Artificial intelligence (AI) integrated with time-lapse (TL) imaging for embryo selection significantly minimizes subjectivity and workload in traditional methods, marking a pivotal advancement in the realm of assisted reproductive technology. This review comprehensively summarizes the representative studies conducted in recent years within these domains and delves into the application of AI combined with TL imaging for embryo selection from three perspectives: data selection, model selection, and model evaluation. While AI research has yet to fully achieve automated embryo selection, it has already commenced assisting embryologists in annotating and selecting embryos to a considerable extent, thereby reducing subjective discrepancies and easing the workload. Existing software for oocyte quality scoring, embryo ploidy prediction, and transfer outcome forecasting has exhibited promising performance in studies. However, there remains an ongoing need for the development of high-quality datasets and the conduct of prospective, multicenter studies with large sample sizes across diverse devices. The evolution of AI combined with TL imaging in the field of embryo selection merits heightened attention from both clinicians and embryologists.

Deep brain stimulation(DBS)has witnessed rapid advancement as a neurosurgical intervention over the past four decades,addressing movement disorders and a spectrum of neuropsychiatric conditions.Notably,subthalamic nucleus deep brain stimulation(STN-DBS)is widely implemented in the management of Parkinson's disease(PD)patients experiencing refractory motor fluctuations and complications,and has shown promise in ameliorating non-motor symptoms(NMS).However,the long-term efficacy of STN-DBS on NMS remains a subject of scholarly discourse.This review endeavors to synthesize current knowledge regarding the long-term impacts,underlying mechanisms,and future research directions of STN-DBS in the context of NMS in Parkinson's disease.

Artificial intelligence (AI) integrated with time-lapse (TL) imaging for embryo selection significantly minimizes subjectivity and workload in traditional methods, marking a pivotal advancement in the realm of assisted reproductive technology. This review comprehensively summarizes the representative studies conducted in recent years within these domains and delves into the application of AI combined with TL imaging for embryo selection from three perspectives: data selection, model selection, and model evaluation. While AI research has yet to fully achieve automated embryo selection, it has already commenced assisting embryologists in annotating and selecting embryos to a considerable extent, thereby reducing subjective discrepancies and easing the workload. Existing software for oocyte quality scoring, embryo ploidy prediction, and transfer outcome forecasting has exhibited promising performance in studies. However, there remains an ongoing need for the development of high-quality datasets and the conduct of prospective, multicenter studies with large sample sizes across diverse devices. The evolution of AI combined with TL imaging in the field of embryo selection merits heightened attention from both clinicians and embryologists.

Recent years have witnessed significant advancements in myopia control research through the application of diffuse optical technology(DOT)spectacle lenses. Myopia has emerged as a global public health challenge, affecting nearly half of the world's population, with childhood and adolescent myopia rates continuing to rise. DOT lenses represent an innovative myopia control intervention based on retinal contrast signal theory. These lenses incorporate micro-light scattering dots distributed across the lens surface to reduce retinal imaging contrast and modulate the influence of visual input on axial elongation, thereby slowing myopia progression. The core mechanism operates through refractive index differences between the lens substrate(1.53)and scattering dots(1.50), which generate optical scattering effects. This design maintains clear vision through a central 5 mm optical zone while effectively reducing contrast signal intensity in the peripheral retina. Large-scale randomized controlled trials, including the CYPRESS study, have demonstrated significant myopia control efficacy in children aged 6-10 years: 12-month follow-up data revealed a 74% reduction in myopia progression and a 50% reduction in axial elongation, with sustained safety and visual quality maintained over 4-year long-term follow-up. However, several aspects of DOT technology remain contentious and require further clinical validation, including its applicability across different age groups, optimal scattering dot density configurations, combined application effects with other myopia control methods, and long-term visual adaptation during extended use. This review systematically examines the theoretical foundations, design characteristics, clinical application progress, and future development directions of DOT technology, providing scientific evidence for clinical myopia prevention and control strategy formulation.

With the technological innovation and the advances in information technology, acupuncture-moxibustion is on the path of modernization and high-quality development. The research on ancient acupuncture-moxibustion literature has been gradually transformed from traditional sorting and digital research to intelligent knowledge services, so as to realize the deep integration of ancient acupuncture-moxibustion knowledge with the needs of modern clinical practice and scientific research. Guided by the characteristics of acupuncture-moxibustion knowledge and based on the knowledge meta-theory, the in-depth analytical indexing and knowledge organization are conducted on more than 400 kinds of ancient acupuncture-moxibustion literature. Taking ancient literature of meridian symptoms/manifestations as an example, thematic literature research and database construction are carried out. Integrated with database, cloud platform, knowledge domain mapping and other technologies, the sharing service platform of ancient acupuncture-moxibustion knowledge is constructed. As a result, the research and development achievements can be adopted by the researchers in the field of basic theory, clinical practice and research of acupuncture-moxibustion. Finally, through the way of "digital reconstruction + intelligent application", the path and paradigm of digital research of ancient acupuncture-moxibustion literature are explored to provide the references for the innovative utilization of ancient acupuncture-moxibustion literature.
Moxibustion/history* ; Humans ; Acupuncture Therapy/history* ; History, Ancient ; Knowledge

OBJECTIVE: To organize and display systematically the ancient medical records of stroke treated with acupuncture and moxibustion based on the knowledge element theory of information technology, so as to provide the path and paradigm for the construction of ancient acupuncture and moxibustion knowledge model. METHODS: The medical records of stroke treated with acupuncture and moxibustion were collected from the monographs of acupuncture and moxibustion and tuina, medical reports, the ancient works of traditional Chinese medicine of comprehensive collection and clinical disorders of each medical department, from the pre-Qin period to the late Qing Dynasty, collected in Zhonghua Yidian (Canon of Chinese Medicine), the fifth edition. Using "knowledge processing platform of ancient Chinese medicine books", the medical records of stroke treated with acupuncture and moxibustion in ancient time were deeply analyzed and indexed. With the MS SQL Server database adopted, the indexing results were exported into logical data; and Neo4j database was employed to build the knowledge graph of stroke treatment with acupuncture and moxibustion in ancient time. RESULTS: There were 43 medical records in 18 ancient books that met the inclusion criteria, and a logical structure was organized and composed of 65 knowledge bodies, 462 knowledge elements, 1,413 semantic types and 315 semantic associations. CONCLUSION Based on the knowledge element theory, the medical records of stroke treated with acupuncture and moxibustion in ancient time have been explored, and the logical data formed can accurately reflect the knowledge of the different attributes inside these medical records. It displays the knowledge organization category from the overall to the local. The knowledge graph generated according to the logical data is conducive to presenting the ancient acupuncture knowledge in view of the "vertical and horizontal" dimensions.
Moxibustion/history* ; Humans ; Acupuncture Therapy/history* ; Stroke/history* ; History, Ancient ; Medical Records ; China

"Jingmai binghou" (meridian symptoms) is not the original term in ancient works, and it is proposed in modern teaching materials of acupuncture. It refers to "the diseases caused by the invasion of pathogenic factors into meridians", and "diseases of the affected meridians", recorded in jingmai (Meridian) of Lingshu (Miraculous Pivot). The proposal of this term is related to the academic tendency of textbook writers and the influence of TCM policy in China. Through collating and analyzing the records of meridian disorders in ancient works, it is found that besides the classic "meridian symptoms", many zangfu disorders, the disorders along the running course of meridian based on meridian differentiation, collateral disorders and the disorders of the exterior-interior relationship of meridians should be classified as meridian disorder. In order to accurately express the rich content of "Jingmai binghou", from the perspective of terminology normalization, it is believed that the expression as "meridian-collateral dominated disease" may reflect its connotation more comprehensively.
Meridians ; Humans ; China ; Terminology as Topic ; History, Ancient ; Acupuncture Therapy/history* ; Medicine, Chinese Traditional/history*

This paper presents a textual research on the author, year of composition, basic content, and academic value of Zhenjiu Neipian (Inner Analects of Acupuncture and Moxibustion). This acupuncture-moxibustion work was written by DA Zhongguang, alias Jiang Shang Wai Shi, a renowned painter and calligrapher of the Qing Dynasty. The work was compiled around the reign of Emperor Kangxi (1661-1692). It includes four parts. The first part covers general theories and needle-forging techniques; the second part introduces meridian and acupoint diagrams and the verses of acupoints; the third part is the verses of contraindications of acupuncture and moxibustion; and the fourth part discusses reinforcing and reducing techniques. Zhenjiu Neipian is mainly based on Dou's acupuncture books, Pu Ji Fang (Formulas for Universal Relief), Lei Jing Tu Yi (Pictorial Appendices to 'The Classified Classic'), Zhenjiu Dacheng (The Great Compendium of Acupuncture and Moxibustion), Gu Jin Yi Tong Da Quan (The Complete Compendium of Ancient and Modern Medical Works), Zi Hui (Dictionary of Chinese Characters) , and Ling's acupuncture books. Zhenjiu Neipian preserves some lost writings in lost medical books such as Dou's acupuncture books and Ling's acupuncture books. In addition, it plays an important role in acupoint selection methods, acupuncture and moxibustion techniques, and the indications of acupoints, presenting a high literature and clinical value. This book is an invaluable acupuncture-moxibustion book for studying Ling's acupuncture techniques.
Humans ; China ; Acupuncture Therapy/history* ; Moxibustion/history* ; History, 17th Century ; Acupuncture/education* ; Books/history* ; Acupuncture Points

To investigate the incidence of postoperative neuropsychic dysfunction (PND) in Parkinson's disease (PD) patients undergoing deep brain stimulation (DBS) and to analyze its influencing factors.

Deep brain stimulation(DBS)has witnessed rapid advancement as a neurosurgical intervention over the past four decades,addressing movement disorders and a spectrum of neuropsychiatric conditions.Notably,subthalamic nucleus deep brain stimulation(STN-DBS)is widely implemented in the management of Parkinson's disease(PD)patients experiencing refractory motor fluctuations and complications,and has shown promise in ameliorating non-motor symptoms(NMS).However,the long-term efficacy of STN-DBS on NMS remains a subject of scholarly discourse.This review endeavors to synthesize current knowledge regarding the long-term impacts,underlying mechanisms,and future research directions of STN-DBS in the context of NMS in Parkinson's disease.