Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 209,934 articles

Artificial Intelligence in Wilderness Search and Rescue: A Narrative Review.

Wilderness & environmental medicine
Artificial intelligence (AI) is transforming wilderness Search and Rescue (SAR), where time constraints, austere conditions, and limited personnel have historically defined outcomes. This narrative review synthesizes the current evidence for AI appli... read more 

Dihydroergotamine alleviates circadian rhythm disorders through predicted interaction with to CRY1.

Molecular diversity
Circadian rhythm disorders (CRDs) significantly affect human health, yet therapeutic options remain limited. This study employed a multi-scale virtual screening approach to identify novel drug candidates from FDA-approved small molecules for the trea... read more 

Chatbot Use by Patients Seeking Urogynecologic Consultation: A Randomized Trial.

Urogynecology (Philadelphia, Pa.)
IMPORTANCE: Urogynecology patients increasingly investigate their problems using technology-based resources, yet the effect of artificial intelligence (AI) chatbots on patient decision making remains unclear. OBJECTIVE: The objective of this study wa... read more 

Chatbot Use by Patients Seeking Urogynecologic Consultation: A Randomized Trial.

Urogynecology (Philadelphia, Pa.)
IMPORTANCE: Urogynecology patients increasingly investigate their problems using technology-based resources, yet the effect of artificial intelligence (AI) chatbots on patient decision making remains unclear. OBJECTIVE: The objective of this study wa... read more 

Rapid identification of Chrysanthemi Flos based on multi-source data fusion and machine learning algorithms.

Talanta
Chrysanthemi Flos (CF), a versatile herb utilized for both medicinal and culinary applications, exhibits a range of visually similar varieties. The majority of extant investigations identify herbal materials merely based on isolated morphological tra... read more 

Multidisciplinary research priorities for artificial intelligence in mental health: a call to action.

The lancet. Psychiatry
The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the rapid research growth in this field has outpaced coordinated frameworks, leaving research efforts fragmented, standards inconsistent, and safeguards ... read more 

Modeling predictors of incomplete antenatal care utilization among reproductive-age women in Ethiopia using machine learning algorithms and SHAP interpretation.

PLOS digital health
The incidence of maternal deaths from preventable pregnancy-related conditions remains alarmingly high at 303,000 annually, with over 800 women dying daily from avoidable causes. Ethiopia is one of eight sub-Saharan African countries that are identif... read more 

Predicting the finished fabric width and areal density (Grams per Square Meter) of commercially produced plain Single Jersey (100% Cotton) Knitted Fabric using Fuzzy Inference System (FIS).

PloS one
The purpose of this research is to predict Finished Fabric Width (FW) & Areal Density (GSM) of 100% cotton plain single jersey knitted fabric by building a fuzzy inference model incorporating key input parameters such as Stitch Length (SL), Yarn Fine... read more 

Advancing outbreak detection: Hybridizing machine learning with wavelets for weekly dengue case forecasting.

PLoS neglected tropical diseases
BACKGROUND: Traditional surveillance systems often struggle with the volatility of weekly case data, limiting timely prevention and control efforts. In the Philippines, the standard method for setting outbreak thresholds relies on historical moving a... read more