Artificial Intelligence Medical Compendium

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

Showing 48,991 to 49,000 of 224,513 articles

Non-invasive screening for ovarian cancer by combining serum SERS with interpretable machine learning models.

Talanta
Early identification of malignant ovarian tumors is critical for informing treatment decisions and enhancing patients' quality of life. As the third most prevalent gynecologic cancer globally, ovarian cancer remains challenging to diagnose due to the... read more 

Goal-directed learning in cortical organoids.

Cell reports
Experimental neuroscience techniques are advancing rapidly, with developments in high-density electrophysiology and targeted electrical stimulation enabling single-cell-resolution recording and stimulation. Cortical organoids derived from pluripotent... read more 

Spatial and single-cell transcriptomic atlas of human suprachiasmatic nucleus.

Neuron
The suprachiasmatic nucleus (SCN) is considered the master pacemaker of the circadian clock in mammals, but our current knowledge of the SCN is mostly based on rodent studies. Here, we report a comprehensive molecular and cellular atlas for the adult... read more 

[Impact of digital technology and artificial intelligence on the training of pathology residents: Benefits, limitations, and educational prospects].

Annales de pathologie
New pathology residents are experiencing an unprecedented situation compared to their predecessors. These young doctors, who are highly exposed to digital technology in their daily lives, are or will be the first to encounter it in their medical prac... read more 

Evaluating the role of the main pancreatic duct in intraductal papillary mucinous neoplasm grading: A multi-structure radiomics-based machine learning approach.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to evaluate the contribution of radiomics features extracted from various pancreatic structures on computed tomography (CT) images, including the main pancreatic duct and cystic lesion, for predicting the pathol... read more 

Strategies to reduce perioperative acute kidney injury in non-cardiac adult surgeries: the secret sauce.

Journal of the National Medical Association
Acute kidney injury is a common perioperative complication that leads to significant downstream effects on the patient and the health system. Patients regularly present for surgery with several risk factors for AKI, but we have not yet determined the... read more 

Performance of Radiologist in Interpretation of Non-mass Lesions Detected by Automated Breast Ultrasound: With and Without Commercially Available AI.

Ultrasound in medicine & biology
OBJECTIVES: To evaluate the performance of radiologists with artificial intelligence (AI)-based computer-aided detection (CAD) systems on automated breast ultrasound (ABUS) for breast non-mass lesions (NMLs). METHODS: From July 2020 to April 2022, pa... read more 

Multidimensional analysis of soil metal ecotoxicity and regional ecological risk prediction based on machine learning.

Journal of hazardous materials
Soil metal contamination threatens ecosystem stability and human health, yet risk management is hindered by the lack of thresholds and by models unable to capture multidimensional metal-soil-species interactions. Based on 1231 multidimensional data r... read more 

Interpretable spatiotemporal machine learning reveals hydrogeological and climatic controls on groundwater heavy metal transport in acid mine drainage.

Journal of hazardous materials
Acid mine drainage (AMD) generated by sulfide-bearing waste rock dumps poses persistent risks to groundwater through acidic leachate and heavy-metal mobilization. Traditional solute-transport models are limited by the scarcity of fracture-network par... read more