Artificial Intelligence Medical Compendium

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

Showing 25,061 to 25,070 of 217,472 articles

Frequency Band Personalization for Seizure Network Analysis in Multifocal Patients.

International journal of neural systems
Stereo-electroencephalography (SEEG) is commonly used for pre-surgical evaluation in patients with multifocal epilepsy undergoing responsive neurostimulation (RNS). Seizure network modeling, a data-driven approach to assist RNS implantation and adjus... read more 

Ultralow Energy Optoelectronic Synapse Using Halide Perovskite/Organic Semiconductor Heterostructure for Neuromorphic Computing, Optical Logic and Wireless Communication.

ACS applied materials & interfaces
With the advancement of artificial intelligence, the emulation of biological neural processes through neuromorphic computing has gained significant attention. Artificial optoelectronic synapses have emerged as promising components for neuromorphic co... read more 

Therapeutic targeting of Respiratory Syncytial Virus: Current pharmacological options and future directions in antiviral development.

Microbiological research
Respiratory syncytial virus (RSV) remains a major cause of severe acute respiratory infections across the life course, particularly in infants, older adults, and immunocompromised individuals. For decades, clinical management relied almost exclusivel... read more 

Digital twins in urological oncology and surgery: A review of emerging applications.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Digital twin technology represents a transformative approach in healthcare, creating virtual replicas of physical entities that enable real-time data integration, predictive modelling, and personalised treatment strategies. In urology, th... read more 

Multi-view semi-supervised adversarial attention network for drug repurposing.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Drug repositioning represents an efficient strategy for uncovering new therapeutic indications for approved drugs. However, most existing prediction methods rely on similarity data and overlook biological and chemical inform... read more 

Green artificial intelligence in health applications.

Artificial intelligence in medicine
As the healthcare sector increasingly integrates Artificial Intelligence (AI) technologies to improve operational effectiveness, diagnosis, and therapy, the environmental footprint of these innovations has become a growing concern. High energy consum... read more 

Artificial intelligence language models for medical text analysis: A systematic review.

Artificial intelligence in medicine
Medical text records serve as essential repositories of patient information, providing a foundation for informed clinical decision-making, accurate diagnosis, reliable prognosis, and effective treatment planning. Recent advancements in Artificial Int... read more 

How Can Large Language Models Improve Health Research Skills: A Perspective Study.

Health science reports
BACKGROUND AND AIMS: Health researchers often struggle with challenges such as translating complex texts, interpreting nuanced information, conducting detailed statistical analyses, and more. Artificial Intelligence (AI) models, by providing easy acc... read more