Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 34,511 to 34,520 of 221,633 articles

Dynamic trajectories of organ dysfunction in sepsis using the SOFA-2 score and early prediction from multicenter cohorts.

Intensive & critical care nursing
OBJECTIVES: The Sequential Organ Failure Assessment-2 (SOFA-2) score reflects contemporary intensive care practices, yet its longitudinal application in sepsis remains unexplored. METHODS: We conducted a multicentre retrospective cohort study of 18,4... read more 

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy.

Computers in biology and medicine
The distribution of produced isotopes during proton therapy can be imaged with Positron Emission Tomography (PET) to verify dose delivery. However, biological washout, driven by tissue-dependent processes such as perfusion and cellular metabolism, re... read more 

LADNET: An MRI-based deep learning approach for Alzheimer's disease detection.

Computers in biology and medicine
Alzheimer's disease (AD) is considered a leading form of dementia, found in the majority of individuals, and it accounts for the highest prevalence of all the types of dementia. It is a gradually progressing condition which can begin with mild memory... read more 

Imaging and machine learning reveal pigment ring spatial characteristics in vitiligo progression.

Computers in biology and medicine
BACKGROUND: Vitiligo is a chronic autoimmune disorder causing skin depigmentation due to melanocyte loss, with pigment ring dynamics being key to understanding and managing the disease. METHODS: Data from 105 vitiligo patients were collected using re... read more 

Development of a deep learning tool to detect drug-resistance epilepsy with EEG.

Epilepsy & behavior : E&B
INTRODUCTION: Drug-resistant epilepsy affects about 30% of patients and is linked to poorer outcomes. Deep learning can extract complex patterns from EEG data and shows promise for identification of drug resistance (DRE). This study aimed to develop ... read more 

Art education in the age of AI: Exploring ethical practices and pedagogical approaches in Chinese.

Acta psychologica
This study investigates the integration of artificial intelligence (AI) in visual arts education among Chinese students, focusing on the influences of gender, education level, and university type on students' perceptions and engagement with AI tools.... read more 

From Chatbot to Care Team: A Pilot Study of Generative Artificial Intelligence to Support Nurse-Pharmacist Collaboration and Patient Care in Telemedicine.

Journal of doctoral nursing practice
Background: Collaboration between nurse practitioners (NPs) and pharmacists is essential for comprehensive patient care, especially in telehealth settings where communication is often asynchronous. Generative artificial intelligence (AI) offers a nov... read more 

Beyond Conventional Imaging: From Time-Based to Data-Driven Decision-Making in Acute Ischemic Stroke.

Journal of atherosclerosis and thrombosis
Reperfusion therapy has profoundly transformed acute ischemic stroke (AIS) care. Initially, treatment decisions relied primarily on time from symptom onset. However, growing evidence has shown that the extent of irreversibly injured tissue and the pr... read more 

Simultaneous analysis of miRNA and 16S rDNA by a multiplex droplet digital PCR system for body fluid source identification.

Forensic science international. Genetics
Forensic body fluid identification, crucial for crime scene reconstruction, is often limited by sample scarcity and degradation. Hence, there is growing interest in more stable biomarkers like miRNA and microbial markers. While each has its limitatio... read more 

Machine learning-based risk classification of depressive symptoms among patients with hearing loss: evidence from the Health and Retirement Study (HRS).

Comprehensive psychoneuroendocrinology
BACKGROUND: Depression is a common and debilitating condition among individuals with hearing loss, substantially impairing patients' quality of life. This study aimed to develop a model to classify depressive symptoms among individuals with hearing l... read more