Artificial Intelligence Medical Compendium

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

Showing 16,441 to 16,450 of 213,568 articles

Tumor-preserving Deformable Registration of Longitudinal Breast DCE MRI during Neoadjuvant Chemotherapy.

Radiology. Artificial intelligence
Purpose To develop a deep learning-based deformable registration method for breast dynamic contrast-enhanced (DCE) MRI that preserves tumor regions while maintaining global anatomic alignment during neoadjuvant chemotherapy (NAC) response assessment.... read more 

When Artificial Intelligence Enters the Research Process: Implications for Data Integrity in Human Participants Research.

Journal of empirical research on human research ethics : JERHRE
The rapid integration of generative artificial intelligence (AI) into academic and professional workflows is reshaping human participants research. While prior discourse has focused largely on AI-assisted writing and analysis, less attention has been... read more 

Antibiotic therapy in febrile neutropenia in haematological patients: current considerations and future challenges.

Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia
The management of febrile neutropenia (FN) in oncohematological patients is undergoing a paradigm shift driven by a deeper understanding of patients' pathophysiological heterogeneity, the increasing speed and accuracy of microbiological diagnostics, ... read more 

From High-Throughput Screening to Generative Design: Artificial Intelligence-Driven Dielectric Materials Discovery.

ACS applied materials & interfaces
High-performance dielectric materials are strategically vital for post-Moore microelectronics, high-power electrostatic capacitors, and flexible advanced electronics, yet their design is constrained by the intrinsic trade-off between breakdown streng... read more 

Data fusion in air pollution exposure assessment: Methods, applications, and future directions.

Journal of the Air & Waste Management Association (1995)
Over the past two decades, major advances in observational techniques and modeling capabilities have enabled the development of air pollution data fusion methods that integrate information from regulatory monitoring networks, low-cost sensors, satell... read more 

A hybrid radiomics framework integrating genetic algorithm-optimized random forest for preoperative identification of Luminal B breast cancer and Ki-67 prediction: A multicenter study.

The ultrasound journal
BACKGROUND: Preoperative identification of Luminal B breast cancer remains a clinical challenge. This study aimed to develop an ultrasound radiomics framework integrating tumoral and peritumoral information for preoperative identification of Luminal ... read more 

Integrating machine learning models to map springshed potential zones using key environmental variables in high-altitude Himalayan terrain.

Environmental monitoring and assessment
This study presents an integrated machine learning framework to predict potential spring occurrence zones in the high-altitude Kishtwar region of the Indian Himalayas, where springs are rapidly depleting due to climate and anthropogenic pressures. Fo... read more 

Accuracy and precision of automated kidney stone detection on CT.

Abdominal radiology (New York)
BACKGROUND: While computed tomography (CT) is the preferred imaging modality for kidney stone detection and measurement, quantifying the accuracy and precision of stone size metrics is needed, particularly with the growing use of automated image anal... read more