OBJECTIVETo compare the therapeutic effects of acupuncture and western medicine on minimal brain dysfunction (MBD) and to search for a clinically effective therapy for MBD.

METHODSSixty-eight cases were randomly divided into an acupuncture group and a western medicine group, 34 cases in each group. The acupuncture group were treated by acupuncture at Dazhui (GV 14) and Shenque (CV 8), and the western medicine group by taking Haloperidol orally. One month constituted one course. After treatment, the total effective rate and scores of Connell's scale for diagnosis and behavior of MBD were compared between the two groups.

RESULTSThe total effective rate and the score after treatment were 97.1% and 10 +/- 0.37 in the acupuncture group and 82.4% and 15 +/- 0.93 in the western medicine group, with a very significant difference between the two groups (P < 0.01, P < 0.000 5), the acupuncture group being better than the western medicine group. Follow-up survey for 2-10 months showed the effects of the acupuncture group still were kept.

CONCLUSIONAcupuncture at Dazhui (GV 14) and Shenque (CV 8) can effectively cure MBD.

Acupuncture Therapy ; methods ; Adolescent ; Attention Deficit Disorder with Hyperactivity ; therapy ; Child ; Female ; Haloperidol ; therapeutic use ; Humans ; Male ; Medicine, Chinese Traditional

It is noteworthy that only 5% of more than 7000 described rare diseases are treated. In the era of big data, there is ever-increasing data for understanding biomedicine. The need for efficient and rapid data collection, analyses and characterization methods is pressing. Rare diseases can particularly benefit from artificial intelligence (AI) application. AI, with an emphasis on machine learning, creates a path for such efforts and is being applied to diagnosis and treatment. AI has demonstrated its potential to learn and analyze data from different sources with results in prediction。Presently, there are AI-driven technologies applied for rare diseases and this review aims to summarize these advances. Moreover, this review scrutinizes the limitation and identifies the pitfalls of AI applications in the diagnosis and treatment of rare diseases.