Intraoperative neural monitoring (IONM) is a critical technique for the protection of recurrent laryngeal nerve (RLN) function during thyroid surgery. In recent years, continuous innovations in IONM have established it as a cornerstone of modern thyroid surgery. However, current methodologies still exhibit limitations in the accurate assessment of neural function, and guidelines have yet to provide clear strategies for managing patients with intraoperative signal loss who subsequently develop postoperative voice disorders. This article reviews representative advances in the application of deep learning to bioelectrophysiological signals and systematically summarizes the use of deep learning in the field of voice medicine, thereby exploring the feasibility of integrating IONM with deep learning technologies.

Intraoperative neural monitoring (IONM) is a critical technique for the protection of recurrent laryngeal nerve (RLN) function during thyroid surgery. In recent years, continuous innovations in IONM have established it as a cornerstone of modern thyroid surgery. However, current methodologies still exhibit limitations in the accurate assessment of neural function, and guidelines have yet to provide clear strategies for managing patients with intraoperative signal loss who subsequently develop postoperative voice disorders. This article reviews representative advances in the application of deep learning to bioelectrophysiological signals and systematically summarizes the use of deep learning in the field of voice medicine, thereby exploring the feasibility of integrating IONM with deep learning technologies.

Deep brain stimulation(DBS),including optical stimulation and electrical stimulation,has been demonstrated considerable value in exploring pathological brain activity and developing treatments for neural disorders.Advances in DBS microsystems based on implantable microelectrode array(MEA)probes have opened up new opportunities for closed-loop DBS(CL-DBS)in situ.This technology can be used to detect damaged brain circuits and test the therapeutic potential for modulating the output of these circuits in a variety of diseases simultaneously.Despite the success and rapid utilization of MEA probe-based CL-DBS microsystems,key challenges,including excessive wired communication,need to be urgently resolved.In this review,we considered recent advances in MEA probe-based wireless CL-DBS microsystems and outlined the major issues and promising prospects in this field.This technology has the potential to offer novel therapeutic options for psychiatric disorders in the future.

Department of Burns and Plastic Surgery of Ruijin Hospital Affiliated to the Medical School of Shanghai Jiao Tong University is derived from the group of severe burn treatment in Surgical Department of Kuang-Ci Hospital in Shanghai in 1958. In three score years, they created and developed distinctive technologies in treatment of massive deep burns, including early eschar excision on deep burn wound by stages and batches, taking the scalp as a donor site, wound covering with the large sheet of allo- or xeno-skin graft with small holes covered by small pieces of autoskin, the Ruijin formula for fluid resuscitation in early stage post burn and the " hibernation remedy" , which achieved actual effects in clinic, and they summed up academically the experiences of their clinical practice and researches. These technologies with other creations by Chinese burn surgeons have been named as " Chinese method" of burn treatment.