Chih-Hung Wang’s research while affiliated with National Taiwan University and other places

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Publications (419)


Association between post-arrest 12-lead electrocardiographic features and neurologically intact survival for patients of in-hospital cardiac arrest
  • Article

April 2025

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7 Reads

Internal and Emergency Medicine

Chih-Hung Wang

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Cheng-Yi Wu

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Twelve-lead electrocardiogram (ECG) may provide prognostic information for in-hospital cardiac arrest (IHCA). This study aimed to identify post-arrest ECG features and their temporal changes associated with IHCA outcomes. This single-center retrospective study included patients experiencing IHCA between 2005 and 2022. Post-arrest ECGs were obtained within 48 h after an IHCA, admission ECGs upon hospital admission, and pre-arrest ECGs within 72 h before an IHCA. Multivariable logistic regression analyses were conducted to identify ECG features associated with neurologically intact survival. A total of 708 patients were included, with 131 (18.5%) achieving neurologically intact survival. The median age was 70.4 years (interquartile range: 59.2–82.6), and 362 (62.7%) patients were male. Four post-arrest ECG features were associated with survival: sinus rhythm (odds ratio [OR]: 1.81, 95% confidence interval [CI]: 1.11–2.93), QRS duration between 80 and 120 ms (OR: 1.91, 95% CI 1.19–3.08), low QRS voltage (OR: 0.50, 95% CI 0.25–0.99), and prolonged QTc (OR: 1.89, 95% CI 1.08–3.28). Comparing with admission ECGs, new-onset right bundle branch block (OR: 0.39, 95% CI 0.16–0.95) and increases in the number of leads with ST depression (OR: 0.85, 95% CI 0.77–0.94) on post-arrest ECGs were inversely associated with survival. Compared with pre-arrest ECGs, increases in the number of leads with ST depression (OR: 0.91, 95% CI 0.88–0.96) on post-arrest ECGs were also inversely associated with survival. Post-arrest ECGs may serve as a valuable prognostic tool for IHCA. Further exploration is warranted to determine whether incorporating these ECG features can enhance the performance of prediction models for IHCA outcomes.


Canal wall and ossicle chain reconstruction with tragal cartilage/perichondrium composite grafts in endoscopic resection of middle ear and antrum cholesteatomas

March 2025

Journal of the Chinese Medical Association

Background Compared to the microscopic approach (MA), the endoscopic approach (EA) is more challenging for the removal of cholesteatomas and reconstruction of the ossicle chain and canal wall. We presented a surgical technique for rebuilding the canal wall and ossicle chain with tragal cartilage/perichondrium composite grafts in the resection of cholesteatomas under EA. Methods This retrospective study consisted of 24 cases undergoing EA (EA group) for cholesteatomas destroying the ossicles and 28 cases undergoing MA (MA group). The aim of this study was to analyze the outcome of ossiculoplasty, the stability of the reconstructed canal wall and the recurrence rate of cholesteatoma in EA group. The postoperative outcomes between TEA and MA groups were compared. Results In EA subgroup with an intact stapes superstructure, the pre- and postoperative air conduction (AC) thresholds and pre- and postoperative air-bone gap (ABG) were 42 ± 13.0, 37 ± 13.7, 23 ± 13.9 and 18 ± 14.8 dB, respectively. AC thresholds and ABG were significantly improved after the operation ( p =0.003 and p =0.004, respectively). Gain in AC thresholds was 7.2 ± 11.1 dB in EA group and 1.6 ± 14.5 dB in MA group. There was no significant difference in the gain between two groups ( p = 0.615). In EA group, two cases suffered cholesteatoma recurrence, with a recurrence rate of 8.3%. The recurrence rate was 10.7% in MA group. There was no significant difference in the recurrence rate between two groups ( p = 0.772). Conclusion Our endoscopic method had a comparable result to MA in the treatment of cholesteatomas involving the ossicle. The technique has the advantage of leaving both a smaller surgical wound and an invisible scar. The composite graft can be easily modified for reconstruction of canal wall defects and ossiculoplasty. Patients with an intact stapes superstructure had better hearing outcomes.


Pre-arrest atrial fibrillation and neurological recovery after cardiac arrest among hospitalized patients: A retrospective cohort study

December 2024

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11 Reads

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1 Citation

European Journal of Clinical Investigation

Background: New-onset atrial fibrillation (AF) is associated with an increased risk of stroke in hospitalized patients with severe sepsis. Post-cardiac arrest patients experience conditions similar to sepsis. This study investigated whether pre-arrest AF is associated with poor neurological recovery following in-hospital cardiac arrest (IHCA). Methods: This single-centre retrospective study included patients experiencing IHCA between 2005 and 2020. Pre-arrest electrocardiograms (ECGs) were reviewed, including twelve-lead ECGs and ECG strips. New-onset AF was defined as AF absent on electronic health records (EHRs, including admission diagnosis, past medical history and hospitalization notes) but present on pre-arrest ECG. Without considering EHRs, AF-presence was defined as AF present on pre-arrest ECG. Results: A total of 2466 patients were included, including 93 (3.8%) with new-onset AF and 131 (5.3%) with evidence of AF on pre-arrest ECG. The median age was 67.6 (interquartile range [IQR]: 22.3) years and the median CHA₂DS₂-VASc score was 3.0 (IQR: 3.0). A total of 405 (16.4%) patients survived to hospital discharge, with 228 (9.2%) patients achieving favourable neurological recovery. Multivariable logistic regression analysis indicated that both new-onset AF (odds ratio [OR]: .34, 95% confidence interval [CI]: .12-.94, p-value: .04) and AF-presence (OR: .35, 95% CI: .15-.85, p-value: .02) were inversely associated with favourable neurological recovery in the primary and sensitivity analyses, respectively. Conclusions: Pre-arrest AF is a significant risk factor for poor neurological recovery following IHCA. Further research is needed to understand the underlying mechanisms, which could inform the development of strategies to improve outcomes in this patient subgroup.


The Characteristics and Prognosis of Acute Hearing Loss in Military Personnel

December 2024

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13 Reads

Introduction: The military population is one of the high-risk groups for acute hearing loss. This retrospective study aims to examine acute acoustic trauma (AAT) and idiopathic sudden sensorineural hearing loss (ISSNHL) among military personnel. Materials and Methods: A total of 111 cases of acute hearing loss from a tertiary hospital between 2009 and 2021 were divided into AAT (53 cases) and ISSNHL (58 cases) groups. The time interval between trauma and treatment initiation, accompanying symptoms, and hearing thresholds before and after treatment were examined for all cases. Results: Two-thirds of the AAT group participants experienced damage to the left ear, and all individuals in this group presented with tinnitus at the time of trauma, but vertigo was less common in the AAT group than in the ISSNHL group. Hearing improvement after treatment was significant in both groups. An intergroup comparison of post-treatment hearing recovery revealed that prognosis was primarily determined by the initial severity of hearing loss rather than the underlying condition of AAT or ISSNHL. Conclusions: This finding emphasizes the importance of prompt and aggressive treatment in severe cases and the need for tailored strategies within military healthcare systems to improve hearing outcomes.


Relocating the imaginary nation through nature: The performance politics of Arbor Day in postwar Taiwan

December 2024

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5 Reads

Environment and Planning E Nature and Space

This article examines the transformation of Arbor Day in postwar Taiwan, focusing on how it has been used to relocate the imaginary nation—shifting from associations with mainland China toward alignment with the island-based regime in Taiwan. Using the framework of performance politics, we analyze how Arbor Day serves as a contested arena where various social actors—ranging from the central government and local authorities to civil society—compete to reassemble the mise-en-scène of nature. We argue that performative acts from these different sectors collectively distance Arbor Day from its early reliance on the mainland-oriented Founding Father narrative, redirecting attention toward localized concerns such as urban greening, environmental conservation, and urban governance. In this process, a “relocated” nation gradually emerges as the imagined setting of Arbor Day, reflecting Taiwan's shifting national identity. While Arbor Day continues to express nationalism, what changes over time is the scale of the nation these performances seek to address at different historical moments and for various purposes.




Figure 4. Cisplatin-induced increases in ROS levels in HEI-OC1 cells were reduced by NGR1 treatment. (A) ROS generation was measured using the fluorescent probe DCFDA. The results are presented as the means ± SEMs. n = 12 for each group. *** p < 0.005. (B) Representative image of immunostaining for 4-HNE (green) in HEI-OC1 cells. Blue indicates Hochest-stained nuclei. n = 4 for each group. Scale bar: 50 µm.
Notoginsenoside R1 Attenuates Cisplatin-Induced Ototoxicity by Inducing Heme Oxygenase-1 Expression and Suppressing Oxidative Stress
  • Article
  • Full-text available

October 2024

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9 Reads

Cisplatin-induced ototoxicity occurs in approximately half of patients treated with cisplatin, and pediatric patients are more likely to be affected than adults. The oxidative stress elicited by cisplatin is a key contributor to the pathogenesis of ototoxicity. Notoginsenoside R1 (NGR1), the main bioactive compound of Panax notoginseng saponins, has antioxidant and antiapoptotic effects. This study investigated the ability of NGR1 to protect against cisplatin-induced damage in auditory HEI-OC1 cells and neonatal murine cochlear explants. The viability of HEI-OC1 cells treated with NGR1 and cisplatin was greater than that of cells treated with cisplatin alone. The results of Western blots and immunostaining for cleaved caspase-3 revealed that the level of cleaved caspase-3 in the cells treated with cisplatin was repressed by NGR1. NGR1 attenuated cisplatin-induced cytotoxicity in HEI-OC1 cells. Intracellular reactive oxygen species (ROS) were detected with a DCFDA assay and immunostaining for 4-HNE. The result revealed that its expression was induced by cisplatin and was significantly reduced by NGR1. Moreover, NGR1 can promote heme oxygenase-1 (HO-1) expression at both the mRNA and protein levels. ZNPPIX, an HO-1 inhibitor, was administered to cisplatin-treated cells to investigate the role of HO-1 in the protective effect of NGR1. The suppression of HO-1 activity by ZNPPIX markedly abolished the protective effect of NGR1 on cisplatin-treated cells. Therefore, NGR1 protects cells from cisplatin-induced damage by activating HO-1 and its antioxidative activity. In cochlear explants, NGR1 protects cochlear hair cells and attenuates cisplatin-induced ototoxicity by inhibiting ROS generation. In the group treated with cisplatin alone, prominent loss of outer hair cells and severe damage to the structure of the stereociliary bundles of inner and outer hair cells were observed. Compared with the group treated with cisplatin alone, less loss of outer hair cells (p = 0.009) and better preservation of the stereociliary bundles of hair cells were observed in the group treated with cisplatin and NGR1. In conclusion, these findings indicate that NGR1 can protect against cisplatin-induced ototoxicity by inducing HO-1 expression and suppressing oxidative stress.

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Figure 1. Map of medical centers, their satellite hospitals, and sample sizes.
Figure 2. Timeline and milestone of TPMI.
Figure 3. Cohort characteristics. (A) Sex-specific age distribution. (B) Top 20 most prevalent ICD-10 codes. This figure displays the proportion of the most frequently observed ICD-10 codes within the study cohort. The list includes codes such as E78 (Disorders of lipoprotein metabolism and other lipidemias), I10 (Essential hypertension), E11 (Type 2 diabetes mellitus), K21 (Gastro-esophageal reflux disease), J30 (Vasomotor and allergic rhinitis), G47 (Sleep disorders), K05 (Gingivitis and periodontal diseases), N39 (Other disorders of the urinary system), M47 (Spondylosis), K59 (Other functional intestinal disorders), M79 (Other and unspecified soft tissue disorders), R10 (Abdominal and pelvic pain), H10 (Conjunctivitis), I25 (Chronic ischemic heart disease), N40 (Enlarged prostate), L30 (Other and unspecified dermatitis), I11 (Hypertensive heart disease), H04 (Disorders of the lacrimal system), N18 (Chronic kidney disease), and R07 (Pain in throat and chest). (C) Onset age of the top 20 most prevalent diseases. This figure displays the sex-specific onset age of the disease. For each disease, the onset ages of males (in blue) and females (in pink) are presented in a box-whisker plot. The diseases are arranged based on the median onset age. (D) Top 20 most prevalent lab tests. This figure provides a comprehensive overview of data availability across 20 laboratory tests, including CREATININE_B (Creatinine of blood), WBC (White Blood Cell), SGPT (S-GPT/ALT), HB (Hemoglobin), PLATELET (Platelet Count), HCT (Hematocrite), RBC (Red Blood Cell), EGFR (Estimated Glomerular Filtration Rate), SGOT (S-GOT/AST), TG (Triglyceride), CHOLESTEROL_T (Total Cholesterol), BUN (Blood Urea Nitrogen), GLUCOSE_AC (Glucose(AC)), LDL_C (Low-Density Lipoprotein Cholesterol), HDL_C (High-Density Lipoprotein Cholesterol), URIC_ACID_B (Uric Acid (Blood)), HBA1C (Hemoglobin A1c), BILIRUBIN_T (Bilirubin (Total Value)), ALBUMIN (Albumin Value), and TSH (Thyroid-Stimulating Hormone (EIA/LIA) Value. The three panels from the left-hand side to the righthand side indicate the sex-specific distribution of the number of records for each individual, the proportions of samples with available lab test data, and the distribution of the average follow-up years of the lab tests. Note that the number of records is winsorized, i.e., values exceeding the 95th percentile were replaced by the 95th percentile value. (E) Familial relativeness. The first pie chart displays the proportions of related and unrelated samples. The second pie chart further illustrates the proportions of inferred relatedness, including duplicate (DUP) or monozygotic twin (MZ), parent-offspring (PO), full-sibling (FS), second-degree (2nd), and third-degree (3rd) relativeness.
Figure 4. Population structure. The population structure of the TPMI cohort was assessed against samples from the Taiwan Biobank (TWB), the Simons Genome Diversity Project (SGDP), and the 1000 Genomes Project (1KG) using principal component analysis. The top left subfigure presents a contrast of the TPMI participants born before and after 1950. The top right subfigure presents a contrast between the TPMI and 1KG datasets. The main figure exhibits a comparison of the TPMI cohort with the Taiwan Biobank (TWB) and two Taiwan indigenous tribes included in the Simons Genome Diversity Project (SGDP).
Figure 5. Sample size evaluation and examples for GWAS and QTL mappings. (A) Sample size calculation for a case-control study. The horizontal axis is minor allele frequency (MAF). The vertical axis is the number of cases on a scale of log 10. Curves with different colors reflect different effect sizes. (B) Sample size calculation for quantitative trait locus (QTL) study. The horizontal axis is minor allele frequency (MAF). The vertical axis is the number of participants on a scale of log 10. Curves with different colors reflect different effect sizes (i.e., beta values). (C) Miami plot of the GWAS for Type 2 Diabetes (T2D) and QTL mapping for HbA1c. The red (blue) reference line indicates a significance level of p = 5×10 -8 (p = 1×10 -5 ). SNPs with p < 1×10 -8 were identified, and the names of the genes harboring these significant SNPs are displayed.
The Taiwan Precision Medicine Initiative: A Cohort for Large-Scale Studies

October 2024

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352 Reads

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1 Citation

The Taiwan Precision Medicine Initiative (TPMI), a project initiated by the Academia Sinica in collaboration with 16 major medical centers around Taiwan, has recruited 565,390 participants who consented to provide DNA samples for genetic profiling and grant access to their electronic medical records (EMR) for studies to develop precision medicine. Access to the EMR is both retrospective and prospective, allowing researchers to conduct prospective studies over time. Genetic profiling is done with population-optimized SNP arrays for the Han Chinese populations that enable genetic analyses such as genome-wide association, phenome-wide association, and polygenic risk score studies to evaluate common disease risk and pharmacogenetic response. Furthermore, the TPMI participants agree to be contacted for future research opportunities related to their genetic risks and receive personalized genetic risk profiles with health management recommendations. TPMI has established the TPMI Data Access Platform (TDAP), a central database and analysis platform that both safeguards the security of the data and facilitates academic research. The TPMI is the largest non-European cohort that merges genetic profiles with EMR in the world. With a cohort that can be followed over time, it can be utilized to validate genetic risk prediction models, conduct clinical trials to show the efficacy of risk-based health management, and optimize health policies based on genetic risks. In this report, we describe the TPMI study design, the population and genetic characteristics of the TPMI cohort, and the power it provides to conduct crucial studies in developing precision medicine on a population and personal level. As Han Chinese represent almost 20% of the world's population, the results of TPMI studies will benefit >1.4 billion people around the world and serve as a model for developing population-based precision medicine.


Figure 2. Patient inclusion flowchart. CPR indicates cardiopulmonary resuscitation; EMS, emergency medical services; OHCA, out-of-hospital cardiac arrest; and ROSC, return of spontaneous circulation.
Figure 3. Comparison of ROC curves for each outcome among the 4 clinical scoring systems. Comparisons among the 4 clinical scoring systems for the outcome of (A) favorable neurological outcome at hospital discharge; (B) sustained return of spontaneous circulation; and (C) survival at hospital discharge. AUC indicates area under the receiver operating characteristic curve; P-ROSC, Prehospital Return of Spontaneous Circulation; ROC, receiver operating characteristic; SCARS, Swedish Cardiac Arrest Risk Score; SWAP, Shockable Rhythm-Witness-Age-pH; and UB-ROSC, Utstein-Based Return of Spontaneous Circulation.
External Validation and Comparison of Statistical and Machine Learning-Based Models in Predicting Outcomes Following Out-of-Hospital Cardiac Arrest: A Multicenter Retrospective Analysis

October 2024

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10 Reads

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1 Citation

Journal of the American Heart Association

Background The aim of this study was to validate and compare the performance of statistical (Utstein‐Based Return of Spontaneous Circulation and Shockable Rhythm–Witness–Age–pH) and machine learning–based (Prehospital Return of Spontaneous Circulation and Swedish Cardiac Arrest Risk Score) models in predicting the outcomes following out‐of‐hospital cardiac arrest and to assess the impact of the COVID‐19 pandemic on the models' performance. Methods and Results This retrospective analysis included adult patients with out‐of‐hospital cardiac arrest treated at 3 academic hospitals between 2015 and 2023. The primary outcome was neurological outcomes at hospital discharge. Patients were divided into pre‐ (2015–2019) and post‐2020 (2020–2023) subgroups to examine the effect of the COVID‐19 pandemic on out‐of‐hospital cardiac arrest outcome prediction. The models' performance was evaluated using the area under the receiver operating characteristic curve and compared by the DeLong test. The analysis included 2161 patients, 1241 (57.4%) of whom were resuscitated after 2020. The cohort had a median age of 69.2 years, and 1399 patients (64.7%) were men. Overall, 69 patients (3.2%) had neurologically intact survival. The area under the receiver operating characteristic curves for predicting neurological outcomes were 0.85 (95% CI, 0.83–0.87) for the Utstein‐Based Return of Spontaneous Circulation score, 0.82 (95% CI, 0.81–0.84) for the Shockable Rhythm–Witness–Age–pH score, 0.79 (95% CI, 0.78–0.81) for the Prehospital Return of Spontaneous Circulation score, and 0.79 (95% CI, 0.77–0.81) for the Swedish Cardiac Arrest Risk Score model. The Utstein‐Based Return of Spontaneous Circulation score significantly outperformed both the Prehospital Return of Spontaneous Circulation score ( P <0.001) and the Swedish Cardiac Arrest Risk Score model ( P =0.007). Subgroup analysis indicated no significant difference in predictive performance for patients resuscitated before versus after 2020. Conclusions In this external validation, both statistical and machine learning–based models demonstrated excellent and fair performance, respectively, in predicting neurological outcomes despite different model architectures. The predictive performance of all evaluated clinical scoring systems was not significantly influenced by the COVID‐19 pandemic.


Citations (59)


... The first array, TPM1, also known as TWBv2, has 752,921 SNPs and was used for early participants (before 2022). The second array, TPM2, has 755,191 SNPs and was used for subsequent participants 29 . ...

Reference:

Polygenic height prediction for the Han Chinese in Taiwan
The Taiwan Precision Medicine Initiative: A Cohort for Large-Scale Studies

... Some studies used two independent open-access databases to train and externally validate neurological prognostic models [48,96]. Few studies used unique cohorts for external validation on the basis of previous studies [97]. Therefore, more multicenter, prospective studies are needed to validate model generalizability. ...

External Validation and Comparison of Statistical and Machine Learning-Based Models in Predicting Outcomes Following Out-of-Hospital Cardiac Arrest: A Multicenter Retrospective Analysis

Journal of the American Heart Association

... Guzzetti & al. (15) have compiled a database of floods and landslides that occurred in Italy between AD 1279 and 2002 and caused deaths, missing persons, injuries, and homelessness. Analysis of the database indicates that more than 50,593 people died, went missing, or were injured in 2580 flood and landslide events. ...

Optimal methods of vitamin D supplementation to prevent acute respiratory infections: a systematic review, dose–response and pairwise meta-analysis of randomized controlled trials

Nutrition Journal

... These limitations hinder the widespread and standardized adoption of CMR in PH diagnosis [12]. Recent advancements in artificial intelligence (AI) have demonstrated its potential in medical diagnostics, including the prediction of PH and left atrial (LA) pressure using electrocardiograms (ECG) and chest X-rays [13][14][15][16]. Several studies have reported the effective use of machine learning (ML) in assessing diastolic function [17][18][19]. ...

A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension
  • Citing Article
  • August 2024

... Advancements in artificial intelligence (AI) have introduced promising solutions for detecting malpositioned NG tubes. Studies showed the efficacy of deep learning tools in identifying misplaced tubes on portable supine chest X-rays, offering a potential adjunct to traditional radiographic evaluation [6,[7][8][9][10][11]. Beyond radiographic methods, alternative technologies such as electromagnetic guidance have been explored to improve placement accuracy. ...

Deep Learning-Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study

... A total of 75 neonatal mice were used in this study. The inner ears of neonatal mice were harvested at postnatal day 3 according to the procedures described in our previous study [42]. After euthanasia, the cochlea was carefully removed from the temporal bone. ...

Ultrasound-Mediated Lysozyme Microbubbles Targeting NOX4 Knockdown Alleviate Cisplatin-Exposed Cochlear Hair Cell Ototoxicity

... The inherent advantages of ML models in analyzing high-dimensional data and nonlinear relationships were not fully leveraged due to the reliance on structured data. Incorporating unstructured data, such as intra-arrest changes in end-tidal CO 2 levels 27 and heart rhythms., 28 could potentially improve the performance and broaden the applicability of ML algorithms beyond that of statistical models. To our knowledge, this study represents the first attempt to validate these scoring systems with different model architectures in an independent data set. ...

Prognostic Impact of Heart Rhythm Shockability Trajectory in Out-of-Hospital Cardiac Arrest: A Multicenter Retrospective Study
  • Citing Article
  • May 2024

Circulation Cardiovascular Quality and Outcomes

... Studies suggest that increased expression of ICAM1 could exacerbate cochlear inflammation by regulating the infiltration of immune cells [62]. Inflammatory responses are a major contributor to hearing loss, especially in cases of acute noise-induced damage and inflammation-related hearing loss [63,64]. ICAM1 has been shown to play a crucial role in acute noise-induced hearing loss and other cochlear inflammatory reactions. ...

C-Phycocyanin Attenuates Noise-Induced Cochlear Synaptopathy via the Inhibition of Oxidative Stress and Intercellular Adhesion Molecule-1 in the Cochlea

... Deep Learning methods applied for Electrocardiography (ECG) analyses have demonstrated their potential as practice-changing diagnostic tools, providing critical insights to heart related diseases [1][2][3] . While the push for newer technologies and improved performance metrics is essential, ensuring these advancements are accessible for general use is equally important. ...

AI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial

Nature Medicine

... The study has confirmed that the C4.5 DT model based on KMC shows greater simplicity in feature selection, and has a lower false positive rate (0.029), making it more advantageous in the information security risk assessment of SC. This result is consistent with the excellent performance of the KMC combined with DT algorithm in various application scenarios reported in the literature [30,31], further confirming the potential of the C4.5 DT model based on KMC in practical applications. Therefore, the C4.5 DT model based on KMC has found a good balance between performance and interpretability, and is an ideal choice for the information security risk assessment of SC. ...

Computer-Aided Diagnosis of Duchenne Muscular Dystrophy Based on Texture Pattern Recognition on Ultrasound Images Using Unsupervised Clustering Algorithms and Deep Learning
  • Citing Article
  • April 2024

Ultrasound in Medicine & Biology