Results 111 to 120 of about 2,757,829 (251)

A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley   +1 more source

Exploring the efficacy and safety of perampanel in epilepsia partialis continua: A case series

Epileptic Disorders, EarlyView.
Abstract Background Epilepsia partialis continua (EPC) is a form of focal motor status epilepticus (SE), which is commonly drug‐resistant requiring treatment with multiple antiseizure medications (ASM). There are no established guidelines for pharmacological management.
Setareh Lahsaee, Kristin M. Ikeda, Stephanie Woodroffe, Benjamin P. Whatley   +3 more
wiley   +1 more source

Electroclinical features and dynamic network connectivity of orbitofrontal epilepsy

Epilepsia, EarlyView.
Abstract Objective Orbitofrontal epilepsy (OFE) is rare and underrecognized. This study aims to characterize electroclinical features and dynamic network connectivity of OFE and subtypes. Methods We retrospectively analyzed 17 patients with OFE who underwent stereoelectroencephalographic (SEEG) electrode implantation and epilepsy surgery at our center.
Meixuan Ren, Cuiping Xu, Na Clara Pan, Runshi Gao, Wei Shu, Xueyuan Wang, Xi Zhang, Li Wang, Liping Zhang, Xiaoming Yan, Xiaohua Zhang, Tao Yu, Mohamad Z Koubeissi, Yuping Wang   +13 more
wiley   +1 more source

Epilepsy syndromes classification

Epilepsia Open, EarlyView.
Abstract Epilepsy syndromes are distinct electroclinical entities which have been recently defined by the International League Against Epilepsy Nosology and Definitions Task Force. Each syndrome is associated with “a characteristic cluster of clinical and EEG features, often supported by specific etiologic findings”.
Elaine C. Wirrell, Nicola Specchio, Rima Nabbout, Phillip L. Pearl, Kate Riney   +4 more
wiley   +1 more source

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source

ChatGPT in Educational Research: A Case Study of Graduate Students' Use and Ethical Perceptions

Future in Educational Research, EarlyView.
ABSTRACT The rise of generative AI, particularly ChatGPT, has transformed academic research, raising both opportunities and ethical concerns. This study examines how graduate students in the education field utilize ChatGPT and their ethical perceptions regarding its use.
Eunseon Lim, Hyunwoong Lee, Yeoran Choi
wiley   +1 more source

Harnessing the Potential of LLMs in Hospital Management: Insights Into Medical Data Inquiry

The International Journal of Health Planning and Management, EarlyView.
ABSTRACT Background Considering the rapid expansion of hospital operations and the increasing digitisation of medical data, there is a pressing need for efficient and intelligent methods to process and analyse large‐scale medical data. Methods We integrated the QLoRA algorithm with ChatGLM2‐6b, Llama2‐7b, and Llama2‐13b models, fine‐tuning them on a ...
Jiaxi Li, Yu Zhang, Jing Zhao, Shengyang He, Danni Li   +4 more
wiley   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Artificial intelligence and liquidation: Reality, destiny and fantasy

International Insolvency Review, EarlyView.
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley   +1 more source

Anti‐NMDA receptor autoimmune encephalitis associated with ovarian teratoma: A case series and literature review

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 23-30, April 2025.
Abstract Autoimmune encephalitis is a group of disorders characterized by symptoms of dysfunction of the limbic and extra‐limbic systems that occur in association with antibodies against intracellular antigens, synapses, or proteins located on the surface of nerve cells. Anti‐NMDA (N‐methyl‐D‐aspartate) receptor encephalitis was first described in 2007
Pham Ba Nha, Nguyen Phuong Tu, Nguyen Viet Ha, Duong Thi Thu Hien, Nguyen Thi Thu Phuong, Nguyen Anh Son, Nguyen Tien Hoang   +6 more
wiley   +1 more source