首页|University of Malaya Reports Findings in Artificial Intelligence [Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023)]
University of Malaya Reports Findings in Artificial Intelligence [Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Kuala Lumpur, M alaysia, by NewsRx correspondents, research stated, "Artificial Intelligence (AI ) techniques are increasingly used in computer-aided diagnostic tools in medicin e. These techniques can also help to identify Hypertension (HTN) in its early st age, as it is a global health issue." Our news journalists obtained a quote from the research from the University of M alaya, "Automated HTN detection uses socio-demographic, clinical data, and physi ological signals. Additionally, signs of secondary HTN can also be identified us ing various imaging modalities. This systematic review examines related work on automated HTN detection. We identify datasets, techniques, and classifiers used to develop AI models from clinical data, physiological signals, and fused data ( a combination of both). Image-based models for assessing secondary HTN are also reviewed. The majority of the studies have primarily utilized single-modality ap proaches, such as biological signals (e.g., electrocardiography, photoplethysmog raphy), and medical imaging (e.g., magnetic resonance angiography, ultrasound). Surprisingly, only a small portion of the studies (22 out of 122) utilized a mul ti-modal fusion approach combining data from different sources. Even fewer inves tigated integrating clinical data, physiological signals, and medical imaging to understand the intricate relationships between these factors."
Kuala LumpurMalaysiaAsiaArtificial IntelligenceCardiovascular Diseases and ConditionsEmerging TechnologiesHe alth and MedicineHypertensionMachine Learning
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