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Risk of Ischemic Heart Disease in Patients With Postpancreatectomy Diabetes and Pancreatic Cancer: A Population‐Based Study

Daegwang Yoo, Minsun Kang, Jaehun Jung • Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (2023)

Background Postpancreatectomy diabetes can be caused by resection of functioning pancreatic tissue and is associated with postoperative pancreatic islet cell mass loss and subsequent endocrine dysfunction. Diabetes is a well‐known risk fact...

DOAJ Open Access (DOAJ) DOI: 10.1161/JAHA.123.031321

Examination of medical students’ opinions on multimedia learning materials according to social cues: focusing on sound principles

Wonseok Chang, Yura Kim, Hye Jin Park • Korean Journal of Medical Education (2024)

Purpose Although interest in various forms of learning media is increasing due to the coronavirus disease 2019 (COVID-19) pandemic there is relatively little research on influencing student motivation by intervening in cognitive processing....

DOAJ Open Access (DOAJ) DOI: 10.3946/kjme.2024.288

Artificial Intelligence in Pathology

Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo, Sang-Hun Lee et al. • Journal of Pathology and Translational Medicine (2018)

As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular,deep learning-based pattern recognition methods can advance the field of pathology byincorporating clinical, radiologic, and genomic ...

OPENALEX cc-by-nc DOI: https://doi.org/10.4132/jptm.2018.12.16 PMC: 6344799

Artificial Intelligence and Deep Learning in Ophthalmology

Daniel Shu Wei Ting, Louis Robert Pasquale, Lily Peng, John Peter Campbell et al. • Springer eBooks (2018)

Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only beginning to i...

OPENALEX Open Access DOI: https://doi.org/10.1007/978-3-030-64573-1_200 PMC: 6362807

Large language model bias auditing for periodontal diagnosis using an ambiguity-probe methodology: a pilot study

Teerachate Nantakeeratipat • Frontiers in Digital Health (2026)

BackgroundLarge Language Models (LLMs) in healthcare holds immense promise yet carries the risk of perpetuating social biases. While artificial intelligence (AI) fairness is a growing concern, a gap exists in understanding how these models ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1687820

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

Sameer Qazi, Bilal A. Khawaja, Qazi Umar Farooq • IEEE Access (2022)

Smart agriculture techniques have recently seen widespread interest by farmers. This is driven by several factors, which include the widespread availability of economically-priced, low-powered Internet of Things (IoT) based wireless sensors...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3152544

Sex-based differences in characteristics, management, and outcomes in heart failure with reduced ejection fraction

Christian Basile, Stefan D. Anker, Gianluigi Savarese • Global Cardiology (2025)

Heart failure with reduced ejection fraction (HFrEF) exhibits significant sex-based differences in clinical presentation, management, and outcomes. This study aimed to evaluate these differences using data from the Swedish Heart Failure Reg...

DOAJ Open Access (DOAJ) DOI: 10.4081/cardio.2025.73

Detection and Classification of Abnormities of First Heart Sound Using Empirical Wavelet Transform

Haixia Li, Yongfeng Ren, Guojun Zhang, Renxin Wang et al. • IEEE Access (2019)

It is expected that an automatic detection and classification algorithm for the abnormities of first heart sound (S1) can realize computer artificial intelligence diagnosis of some relative cardiovascular disease. Few studies have focused o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2943705

Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period

Hansong Zhu, Si Chen, Weixia Qin, Joldosh Aynur et al. • BMC Infectious Diseases (2024)

Abstract Objective At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, th...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12879-024-09750-x

Artificial intelligence and echocardiography

Maryam Alsharqi, William J. Woodward, J. A. Mumith, D. C. Markham et al. • Echo Research and Practice (2018)

Echocardiography plays a crucial role in the diagnosis and management of cardiovascular disease. However, interpretation remains largely reliant on the subjective expertise of the operator. As a result inter-operator variability and experie...

OPENALEX cc-by DOI: https://doi.org/10.1530/erp-18-0056 PMC: 6280250

Integrative Approaches to Soybean Resilience, Productivity, and Utility: A Review of Genomics, Computational Modeling, and Economic Viability

Yuhong Gai, Shuhao Liu, Zhidan Zhang, Jian Wei et al. • Plants (2025)

Soybean is a vital crop globally and a key source of food, feed, and biofuel. With advancements in high-throughput technologies, soybeans have become a key target for genetic improvement. This comprehensive review explores advances in multi...

DOAJ Open Access (DOAJ) DOI: 10.3390/plants14050671

Biomaterial Engineering for Spatiotemporal Regulation of Exosome Functions: From Design Principles to Key Applications in Regenerative Medicine

Shan Long, Bo Wang, Shaodong Tian, Honglan Tang et al. • Pharmaceuticals (2026)

As natural nanoscale intercellular messengers, exosomes exhibit considerable potential in modulating inflammation, angiogenesis, immunoregulation, and tissue remodeling, making them attractive candidates for regenerative medicine. However, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ph19050672