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A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument
(
MDPI
, 2023 , Article)
Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of diabetes, which may lead to foot ulceration and amputation. Among the screening tools for DSPN, the Michigan neuropathy screening instrument ...
Applications of Artificial Intelligence in Philadelphia-Negative Myeloproliferative Neoplasms.
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Philadelphia-negative (Ph-) myeloproliferative neoplasms (MPNs) are a group of hematopoietic malignancies identified by clonal proliferation of blood cell lineages and encompasses polycythemia vera (PV), essential ...
Applications of Machine Learning in Chronic Myeloid Leukemia
(
MDPI
, 2023 , Article)
Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm characterized by dysregulated growth and the proliferation of myeloid cells in the bone marrow caused by the BCR-ABL1 fusion gene. Clinically, CML demonstrates ...
Blood Proteomics Analysis Reveals Potential Biomarkers and Convergent Dysregulated Pathways in Autism Spectrum Disorder: A Pilot Study
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Autism spectrum disorder (ASD) is an umbrella term that encompasses several disabling neurodevelopmental conditions. These conditions are characterized by impaired manifestation in social and communication skills with ...
Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
(
John Wiley and Sons Inc
, 2023 , Article)
Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are ...
ChatGPT-A double-edged sword for healthcare education? Implications for assessments of dental students
(
Wiley
, 2023 , Article)
Introduction: Open-source generative artificial intelligence (AI) applications are fast-transforming access to information and allow students to prepare assignments and offer quite accurate responses to a wide range of ...
Efficient Pandemic Infection Detection Using Wearable Sensors and Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
More than three years into the coronavirus disease 2019 (COVID-19) pandemic, it can be noted that the measures put in place for societies to manage the spread of this disease could have been better. For example, contact ...
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
(
MDPI
, 2023 , Article Review)
The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both ...
Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Within the paradigm of smart cities, smart devices can be considered as a tool to enhance safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge computing, and artificial intelligence are ...
Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Myelodysplastic syndrome (MDS) is composed of diverse hematological malignancies caused by dysfunctional stem cells, leading to abnormal hematopoiesis and cytopenia. Approximately 30% of MDS cases progress to acute myeloid ...