Artificial Intelligence Medical Compendium

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

Showing 72,281 to 72,290 of 235,116 articles

Longitudinal fetal heart rate analysis identifies neonates with metabolic acidemia requiring therapeutic hypothermia.

American journal of obstetrics and gynecology
BACKGROUND: Despite widespread use of intrapartum fetal monitoring, rates of fetal brain injury remain unchanged. Neonatal encephalopathy due to hypoxia-ischemia is a leading cause of neonatal morbidity and mortality, often occurring in the absence o... read more 

A Metabolism-Driven Prognostic Model and PSMD14-SP1-GYS1 Axis Reveal Therapeutic Vulnerabilities in Melanoma.

The Journal of investigative dermatology
Melanoma is a highly aggressive cutaneous malignancy characterized by a strong propensity for metastasis and therapy resistance, with its progression being closely linked to metabolic reprogramming. This study integrated multiomics data (The Cancer G... read more 

Auto-Masked Audio Spectrogram Transformer for depression detection from speech.

Journal of affective disorders
BACKGROUND: Depression is a psychological disorder characterized by altered self-referential cognition and impaired emotional expression. Traditional diagnostic methods can be costly or intrusive, while Speech-based analysis offers an accessible alte... read more 

Impact of artificial intelligence in vision science: A systematic review of progress, emerging trends, data domain quantification, and critical gaps.

Survey of ophthalmology
The prominence of artificial intelligence (AI) is growing exponentially, yet its implementation across research domains is uneven. To quantify AI trends in vision science, we evaluated over 100,000 PubMed article metadata spanning 35 years. Using Med... read more 

Counterfactual causal inference for robust visual question answering.

Neural networks : the official journal of the International Neural Network Society
Visual Question Answering (VQA) systems have seen remarkable progress with the incorporation of multimodal data. However, their performance is still hampered by biases ingrained in language and vision modalities, frequently resulting in subpar genera... read more 

Artificial intelligence and infectious disease diagnostics: state of the art and future perspectives.

The Lancet. Infectious diseases
Artificial intelligence (AI) is reshaping infectious disease diagnostics by supporting clinical decision making, optimising laboratory and clinical workflows, and enabling real-time disease surveillance. AI approaches improve pathogen detection, anti... read more 

Artificial intelligence and infectious diseases: an evidence-driven conceptual framework for research, public health, and clinical practice.

The Lancet. Infectious diseases
As artificial intelligence (AI) is projected to radically shape health care, its role in infectious disease prevention and management is drawing attention. AI offers promising opportunities to help tackle infectious disease threats and improve clinic... read more 

Artificial intelligence and infectious diseases: tackling antimicrobial resistance, from personalised care to antibiotic discovery.

The Lancet. Infectious diseases
Antimicrobial resistance (AMR) is an intractable problem that has the potential to significantly limit advances in human health. Recently, the UN General Assembly (UNGA) High-Level Statement on AMR defined targets for addressing the impact of resista... read more