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2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology
No full textObjective: In Korea, radiology has been positioned towards the early adoption of artificial intelligence -based software as medical devices (AI-SaMDs); however, little is known about the current usage, implementation, and future needs of AI-SaMDs. We surveyed the current trends and expectations for AI-SaMDs among members of the Korean Society of Radiology (KSR). Materials and Methods: An anonymous and voluntary online survey was open to all KSR members between April 17 and May 15, 2023. The survey was focused on the experiences of using AI-SaMDs, patterns of usage, levels of satisfaction, and expectations regarding the use of AI-SaMDs, including the roles of the industry, government, and KSR regarding the clinical use of AI-SaMDs. Results: Among the 370 respondents (response rate: 7.7% [370/4792]; 340 board -certified radiologists; 210 from academic institutions), 60.3% (223/370) had experience using AI-SaMDs. The two most common use -case of AI-SaMDs among the respondents were lesion detection (82.1%, 183/223), lesion diagnosis/classification (55.2%, 123/223), with the target imaging modalities being plain radiography (62.3%, 139/223), CT (42.6%, 95/223), mammography (29.1%, 65/223), and MRI (28.7%, 64/223). Most users were satisfied with AI-SaMDs (67.6% [115/170, for improvement of patient management] to 85.1% [189/222, for performance]). Regarding the expansion of clinical applications, most respondents expressed a preference for AI-SaMDs to assist in detection/diagnosis (77.0%, 285/370) and to perform automated measurement/quantification (63.5%, 235/370). Most respondents indicated that future development of AI-SaMDs should focus on improving practice efficiency (81.9%, 303/370) and quality (71.4%, 264/370). Overall, 91.9% of the respondents (340/370) agreed that there is a need for education or guidelines driven by the KSR regarding the use of AI-SaMDs. Conclusion: The penetration rate of AI-SaMDs in clinical practice and the corresponding satisfaction levels were high among members of the KSR. Most AI-SaMDs have been used for lesion detection, diagnosis, and classification. Most respondents requested KSR-driven education or guidelines on the use of AI-SaMDs.N
Artificial Intelligence for Assessment of Endotracheal Tube Position on Chest Radiographs: Validation in Patients From Two Institutions
No full textBACKGROUND. Timely and accurate interpretation of chest radiographs obtained to evaluate endotracheal tube (ETT) position is important for facilitating prompt adjustment if needed. OBJECTIVE. The purpose of our study was to evaluate the performance of a deep learning (DL)-based artificial intelligence (AI) system for detecting ETT presence and position on chest radiographs in three patient samples from two different institutions. METHODS. This retrospective study included 539 chest radiographs obtained immediately after ETT insertion from January 1 to March 31, 2020, in 505 patients (293 men, 212 women; mean age, 63 years) from institution A (sample A); 637 chest radiographs obtained from January 1 to January 3, 2020, in 302 patients (157 men, 145 women; mean age, 66 years) in the ICU (with or without an ETT) from institution A (sample B); and 546 chest radiographs obtained from January 1 to January 20, 2020, in 83 patients (54 men, 29 women; mean age, 70 years) in the ICU (with or without an ETT) from institution B (sample C). A commercial DL-based AI system was used to identify ETT presence and measure ETT tip-to-carina distance (TCD). The reference standard for proper ETT position was TCD between greater than 3 cm and less than 7 cm, determined by human readers. Critical ETT position was separately defined as ETT tip below the carina or TCD of 1 cm or less. ROC analysis was performed. RESULTS. AI had sensitivity and specificity for identification of ETT presence of 100.0% and 98.7% (sample B) and 99.2% and 94.5% (sample C). AI had sensitivity and specificity for identification of improper ETT position of 72.5% and 92.0% (sample A), 78.9% and 100.0% (sample B), and 83.7% and 99.1% (sample C). At a threshold y-axis TCD of 2 cm or less, AI had sensitivity and specificity for critical ETT position of 100.0% and 96.7% (sample A), 100.0% and 100.0% (sample B), and 100.0% and 99.2% (sample C). CONCLUSION. AI identified improperly positioned ETTs on chest radiographs obtained after ETT insertion as well as on chest radiographs obtained of patients in the ICU at two institutions. CLINICAL IMPACT. Automated AI identification of improper ETT position on chest radiographs may allow earlier repositioning and thereby reduce complications.N
Toxicity and efficacy of type I interferons on the ocular surface: in vitro, animal, and clinical studies
No full textPurpose: To investigate the toxicity of type I interferons (IFNs) on the ocular surface and assess their efficacy in ocular surface tumors. Methods: We examined the effects of IFN-alpha 2a, IFN-alpha 2b and IFN-beta on corneal epithelial cells and stromal fibroblasts in vitro as well as the impact of IFN-alpha 2a on the ocular surface in mice. Additionally, we analyzed the therapeutic and adverse effects of topically administered IFN-alpha 2a and IFN-alpha 2b in patients with ocular surface tumors. Risk factors contributing to side effects were explored. Results: IFN-alpha 2a, IFN-alpha 2b or IFN-beta reduced cell viability and induced pro-inflammatory cytokines in corneal epithelial cells and stromal fibroblasts. Furthermore, IFNs enhanced the expression of major histocompatibility complex class II and CD40 in corneal epithelial cells. In mice, subconjunctival IFN-alpha 2a injection did not induce corneal epithelial defects or opacity, nor did it reduce aqueous tears or conjunctival goblet cells. In patients, topical IFN-alpha 2a or IFN-alpha 2b administration decreased tumor size and prevented recurrence; however, it was associated with mild side effects, including corneal epitheliopathy and conjunctival hyperemia. These complications were associated with longer IFN use, the presence of underlying ocular surface disease and concurrent use of mitomycin C or anti-glaucoma eye drops. Conclusion: Although type I IFNs cause direct toxicity on corneal cells, they do not induce significant side effects on the healthy ocular surface. Considering its therapeutic and preventive effects, topical type I IFN is safe and effective for treating ocular surface tumors. The potential for ocular side effects should be considered in eyes with identified risk factors.N
Development and Application of an Informal Elementary Science Education Program Emphasizing Participation and Action
No full text본 연구는 참여와 실천의 차원을 위한 창의적 설계 기반 비형식 과학교육 프로그램을 개발하고 그 타당성과효과성에 대하여 알아보는 데 목적이 있다. 프로그램의 개발은 참여와 실천의 지역화와 맥락화에 초점을 맞추어주제를 선정하였고 연구 개발진의 반복적인 논의와 수정을 통해 최종적으로 마션, 화성에서 살아남기, 선정릉이 있어 다행이다, 햇빛 레스토랑 설계하기의 세 가지 프로젝트로 하였다. 프로그램은 총 42차시로 프로젝트수행 이외에도 학습을 수행하면서 알게 된 내용을 자료로 정리하고 발표하는 발표회를 포함하여 개인적인 맥락화가 가능하도록 구성하였다. 개발된 프로그램의 적용은 5∼6학년 학생 15명을 대상으로 하였으며, 효과성을 검증하기 위하여 참여와 실천 차원, 과학긍정경험은 전체 프로그램의 시작과 끝에 사전･사후 검사를 수행하였다. 또한검사 문항 말미에 학생들의 소감이나 느낌을 자유롭게 적을 수 있는 자율 서술식 문항을 추가하여 학생들의 생각을 알아보았다. 효과성에 대한 적용 결과, 참여와 실천 차원의 안전 사회 기여에서 가장 높은 상승 폭을 보였으며그 외의 다른 하위 구인도 상승한 것을 알 수 있었다. 과학긍정경험과 관련해서는 과학 관련 자아개념이 가장높은 상승 폭을 보였고 다른 하위 구인도 참여와 실천 차원과 동일하게 모두 소폭 상승하였다.N
expHRD: an individualized, transcriptome-based prediction model for homologous recombination deficiency assessment in cancer
No full textBackgroundHomologous recombination deficiency (HRD) stands as a clinical indicator for discerning responsive outcomes to platinum-based chemotherapy and poly ADP-ribose polymerase (PARP) inhibitors. One of the conventional approaches to HRD prognostication has generally centered on identifying deleterious mutations within the BRCA1/2 genes, along with quantifying the genomic scars, such as Genomic Instability Score (GIS) estimation with scarHRD. However, the scarHRD method has limitations in scenarios involving tumors bereft of corresponding germline data. Although several RNA-seq-based HRD prediction algorithms have been developed, they mainly support cohort-wise classification, thereby yielding HRD status without furnishing an analogous quantitative metric akin to scarHRD. This study introduces the expHRD method, which operates as a novel transcriptome-based framework tailored to n-of-1-style HRD scoring.ResultsThe prediction model has been established using the elastic net regression method in the Cancer Genome Atlas (TCGA) pan-cancer training set. The bootstrap technique derived the HRD geneset for applying the expHRD calculation. The expHRD demonstrated a notable correlation with scarHRD and superior performance in predicting HRD-high samples. We also performed intra- and extra-cohort evaluations for clinical feasibility in the TCGA-OV and the Genomic Data Commons (GDC) ovarian cancer cohort, respectively. The innovative web service designed for ease of use is poised to extend the realms of HRD prediction across diverse malignancies, with ovarian cancer standing as an emblematic example.ConclusionsOur novel approach leverages the transcriptome data, enabling the prediction of HRD status with remarkable precision. This innovative method addresses the challenges associated with limited available data, opening new avenues for utilizing transcriptomics to inform clinical decisions.Y
Blood pressure control in diabetic kidney disease: a post-hoc analysis of the FANTASTIC trial
No full textBackground The target blood pressure (BP) value is unclear for diabetic kidney disease (DKD). Therefore, we aimed to evaluate the effect of strict BP control or 'on treatment' BP on clinical outcomes in patients with DKD. Methods A post-hoc analysis of the prespecified secondary outcomes of the FimAsartaN proTeinuriA SusTaIned reduCtion in comparison with losartan in diabetic chronic kidney disease (FANTASTIC) trial, a randomized multicenter double-blind phase III trial. Eligible patients were aged >= 19 years with DKD. We assigned 341 participants with DKD to BP control strategy (standard-systolic BP [SBP] < 140 mmHg versus strict-SBP < 130 mmHg). The outcome was the occurrence of cardiovascular events and renal events. Separate analyses were performed to compared the risk of outcome according to achieved average BP levels. Results A total of 341 participants were included in the analysis. Over a median follow-up of 2.8 years, cardiovascular/renal events were observed in 25 (7.3%) participants. Mean (SD) SBPs in the standard and strict BP control group were 140.2 (11.6) and 140.2 (11.9) mmHg, respectively. The strict BP control group did not show significantly reduced risk of cardiovascular/renal events (HR 1.32; 95% CI 0.60-2.92]). In the post-hoc analyses using achieved BP, achieved average SBP of 130-139 mmHg resulted in reduced risk of cardiovascular/renal events (HR 0.15; 95% CI 0.03-0.67) compared to achieved average SBP >= 140 mmHg, whereas further reduction in achieved average SBP < 130 mmHg did not impart additional benefits. Conclusion In patients with DKD, targeting a SBP of less than 130 mmHg, as compared with less than 140 mmHg, did not reduce the rate of a composite of cardiovascular and renal events. Achieved SBP of 130-139 mmHg was associated with a decreased risk for the primary outcome in patients with DKD.N
Anti-corrosive electrolyte design for extending the calendar life of lithium metal batteries
No full textLocalized high-concentration electrolytes (LHCEs) have been proposed for lithium metal batteries (LMBs) to control the solvation structure of the lithium ions and consequently the solid-electrolyte-interphase (SEI) composition. Although this approach extends the cycle life effectively, the fluorinated diluents in LHCEs severely corrode metallic Li via spontaneous chemical decomposition, which shortens the calendar life. Here, we introduce an LHCE containing hexafluoroisopropyl methyl ether (HFME) as the diluent to which n-hexane has been added. n-Hexane serves as a kinetic barrier in the "swollen" SEI to suppress the Li corrosion by HFME. A galvanostatically cycled full-cell that includes n-hexane, with an 8-hour rest period inserted at the end of each charge, has a markedly improved calendar life compared to its hexane-free counterpart (80.8% retention after 160 cycles vs. 6.0% retention after 46 cycles). This study reveals the usefulness of introducing an inert hydrocarbon to enhance both the cycle life and calendar life of LHCE-based LMBs. This study introduces a cutting-edge electrolyte formulation that mitigates Li metal corrosion, significantly extending the calendar life of LMBs. Based on the SEI swelling model, hydrocarbons kinetically block the highly corrosive F-diluent entry.N
Tailoring Interlayer Coupling in Few-Layer MoS<sub>2</sub> with Stacking Configuration
No full textWe manipulated the stacking configuration of a few-layer MoS2 to investigate the impact of interlayer coupling on electrical band engineering. By simultaneously synthesizing two distinct stacking types of MoS2 islands, wedding cake (W) and spiral (S), on the same substrate, we explored layer-dependent electrical properties under identical experimental conditions. We used multiple scanning probe microscopy techniques to map local electronic properties with respect to the number of layers, stacking configurations, and local heterogeneities. First-principles calculations verified the role of distinct interlayer coupling in terms of the interlayer distance. Our findings highlight the critical role of interlayer coupling in applications of transition metal dichalcogenides.N
EzBioCloud: a genome-driven database and platform for microbiome identification and discovery
No full textWith the continued evolution of DNA sequencing technologies, the role of genome sequence data has become more integral in the classification and identification of Bacteria and Archaea. Six years after introducing EzBioCloud, an integrated platform representing the taxonomic hierarchy of Bacteria and Archaea through quality- controlled 16S rRNA gene and genome sequences, we present an updated version, that further refines and expands its capabilities. The current update recognizes the growing need for accurate taxonomic information as defining a species increasingly relies on genome sequence comparisons. We also incorporated an advanced strategy for addressing underrepresented or less studied lineages, bolstering the comprehensiveness and accuracy of our database. Our rigorous quality control protocols remain, where whole- genome assemblies from the NCBI Assembly Database undergo stringent screening to remove low- quality sequence data. These are then passed through our enhanced identification bioinformatics pipeline which initiates a 16S rRNA gene similarity search and then calculates the average nucleotide identity (ANI). For genome sequences lacking a 16S rRNA sequence and without a closely related genomic representative for ANI calculation, we apply a different ANI approach using bacterial core genes for improved taxonomic placement (core gene ANI, cgANI). Because of the increase in genome sequences available in NCBI and our newly introduced cgANI method, EzBioCloud now encompasses a total of 109 835 species, of which 21 964 have validly published names. 47 896 are candidate species identified either through 16S rRNA sequence similarity (phylotypes) or through whole genome ANI (genomospecies), and the remaining 39 975 were positioned in the taxonomic tree by cgANI (species clusters). Our EzBioCloud database is accessible at www.ezbiocloud.net/db.Y