptic osteonecrosis of the knee joint also in ARCO level II.

Archives of orthopaedic and trauma surgery
AIMS: The aim of this retrospective study was the evaluation of the patient-reported and radiological outcome of intravenous Iloprost therapy in the treatment of spontaneous osteonecrosis of the knee (SONK).