AIMC Topic: Humans

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Improved American College of Surgeons NSQIP Hospital Benchmarking with Risk Adjustment for Many CPT Codes Rather Than Just the Principal Code.

Journal of the American College of Surgeons
BACKGROUND: Because of technical limitations inherent to logistic regression, NSQIP benchmarking has historically risk adjusted for procedure using only 1 principal CPT code among other predictors. This has the potential to create bias (favorable or ...

Label-Free SERS Platform Assisted by Machine Learning for Multi-Target Detection and Physiological State Classification in Sweat.

Analytical chemistry
The detection of sweat metabolites is crucial for health monitoring, disease screening, and personalized medicine. Traditional methods encounter challenges like low metabolite concentrations, complex biological matrices, and difficulty in achieving m...

Dual-Chronoamperometry Drift Correction for Electrochemical Sensors.

ACS sensors
Accurate sensing of biomolecular targets is crucial for diagnosing diseases and developing technologies for personalized medicine. However, measuring biomarker levels with high precision is often challenging due to signal drift caused by biofouling a...

Glabridin from L. Exhibits Anti-Triple-Negative Breast Cancer Effects by Regulating Various Cell Cycle Genes.

Journal of agricultural and food chemistry
Glabridin (GLA), a characteristic polyphenolic extracted from the renowned sweet plant L., demonstrates potent anticancer effects. This study aims to investigate the effects of GLA on triple-negative breast cancer (TNBC) and its underlying mechanisms...

Interpretable Machine Learning for Predicting Adverse Pregnancy Outcomes in Gestational Diabetes: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Gestational diabetes mellitus (GDM) affects over 5% of pregnancies worldwide, elevating risks of type 2 diabetes post partum and complications such as fetal death, miscarriage, and congenital abnormalities. Effective GDM management is ess...

Neural xenografts contribute to long-term recovery in stroke via molecular graft-host crosstalk.

Nature communications
Stroke remains a leading cause of disability due to the brain's limited ability to regenerate damaged neural circuits. Here, we show that local transplantation of iPSC-derived neural progenitor cells (NPCs) improves brain repair and long-term functio...

Use of a Large Language Model as a Dermatology Case Narrator: Exploring the Dynamics of a Chatbot as an Educational Tool in Dermatology.

JMIR dermatology
A comparison of dermatological cases generated by artificial intelligence (AI) versus those created without AI by medical students revealed that AI-created cases were characterized by detailed case descriptions, analysis of medical history, and clini...

Practitioner Perspectives on the Uses of Generative AI Chatbots in Mental Health Care: Mixed Methods Study.

JMIR human factors
BACKGROUND: Generative artificial intelligence (AI) chatbots have the potential to improve mental health care for practitioners and clients. Evidence demonstrates that AI chatbots can assist with tasks such as documentation, research, counseling, and...

Patient Perceptions of Artificial Intelligence and Telemedicine in Dermatology: Narrative Review.

JMIR dermatology
BACKGROUND: Artificial intelligence (AI) and telemedicine have significant potential to transform dermatology care delivery, but patient perspectives on these technologies have not been systematically compared.

New Doc on the Block: Scoping Review of AI Systems Delivering Motivational Interviewing for Health Behavior Change.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is increasingly used in digital health, particularly through large language models (LLMs), to support patient engagement and behavior change. One novel application is the delivery of motivational interviewing ...