Automated Aneurysm Boundary Detection and Volume Estimation Using Deep Learning by Alireza Bagheri Rajeoni, Breanna Pederson, Susan M. Lessner, Homayoun Valafar

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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…This similarity means it inherits PSVM's benefits, particularly in addressing progressive CVD scenarios with rapid incremental updates. …”
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Detection and consequences of atmospheric deserts: insights from a case study by F. Fix, G. Mayr, A. Zeileis, I. Stucke, R. Stauffer

“…</p> <p>We illustrate this new concept of ADs and the application of the detection method with a case study in Europe from mid-June 2022. …”
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Knee Osteoarthritis Detection and Classification Using Autoencoders and Extreme Learning Machines by Jarrar Amjad, Muhammad Zaheer Sajid, Ammar Amjad, Muhammad Fareed Hamid, Ayman Youssef, Muhammad Irfan Sharif

“…Background/Objectives: Knee osteoarthritis (KOA) is a prevalent disorder affecting both older adults and younger individuals, leading to compromised joint function and mobility. Early and accurate detection is critical for effective intervention, as treatment options become increasingly limited as the disease progresses. …”
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Development of an accurate breast cancer detection classifier based on platelet RNA by Wenlong Xie, Jie Hu, Zehang Zhao, Huixin Lu, Yu Han, Boan Li, Zhong Ouyang

“…Abstract Platelets possess cancer-induced reprogramming properties, thereby contributing to RNA profile alterations and further cancer progression, while the former is considered a promising biosource for cancer detection. …”
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Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance by Fauzi Adi Rafrastara, Wildanil Ghozi, Ramadhan Rakhmat Sani, Lekso Budi Handoko, Abdussalam Abdussalam, Elkaf Rahmawan Pramudya, Faizal M. Abdollah

“…As malware has progressed from its simpler, monomorphic variants to more sophisticated forms like oligomorphic, polymorphic, and metamorphic, a machine learning-based detection system is now required, surpassing the limitations of traditional signature-based methods. …”
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Detecting and understanding potential stigma among medical cannabis users in Germany by Velimir Borojevic, Felicitas Söhner

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Exploring LLM Embedding Potential for Dementia Detection Using Audio Transcripts by Brandon Alejandro Llaca-Sánchez, Luis Roberto García-Noguez, Marco Antonio Aceves-Fernández, Andras Takacs, Saúl Tovar-Arriaga

“…Dementia is a neurodegenerative disorder characterized by progressive cognitive impairment that significantly affects daily living. …”
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Unveiling gastric precancerous stages: metabolomic insights for early detection and intervention by Xiaoyue Zhang, Ziming Lin, Boyan Xu, Chenyu Ma, Bowen Jiang, Yan Geng, Yingyue Sheng, Yuanyuan Dai, Yuzheng Xue, Yilin Ren

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Detection of cardiac amyloidosis using machine learning on routine echocardiographic measurements by I-Min Chiu, David Ouyang, James Zou, Rachel Si-Wen Chang, Phillip Tacon, Michael Abiragi, Louie Cao, Gloria Hong, Jonathan Le, Chathuri Daluwatte, Piero Ricchiuto

“…Background Cardiac amyloidosis (CA) is an underdiagnosed, progressive and lethal disease. Machine learning applied to common measurements derived from routine echocardiogram studies can inform suspicion of CA.Objectives Our objectives were to test a random forest (RF) model in detecting CA.Methods We used 3603 echocardiogram studies from 636 patients at Cedars-Sinai Medical Center to train an RF model to predict CA from echocardiographic parameters. 231 patients with CA were compared with 405 control patients with negative pyrophosphate scans or clinical diagnosis of hypertrophic cardiomyopathy. 19 common echocardiographic measurements from echocardiogram reports were used as input into the RF model. …”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…The study recommends integrating a machine learning model into healthcare systems to detect STIs early, improve medical care, reduce disease progression, and remove stigmatisation barriers. …”
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Practical study for comparing edge detection filters in digital image processing by Yahya Ismail Ibrahim, Israa Mohammed Alhamdani

“…            Edge detection is a fundamental and important tool in image processing and computer vision. …”
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Systems epigenetic approach towards non-invasive breast cancer detection by Chiara M. S. Herzog, Bente Theeuwes, Allison Jones, Iona Evans, Line Bjørge, Michal Zikan, David Cibula, Nadia Harbeck, Nicoletta Colombo, Nora Pashayan, Martin Widschwendter

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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

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Soybeans tempeh image dataset for tempeh maturity detectionGitHub by Riccosan, Soni Yora, Nur Azmi Karim, Ezrela Fidelyn Surya Wibisana

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Detection of viral contamination in cell lines using ViralCellDetector by Rama Shankar, Shreya Paithankar, Suchir Gupta, Bin Chen, Bin Chen, Bin Chen

“…Background and aimsCell lines are widely used in biomedical research to investigate various biological processes, including gene expression, cancer progression, and drug responses. However, cross-contamination with bacteria, mycoplasma, and viruses remains a persistent challenge. …”
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Early detection of Parkinson's disease: Retinal functional impairments as potential biomarkers by Victoria Soto Linan, Véronique Rioux, Modesto Peralta, III, Nicolas Dupré, Marc Hébert, Martin Lévesque

“…Conclusions: Findings from both mice and human cohorts indicate that retinal functional impairments can be detected early in the progression of Parkinson's disease, particularly among females. …”
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Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia by Yufei Wu, Yufei Wu, Jiahui Jiang, Xiaoyu Deng, Xixi Zhang, Jinger Lu, Zian Xu, Yitian Zhao, Zai-Long Chi, Zai-Long Chi, Qinkang Lu, Qinkang Lu

“…The AI-driven analysis revealed that decreased CVI and CT were significantly associated with age and spherical equivalent (SE), highlighting the utility of automated algorithms in identifying early microvascular impairments.ConclusionDiabetic patients with high myopia exhibited significantly lower CVI compared to those with diabetic retinopathy, indicating that CVI monitoring could facilitate risk stratification of diabetic retinopathy progression. The integration of SS-OCTA with artificial intelligence-enhanced segmentation and vascular analysis provides a refined method for early detection of retinal and choroidal microvascular impairments in diabetic populations.…”
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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…Remote sensing data offer the potential to detect the presence of disease, but formal analysis is needed to compare inferred disease data with observed disease data. …”
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Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease by Navita, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Kashif Saleem, Ehab Seif Ghith

“…Prevention and early diagnosis are the only ways to control its progression and onset. Thus, there is an urgent need for a detection model comprising intelligent technologies, including Machine Learning (ML) and deep learning, to predict the future state of an individual suffering from cardiovascular disease by effectively analyzing patient data. …”
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