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A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques.

Publication Type: Academic Journal

Source(s): Progress in biophysics and molecular biology [Prog Biophys Mol Biol] 2023 Oct; Vol. 183, pp. 1-16. Date of Electronic Publication: 2023 Jul 25.

Abstract: The risk of discovering an intracranial aneurysm during the initial screening and follow-up screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these mass effects, unruptured aneurysms frequently generate symptoms, howev...

Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician.

Publication Type: Academic Journal

Source(s): The Journal of infection [J Infect] 2023 Oct; Vol. 87 (4), pp. 287-294. Date of Electronic Publication: 2023 Jul 17.

Abstract: Background: Artificial intelligence (AI), machine learning and deep learning (including generative AI) are increasingly being investigated in the context of research and management of human infection.Objectives: We summarise recent and potential future...

A survey on advanced machine learning and deep learning techniques assisting in renewable energy generation.

Publication Type: Academic Journal

Source(s): Environmental science and pollution research international [Environ Sci Pollut Res Int] 2023 Sep; Vol. 30 (41), pp. 93407-93421. Date of Electronic Publication: 2023 Aug 08.

Authors:

Abstract: The sustainability of the earth depends on renewable energy. Forecasting the output of renewable energy has a big impact on how we operate and manage our power networks. Accurate forecasting of renewable energy generation is crucial to ensuring grid de...

Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies.

Publication Type: Academic Journal

Source(s): Journal of cancer research and clinical oncology [J Cancer Res Clin Oncol] 2023 Sep; Vol. 149 (12), pp. 10473-10491. Date of Electronic Publication: 2023 Jun 06.

Abstract: Background: Breast cancer is a major public health concern, and early diagnosis and classification are critical for effective treatment. Machine learning and deep learning techniques have shown great promise in the classification and diagnosis of breas...

Combination of deep learning and ensemble machine learning using intraoperative video images strongly predicts recovery of urinary continence after robot-assisted radical prostatectomy.

Publication Type: Academic Journal

Source(s): Cancer reports (Hoboken, N.J.) [Cancer Rep (Hoboken)] 2023 Sep; Vol. 6 (9), pp. e1861. Date of Electronic Publication: 2023 Jul 14.

Abstract: Background: We recently reported the importance of deep learning (DL) of pelvic magnetic resonance imaging in predicting the degree of urinary incontinence (UI) following robot-assisted radical prostatectomy (RARP). However, our results were limited be...

FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading.

Publication Type: Academic Journal

Source(s): Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2023 Sep; Vol. 239, pp. 107522. Date of Electronic Publication: 2023 May 26.

Abstract: Objective: Ophthalmological pathologies such as glaucoma, diabetic retinopathy and age-related macular degeneration are major causes of blindness and vision impairment. There is a need for novel decision support tools that can simplify and speed up the...

Application of machine learning and deep learning methods for hydrated electron rate constant prediction.

Publication Type: Academic Journal

Source(s): Environmental research [Environ Res] 2023 Aug 15; Vol. 231 (Pt 1), pp. 115996. Date of Electronic Publication: 2023 Apr 25.

Authors:

Abstract: Accurately determining the second-order rate constant with e aq - (k eaq- ) for organic compounds (OCs) is crucial in the e aq values at different pHs from peer-reviewed publications and applied machine learning (ML) algorithm-XGBoost and deep ...

Deep learning for detection of drug hypersensitivity reactions.

Publication Type: Report

Source(s): The Journal of allergy and clinical immunology [J Allergy Clin Immunol] 2023 Aug; Vol. 152 (2), pp. 350-352. Date of Electronic Publication: 2023 Mar 16.

HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.

Publication Type: Academic Journal

Source(s): Briefings in bioinformatics [Brief Bioinform] 2023 Sep 20; Vol. 24 (5).

Authors:

Abstract: Accurate prediction of molecular properties is an important topic in drug discovery. Recent works have developed various representation schemes for molecular structures to capture different chemical information in molecules. The atom and motif can be v...

Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review.

Publication Type: Academic Journal

Source(s): Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 2023 Sep; Vol. 108, pp. 102269. Date of Electronic Publication: 2023 Jul 14.

Abstract: Optical Coherence Tomography (OCT) is an emerging technology that provides three-dimensional images of the microanatomy of biological tissue in-vivo and at micrometer-scale resolution. OCT imaging has been widely used to diagnose and manage various med...

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