AIMC Topic: Disease Management
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Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.
BMC cancer
Aug 6, 2021
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Image Processing, Computer-Assisted
Treatment Outcome
Squamous Cell Carcinoma of Head and Neck
Positron Emission Tomography Computed Tomography
Male
Middle Aged
Deep Learning
ROC Curve
Disease Management
Fluorodeoxyglucose F18
Kaplan-Meier Estimate
Oropharyngeal Neoplasms
Neoplasm Staging
Workflow
Combined Modality Therapy
Positron-Emission Tomography
Humans
Prognosis
Clinical Decision-Making
Female
Aged
Aged, 80 and over
Adult
Biomarkers, Tumor
Clinically applicable artificial intelligence system for dental diagnosis with CBCT.
Scientific reports
Jul 22, 2021
In this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinica...
Prediction of venous thromboembolism with machine learning techniques in young-middle-aged inpatients.
Scientific reports
Jun 18, 2021
Accumulating studies appear to suggest that the risk factors for venous thromboembolism (VTE) among young-middle-aged inpatients are different from those among elderly people. Therefore, the current prediction models for VTE are not applicable to you...
Plasma Robot Engineering: The Next Generation of Precision Disease Management.
Annals of biomedical engineering
Jun 3, 2021
Robotics, once combined with cold atmospheric plasma, represent key elements of the next generation of personalized medicine and contribute to the effective yet immediate response to pandemics. Plasma robots can serve as CAP delivery vehicle to assis...
Spectroscopic and deep learning-based approaches to identify and quantify cerebral microhemorrhages.
Scientific reports
May 21, 2021
Cerebral microhemorrhages (CMHs) are associated with cerebrovascular disease, cognitive impairment, and normal aging. One method to study CMHs is to analyze histological sections (5-40 μm) stained with Prussian blue. Currently, users manually and sub...
Machine learning based models for prediction of subtype diagnosis of primary aldosteronism using blood test.
Scientific reports
May 4, 2021
Primary aldosteronism (PA) is associated with an increased risk of cardiometabolic diseases, especially in unilateral subtype. Despite its high prevalence, the case detection rate of PA is limited, partly because of no clinical models available in ge...
Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians.
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
Feb 27, 2021
Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and machine learning (ML) is a subset of AI describing the ability of machines to learn independently and make accurate predictions. The application of AI co...
Bridging the artificial intelligence valley of death in surgical decision-making.
Surgery
Feb 16, 2021
Towards a Precision Medicine Approach Based on Machine Learning for Tailoring Medical Treatment in Alkaptonuria.
International journal of molecular sciences
Jan 26, 2021
ApreciseKUre is a multi-purpose digital platform facilitating data collection, integration and analysis for patients affected by Alkaptonuria (AKU), an ultra-rare autosomal recessive genetic disease. It includes genetic, biochemical, histopathologica...
Outcomes of surgical and/or medical treatment in patients with prolactinomas during long-term follow-up: a retrospective single-centre study.
Hormone molecular biology and clinical investigation
Dec 17, 2020
OBJECTIVES: Prolactinoma is the most common cause of pituitary tumours. Current medical guidelines recommend dopamine agonists (cabergoline or bromocriptine) as the initial therapy for prolactinoma. However, surgical removal can also be considered in...
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