Latest AI and machine learning research in surveys for healthcare professionals.
OBJECTIVES: Artificial intelligence (AI) tools have the potential to transform access to and delivery of palliative care globally-an urgent unmet need-in part by early identification of patients experiencing serious illness-related suffering. Although global consensus is emerging about the importance of ethical principles for AI, such as respecting autonomous choice, promoting patient well-being, ...
BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed cancer treatment, but response varies across patients. Gut microbiota may influence immunotherapy outcomes, while artificial intelligence (AI) can help characterize complex microbiome-host interactions. This systematic review and meta-analysis evaluated AI models for predicting immunotherapy outcomes using gut microbiota data. METHOD...
PURPOSE: Large language model-based artificial intelligence (AI) platforms have attracted substantial interest as potential clinical adjuncts within s...
OBJECTIVES: A substantial proportion of adults with locally advanced gastric cancer derive limited benefit from neoadjuvant chemotherapy (NAC), with a...
Accurate psychological evaluation is crucial for early detection, intervention and evaluation of mental health disorders. The validity and reliability...
Objective.Pulse-to-pulse intervals obtained from continuous non-invasive blood pressure (CNBP) signals can be used to derive pulse rate variability (P...
The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological techniques, although SWL remains widely available. ...
BACKGROUND: Integration of large language models (LLMs) into health care has accelerated rapidly, yet reliability concerns pose potential risks to pat...
AIM: To investigate whether artificial intelligence (AI) models trained on standard 12-lead electrocardiograms (ECG) can identify symptom-defined diab...
BACKGROUND: Digital health communication is gaining importance as health care systems face increasing demand and structural constraints. Generative ar...
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children and adolescents. Digital therapeuti...
PURPOSE: Simple generalized thresholds for assessing functional impairment in clinical testing are limited, as they fail to consider patient-specific ...
Traditional research ethics governance was designed for bounded protocols, identifiable investigators, and temporally limited encounters with human pa...
Prevailing ethical oversight of data science health research concentrates on privacy, consent, bias, and fairness. These concerns are necessary but in...
1D Nuclear Magnetic Resonance (NMR) spectra offer a rapid and accessible alternative to time-consuming 2D experiments, making them ideal for high-thro...
PURPOSE: To determine the criterion validity of research- and consumer-grade wearables (18 step-based methods) for quantifying step counts and step-de...
BACKGROUND: Thailand is undergoing a rapid demographic transition, with an estimated 28% of the population expected to be aged 60 years or older by 20...
BACKGROUND: Advanced HIV disease remains a major global health concern, with nearly 40.8 million people living with HIV as of 2024. Antiretroviral the...
BACKGROUND: AI is increasingly encountered in clinical care and medical education, but medical students' attitudes, perceptions, and self-reported fam...
BACKGROUND: Automated multimedia analysis of remotely recorded tasks offers a scalable approach to screening and remote monitoring of movement disorde...