Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.

In recent years, fibroblast activation protein inhibitor (FAPI) PET imaging, which targets the tumor microenvironment, has shown significant potential in evaluating solid tumors. Particularly, studies have demonstrated the value of 68Ga-FAPI PET in evaluation of gastric and colorectal cancer. This article reviews previous studies and provides an overview of how 68Ga-FAPI PET can be used in the diagnosis, staging, recurrence monitoring, clinical management, efficacy evaluation, and prognostic prediction of gastric and colorectal cancer, in order to provide a basis for the further utilization of this novel imaging agent, 68Ga-FAPI, in gastric and colorectal cancer.

Objective:To determine if preoperative 68Ga-fibroblast activation protein inhibitor (FAPI)-04 PET/MR could contribute to predicting pathological complete response (pCR) in patients with gastrointestinal cancer undergoing neoadjuvant immunotherapy. Methods:In this retrospective study, 35 patients (23 males, 12 females, age (59.1±7.9) years) with gastrointestinal cancer who underwent 68Ga-FAPI-04 PET/MR after receiving neoadjuvant immunotherapy between February 2021 and January 2024 were enrolled. Clinical data, PET imaging parameters including SUV, peak of SUV normalized by lean body mass (SUL peak), FAPI-positive tumor volume (FTV), and total FAPI-positive lesion burden (TLF), and pathological data were collected and analyzed. Patients were divided into pCR group and non-pCR group, and the independent-sample t test or Mann-Whitney U test was performed to compare those parameters between the 2 groups. ROC curve analysis (Delong test) was performed to evaluate the diagnostic efficiency of each parameter to predict pCR. Results:The overall pCR rate of the neoadjuvant therapy was 40.0%(14/35). In the visual evaluation, 68Ga-FAPI-04 PET was limited in predicting pCR, showing false positivity in 12 patients and false negative in 1 patent. While SUV max( t=2.50, P=0.018), SUL peak( t=3.11, P=0.004), FTV( U=3.00, P=0.030) and TLF( U=2.96, P=0.042) in non-pCR group were all higher than those in pCR group. The predictive efficiency of FTV <1.925cm 3 for pCR was better than the efficiency of PET visual evaluation ( Z=3.61, P<0.001), with the prediction accuracy of 82.86%(29/35). Conclusions:68Ga-FAPI-04 PET/MR may provide an effective clinical tool for guiding further treatment of patients with gastrointestinal cancer undergoing neoadjuvant immunotherapy. The quantitative features derived from 68Ga-FAPI-04 PET appear promising in predicting pCR, which are expected to provide a reference for avoiding surgery.

In recent years, the convergent media environment, which integrates text, video, audio, animation, and other media forms, has become indispensable in higher education. Online teaching within this environment leverages a " cloud-based, multi-screen" dissemination model, effectively integrating various forms of media resources to accommodate mobile and ubiquitous learning scenarios. This approach meets the diverse needs of different learners, and makes course content delivery more dynamic while enhancing teacher-student interaction. As a result, it fosters innovation in course instruction, shifting teaching methods from " standardization" to " differentiation" , thereby providing a platform and resources for personalized learning. This paper analyzes the design and resource development strategies for Nuclear Medicine online courses within the convergent media environment from three perspectives: constructing a high-quality online course system centered on learning outcomes, driving innovation in online teaching focused on the learning experience, and highlighting the efficacy of cultivating high-quality nuclear medicine professionals through a top-tier online course. By systematically summarizing the implementation experience in building the Nuclear Medicine online course, this article aims to provide strategies and pathways to enrich the content supply and cross-platform integration of online medical courses in China.

Objective The aim of this study was to explore the acceptance and influencing factors of self-collected urine samples for human papillomavirus(HPV)testing in cervical cancer screening among eligible women,and to provide scientific evidence for promoting this testing in low resource areas.Methods A population-based cross-sectional study was conducted from 2022 to 2023 at the Maternal and Child Health Hospital in Shuangliu district,Chengdu City Sichuan Province.The study subjects were women aged 21 to 69 years old,and a customized questionnaire was used to conduct general information and acceptance surveys on the partic-ipants.Results A total of 2,062 women were included,with an average age of 51.58±9.34 years.Among them,1,501(72.79％)women believed that self-sampling urine was very easy.However,although 1,333(64.65％)women were still willing to accept doctor sampling as a cervical cancer screening method,only 729(35.35％)were more willing to accept self-sampling urine HPV testing.Age,educational level,annual household income,awareness of HPV,HPV vaccination status,and a sense of shame about the doctor's sampling process were all associated with the acceptance of self-collected urine HPV testing among women undergoing cervical cancer screening(P＜0.001).The results of multivariate logistic regression analysis indicated that older women(OR=0.965,95％CI:0.951-0.979)and those who were not familiar with HPV(OR=0.760,95％CI:0.602-0.961)were more likely to undergo self sampling urine HPV testing,while those with junior high school education(OR=1.330,95％CI:1.053-1.682),high school education or a-bove(OR=1.990,95％CI:1.401-2.827),and a sense of shame towards the doctor's sampling process(OR=2.314,95％CI:1.706-3.142)were more likely to undergo self sampling urine for HPV testing.Conclusions Most women believe that self sampling urine for HPV testing is very easy,but compared to doctor sampling,only some women choose to self sample urine for HPV testing.Key health education interventions should be carried out for older and lower educated populations to promote acceptance of urine HPV testing.

Objective The aim of this study was to explore the acceptance and influencing factors of self-collected urine samples for human papillomavirus(HPV)testing in cervical cancer screening among eligible women,and to provide scientific evidence for promoting this testing in low resource areas.Methods A population-based cross-sectional study was conducted from 2022 to 2023 at the Maternal and Child Health Hospital in Shuangliu district,Chengdu City Sichuan Province.The study subjects were women aged 21 to 69 years old,and a customized questionnaire was used to conduct general information and acceptance surveys on the partic-ipants.Results A total of 2,062 women were included,with an average age of 51.58±9.34 years.Among them,1,501(72.79％)women believed that self-sampling urine was very easy.However,although 1,333(64.65％)women were still willing to accept doctor sampling as a cervical cancer screening method,only 729(35.35％)were more willing to accept self-sampling urine HPV testing.Age,educational level,annual household income,awareness of HPV,HPV vaccination status,and a sense of shame about the doctor's sampling process were all associated with the acceptance of self-collected urine HPV testing among women undergoing cervical cancer screening(P＜0.001).The results of multivariate logistic regression analysis indicated that older women(OR=0.965,95％CI:0.951-0.979)and those who were not familiar with HPV(OR=0.760,95％CI:0.602-0.961)were more likely to undergo self sampling urine HPV testing,while those with junior high school education(OR=1.330,95％CI:1.053-1.682),high school education or a-bove(OR=1.990,95％CI:1.401-2.827),and a sense of shame towards the doctor's sampling process(OR=2.314,95％CI:1.706-3.142)were more likely to undergo self sampling urine for HPV testing.Conclusions Most women believe that self sampling urine for HPV testing is very easy,but compared to doctor sampling,only some women choose to self sample urine for HPV testing.Key health education interventions should be carried out for older and lower educated populations to promote acceptance of urine HPV testing.

In recent years, fibroblast activation protein inhibitor (FAPI) PET imaging, which targets the tumor microenvironment, has shown significant potential in evaluating solid tumors. Particularly, studies have demonstrated the value of 68Ga-FAPI PET in evaluation of gastric and colorectal cancer. This article reviews previous studies and provides an overview of how 68Ga-FAPI PET can be used in the diagnosis, staging, recurrence monitoring, clinical management, efficacy evaluation, and prognostic prediction of gastric and colorectal cancer, in order to provide a basis for the further utilization of this novel imaging agent, 68Ga-FAPI, in gastric and colorectal cancer.

Objective:To determine if preoperative 68Ga-fibroblast activation protein inhibitor (FAPI)-04 PET/MR could contribute to predicting pathological complete response (pCR) in patients with gastrointestinal cancer undergoing neoadjuvant immunotherapy. Methods:In this retrospective study, 35 patients (23 males, 12 females, age (59.1±7.9) years) with gastrointestinal cancer who underwent 68Ga-FAPI-04 PET/MR after receiving neoadjuvant immunotherapy between February 2021 and January 2024 were enrolled. Clinical data, PET imaging parameters including SUV, peak of SUV normalized by lean body mass (SUL peak), FAPI-positive tumor volume (FTV), and total FAPI-positive lesion burden (TLF), and pathological data were collected and analyzed. Patients were divided into pCR group and non-pCR group, and the independent-sample t test or Mann-Whitney U test was performed to compare those parameters between the 2 groups. ROC curve analysis (Delong test) was performed to evaluate the diagnostic efficiency of each parameter to predict pCR. Results:The overall pCR rate of the neoadjuvant therapy was 40.0%(14/35). In the visual evaluation, 68Ga-FAPI-04 PET was limited in predicting pCR, showing false positivity in 12 patients and false negative in 1 patent. While SUV max( t=2.50, P=0.018), SUL peak( t=3.11, P=0.004), FTV( U=3.00, P=0.030) and TLF( U=2.96, P=0.042) in non-pCR group were all higher than those in pCR group. The predictive efficiency of FTV <1.925cm 3 for pCR was better than the efficiency of PET visual evaluation ( Z=3.61, P<0.001), with the prediction accuracy of 82.86%(29/35). Conclusions:68Ga-FAPI-04 PET/MR may provide an effective clinical tool for guiding further treatment of patients with gastrointestinal cancer undergoing neoadjuvant immunotherapy. The quantitative features derived from 68Ga-FAPI-04 PET appear promising in predicting pCR, which are expected to provide a reference for avoiding surgery.

In recent years, the convergent media environment, which integrates text, video, audio, animation, and other media forms, has become indispensable in higher education. Online teaching within this environment leverages a " cloud-based, multi-screen" dissemination model, effectively integrating various forms of media resources to accommodate mobile and ubiquitous learning scenarios. This approach meets the diverse needs of different learners, and makes course content delivery more dynamic while enhancing teacher-student interaction. As a result, it fosters innovation in course instruction, shifting teaching methods from " standardization" to " differentiation" , thereby providing a platform and resources for personalized learning. This paper analyzes the design and resource development strategies for Nuclear Medicine online courses within the convergent media environment from three perspectives: constructing a high-quality online course system centered on learning outcomes, driving innovation in online teaching focused on the learning experience, and highlighting the efficacy of cultivating high-quality nuclear medicine professionals through a top-tier online course. By systematically summarizing the implementation experience in building the Nuclear Medicine online course, this article aims to provide strategies and pathways to enrich the content supply and cross-platform integration of online medical courses in China.

Objective:To evaluate the diagnostic efficacy of the multiparametric MRI (mpMRI) deep learning artificial intelligence (AI) analysis system combined with 68Ga-prostate specific membrane antigen (PSMA) PET for prostate cancer. Methods:Data of 103 patients (age: 45-85 years) who underwent 68Ga-PSMA PET/MR at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from May 2018 to October 2023 for suspected or confirmed prostate cancer were retrospectively collected. ROI was delineated to measure SUV max of primary tumor or prostate, and a deep learning AI system was applied to analyze MR images of the prostate. The diagnostic efficacies of T 2 weighted imaging (WI), diffusion WI (DWI), mpMRI, PET SUV max, and PET/MR for prostate cancer were assessed, with using the pathological results as the gold standard. Results:Among 103 patients, 82 cases (79.61%) were with prostate cancer. PET unimodality demonstrated the best specificity (100%, 21/21), positive predictive value (100%, 58/58), and AUC (0.860, 95% CI: 0.777-0.920). The mpMRI AI analysis provided rapid diagnostic results and the sensitivity and accuracy were improved by combining with PET (sensitivities of PET, mpMRI and the combination of the two were 70.73%(58/82), 86.59%(71/82), and 92.68%(76/82), respectively; the accuracies were 76.70%(79/103), 81.55%(84/103) and 86.41%(89/103), respectively). Among 44 patients with negative PET, 30 patients received an accurate diagnosis when the results of mpMRI AI analysis were added. Conclusions:68Ga-PSMA PET demonstrates good specificity for prostate cancer and mpMRI AI analysis is time-saving. The combined application improves the diagnostic sensitivity and accuracy, which provides a valuable tool for 68Ga-PSMA PET/MR image analysis.