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Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.
Rheumatol Int
January 2025
Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, 95661, USA.
Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythematosus (SLE), scleroderma, rheumatoid arthritis (RA), and Sjögren's syndrome. Traditional evaluations often underestimate the associated cardiovascular disease (CVD) and stroke risk in women having AD. Vitamin D deficiency increases susceptibility to these conditions.
View Article and Find Full Text PDFThe Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research.
J Drug Target
January 2025
Sunirmal Bhattacharjee, Bharat Pharmaceutical Technology, Amtali, Agartala, Tripura, India.
A significant area of computer science called artificial intelligence (AI) is successfully applied to the analysis of intricate biological data and the extraction of substantial associations from datasets for a variety of biomedical uses. AI has attracted significant interest in biomedical research due to its features: (i) better patient care through early diagnosis and detection; (ii) enhanced workflow; (iii) lowering medical errors; (v) lowering medical costs; (vi) reducing morbidity and mortality; (vii) enhancing performance; (viii) enhancing precision; and (ix) time efficiency. Quantitative metrics are crucial for evaluating AI implementations, providing insights, enabling informed decisions, and measuring the impact of AI-driven initiatives, thereby enhancing transparency, accountability, and overall impact.
View Article and Find Full Text PDFUtilization of artificial intelligence in the diagnosis of pes planus and pes cavus with a smartphone camera.
World J Orthop
December 2024
Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, United States.
Background: Pes planus (flatfoot) and pes cavus (high arch foot) are common foot deformities, often requiring clinical and radiographic assessment for diagnosis and potential subsequent management. Traditional diagnostic methods, while effective, pose limitations such as cost, radiation exposure, and accessibility, particularly in underserved areas.
Aim: To develop deep learning algorithms that detect and classify such deformities using smartphone cameras.
Enhanced recovery after surgery protocols for minimally invasive treatment of Achilles tendon rupture: Prospective single-center randomized study.
World J Orthop
December 2024
School of Health and Nursing, Zhengzhou University, Zhengzhou 450000, Henan Province, China.
Background: Achilles tendon rupture is a common orthopedic injury, with an annual incidence of 11-37 per 100000 people, significantly impacting daily life. Minimally invasive surgery, increasingly favored for its reduced risks and comparable fixation strength to open surgery, addresses these challenges. Despite advantages like accelerated recovery, perioperative care poses emotional support, pain management, and rehabilitation challenges, impacting treatment efficacy and patient experience.
View Article and Find Full Text PDFArtificial intelligence application in endodontics: A narrative review.
Imaging Sci Dent
December 2024
Department of Conservative Dentistry, Faculty of Dentistry, Universitas Sumatera Utara, Medan, Indonesia.
Purpose: This review aimed to explore the scientific literature concerning the methodologies and applications of artificial intelligence (AI) in the field of endodontics. The findings may equip dentists with the necessary technical knowledge to understand the opportunities presented by AI.
Materials And Methods: Articles published between 1992 and 2023 were retrieved through an electronic search of Medline via the PubMed, Scopus, and Google Scholar databases.
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