As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

OBJECTIVE: This study was aimed at investigating the carrier rate of, and molecular variation in, α- and β-globin gene mutations in Hunan Province. METHODS: We recruited 25,946 individuals attending premarital screening from 42 districts and counties in all 14 cities of Hunan Province. Hematological screening was performed, and molecular parameters were assessed. RESULTS: The overall carrier rate of thalassemia was 7.1%, including 4.83% for α-thalassemia, 2.15% for β-thalassemia, and 0.12% for both α- and β-thalassemia. The highest carrier rate of thalassemia was in Yongzhou (14.57%). The most abundant genotype of α-thalassemia and β-thalassemia was -α ^3.7/αα (50.23%) and β ^IVS-II-654/β ^N (28.23%), respectively. Four α-globin mutations [CD108 (ACC>AAC), CAP +29 (G>C), Hb Agrinio and Hb Cervantes] and six β-globin mutations [CAP +8 (C>T), IVS-II-848 (C>T), -56 (G>C), beta nt-77 (G>C), codon 20/21 (-TGGA) and Hb Knossos] had not previously been identified in China. Furthermore, this study provides the first report of the carrier rates of abnormal hemoglobin variants and α-globin triplication in Hunan Province, which were 0.49% and 1.99%, respectively. CONCLUSION Our study demonstrates the high complexity and diversity of thalassemia gene mutations in the Hunan population. The results should facilitate genetic counselling and the prevention of severe thalassemia in this region.
Humans ; beta-Thalassemia/genetics* ; alpha-Thalassemia/genetics* ; Hemoglobinopathies/genetics* ; China/epidemiology* ; High-Throughput Nucleotide Sequencing

OBJECTIVE: To observe the effect of acupotomy on the morphology and ultrastructure of rectus femoris muscle in rabbits with knee osteoarthritis and to reveal the possible therapeutic mechanism involved in the effect of acupotomology on the treatment of knee osteoarthritis(KOA). METHODS: Twenty-four male New Zealand rabbits aged 6 months and weighed (2.0±0.5) kg were randomly divided into blank group, model group and acupotomy group, 8 rabbits in each group. KOA model was established by modified Videman method with left hind limb extended plaster immobility for 6 weeks. In acupotomy group, the transfascial focal points of quadriceps femoris muscle were released by acupotomy under the guidance of Jingjin theory for 4 times and once a week, and the treatment points include Hedingci, Binwaixia, Binneixia. Blank group and model group were fed normally without intervention. One week after the end of the intervention, the pennation angle(PA), muscle thickness(MT), cross-sectional area(CSA) and strain ratio(SR) of rectus femoris were measured by ultrasound. HE staining was used to observe the changes of the tissue morphology, the number of muscle fibers and the average area of muscle fibers. The myofibril of rectus femoris, sarcomere and myofilament were observed by transmission electron microscope. RESULTS: The PA of rectus femoris muscle in the blank group was (9.05±0.21)°. The MT was(1.09±0.09) cm and the CSA was(1.30±0.01) cm². The PA of rectus femoris muscle in the model group was (3.06±0.15)°. The MT was (0.71±0.02) cm and the CSA was(0.77±0.02) cm². The PA of rectus femoris muscle in the acupotomy group was (6.94±0.28)°. The MT was (0.80±0.05) cm and the CSA was(0.94±0.03) cm². The muscle PA, MT and CSA of rectus femoris in the model group were significantly smaller than those in the blank group (P<0.05). Those in acupotomy group were significantly increased compared with those in model group (P<0.05). The SR of rectus femoris muscle was 1.19±0.02 in the blank group, 3.50±0.05 in the model group and 1.99±0.07 in the acupotomy group. The elastic SR of the model group was significantly higher than that of the blank group (P<0.05). These in acupotomy group was significantly lower than that in model group(P<0.05). The results of HE staining showed:in blank group, the fascicles of rectus femoris were arranged neatly, the number of beam of muscle fibers within the fixed visual field was 94.38±3.50 and the average CSA was(0.75±0.22) mm². In model group, the fascicles of rectus femoris with different sizes were disorganized with a small amount of inflammatory cell infiltration, the number of beam of muscle fibers within the fixed visual field was 196.63±2.62 and the average CSA was(0.26±0.03) mm². Compared to the blank group, a significant increase in the number of muscle fibers in the fixed field in the model group (P<0.05) and the average CSA decreased significantly(P<0.05). In acupotomy group, the rectus femoris fascicles in the acupotomy group tended to be arranged in a more orderly manner, with the inflammatory cells decreased, the number of beam of muscle fibers within the fixed visual field was 132.88±4.61 and the average CSA was(0.70±0.07) mm². Compared to the model group, a significant decrease in the number of muscle fibers in the fixed field in the model group(P<0.05) and the average CSA increased significantly(P<0.05). The results of transmission electron microscope showed:compared with the blank group, the overall arrangement of the myofibrils of the rectus femoris in the model group was less structured. There was fracture between the muscle fibers and the sarcomere, the myofilaments were disordered, and the fracture of the Z line was discontinuous. Compared with the model group, the myofibrillar texture of rectus femoris in acupotomy group was clearer, and the Z line was more continuous. CONCLUSION Based on the jingjin theory, the release of quadriceps femoris by acupotomy can effectively improve the morphology and structure of rectus femoris, and promote the repair and reconstruction of chronic skeletal muscle injury in rabbits with KOA, which may be one of the mechanisms of acupotomy in the treatment of KOA.
Acupuncture Therapy ; Animals ; Humans ; Male ; Muscle, Skeletal ; Osteoarthritis, Knee/therapy* ; Quadriceps Muscle ; Rabbits ; Ultrasonography

Objective To establish a deep learning-based visual model for intelligent recognition of Oncomelania hupensis, the intermediate host of Schistosoma japonicum, and evaluate the effects of different training strategies for O. hupensis image recognition. Methods A total of 2 614 datasets of O. hupensis snails and 4 similar snails were generated through field sampling and internet capture, and were divided into training sets and test sets. An intelligent recognition model was created based on deep learning, and was trained and tested. The precision, sensitivity, specificity, accuracy, F1 score and Youden index were calculated. In addition, the receiver operating characteristic (ROC) curve of the model for snail recognition was plotted to evaluate the effects of “new learning”, “transfer learning” and “transfer learning + data enhancement” training strategies on the accuracy of the model for snail recognition. Results Under the “transfer learning + data enhancement” strategy, the precision, sensitivity, specificity, accuracy, Youden index and F1 score of the model were 90.10%, 91.00%, 97.50%, 96.20%, 88.50% and 90.51% for snail recognition, which were all higher than those under both “new learning” and “transfer learning” strategies. There were significant differences in the sensitivity, specificity and accuracy of the model for snail recognition under “new learning”, “transfer learning” and “transfer learning + data enhancement” training strategies (all P values < 0.001). In addition, the area under the ROC curve of the model was highest (0.94) under the “transfer learning + dataenhancement” training strategy. Conclusions This is the first visual model for intelligent recognition of O. hupensis based on deep learning, which shows a high accuracy for snail image recognition. The “transfer learning + data enhancement” training strategy is helpful to improve the accuracy of the model for snail recognition.

Objective:To analyze the epidemiological characteristics of a family and workplace clustering of COVID-19， identify the source of infection and the transmission chain， and provide evidence for prevention and control of COVID-19 pandemic. Method:Field epidemiological method was used to conduct the investigation of confirmed cases and close contacts in this cluster. Data were analyzed with descriptive method. Real-time fluorescent quantitative PCR （RT-PCR） was used to detect the novel coronavirus nucleic acid in the collected respiratory tract samples. Results:A total of 18 epidemiological related cases were collected including 16 confirmed cases and 2 cases of asymptomatic infections. The involved places included 1 beauty clinic workplace and 3 families. Seven cases were males and 11 cases were females， with the minimum， maximum and median age of 3， 65 and 32 years old， respectively. Among them， the employees attack rate was 9.80% （10/102）， the family attack rate was 7.70% （5/78）， and the customer attack rate was 0.58% （1/173）. Positive nucleic acid test result in the respiratory tract sample of asymptomatic infection lasted for more than 2 months. Conclusions:The cause of this clustered COVID-19 epidemic is that the workplace environment is relatively closed with clustering crowds， and the source of imported infection is not discovered in time， which lead to a point-source outbreak and spread through family close contacts and clustering.