Artificial Intelligence Medical Compendium

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

Showing 54,931 to 54,940 of 226,183 articles

Multi-omics integration in deciphering non-small cell lung cancer drug resistance: current status, challenges, and future prospects.

Hereditas
Lung cancer is the leading cause of cancer-related deaths globally. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancer cases, and drug resistance severely undermines treatment efficacy. This review summarizes recent ... read more 

Predicting macrosomia and low birth weight with interpretable machine learning.

BMC pregnancy and childbirth
Abnormal birth weight, including macrosomia and low birth weight, constitutes a significant global health burden associated with both immediate neonatal risks and long-term metabolic complications. However, accurate prediction remains challenging due... read more 

A qualitative study assessing the acceptability of a multi-agent AI Chatbot for providing HIV and mental health support among men who have sex with men and transgender women in KwaZulu-Natal, South Africa.

Transactions of the Royal Society of Tropical Medicine and Hygiene
BACKGROUND: Transgender women (TGW) and men who have sex with men (MSM) are disproportionately affected by human immunodeficiency virus (HIV) and mental health challenges. Mental well-being influences uptake and adherence to HIV prevention and treatm... read more 

Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding.

Physiological measurement
Objective.Wearable devices with embedded photoplethysmography (PPG) enable continuous non-invasive monitoring of cardiac activity, offering a promising strategy to reduce the global burden of cardiovascular diseases. However, monitoring during daily ... read more 

AI-Enabled Customer Relationship Management Platforms for Patient Services in Health Care, Early Lessons From Governance, and Program-Level Outcomes.

JMIR medical informatics
This research letter summarizes early lessons from 4 enterprise implementations of artificial intelligence-enabled customer relationship management platforms in health care and describes governance practices associated with improvements in affordabil... read more 

Integrative Multiomics and Drug Sensitivity Profiling Reveal Potential Biomarkers and Therapeutic Strategies in Pediatric Solid Tumors.

Cancer research
UNLABELLED: Cure rates for childhood malignancies using established therapy protocols have increased to an average of 80% but have reached a plateau. Moreover, survival rates are particularly low for some pediatric tumors-such as high-risk group 3 me... read more 

On Hallucinations in Artificial Intelligence-Generated Content for Nuclear Medicine Imaging (the DREAM Report).

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Artificial intelligence-generated content (AIGC) has shown remarkable performance in nuclear medicine imaging (NMI), offering cost-effective software solutions for tasks such as image enhancement, motion correction, and attenuation correction. Howeve... read more 

MLMarker: A machine learning framework for tissue inference and biomarker discovery

bioRxiv
MLMarker is a machine learning tool that computes continuous tissue similarity scores for proteomics data, addressing the challenge of interpreting complex or sparse datasets. Trained on 34 healthy tissues, its Random Forest model generates probabili... read more 

TwinCell: Large Causal Cell Model for Reliable and Interpretable Therapeutic Target Prioritisation

bioRxiv
Drug discovery is impeded by the difficulty of translating targets from preclinical models to patients. Here, we present TwinCell, a Large Causal Cell Model (LCCM) capable of generalising from in vitro cell lines to patient-derived cell types while p... read more