Glaucoma Medication and its Relationship with Depression

Glaucoma Medication and its Relationship with Depression Brigita Deya Widiana1, Yulia Primitasari2*, and Citrawati Dyah Kencono Wungu3 Abstract Glaucoma is a disease of progressive degeneration of the optic nerve which is the second leading cause of blindness worldwide, results in irreversible blindness. The only therapy proven to be effective is

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Privacy-First Artificial Intelligence: Toward Fair, Transparent, and Accountable Systems

Privacy-First Artificial Intelligence: Toward Fair, Transparent, and Accountable Systems Direesh Reddy Aunugu*, Venumadhav Goud Vathsavai Abstract As artificial intelligence (AI) systems increasingly influence decisions in healthcare, finance, education, and governance, concerns surrounding data privacy, algorithmic fairness, and ethical accountability are becoming critical. This study presents a privacy-first approach to AI

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Dietary Intake and Physical Activity in Relation to Obesity in 6-12 Years Old Children at SDN Banyu Urip III/364 Surabaya

Dietary Intake and Physical Activity in Relation to Obesity in 6-12 Years Old Children at SDN Banyu Urip III/364 Surabaya Valensia Arita Putri1*, Dwi Aprilawati2, Mira Irmawati3, and Nur Aisiyah Widjaja4 Abstract Introduction: Obesity is a multifactorial disorder characterized by excessive accumulation of fat in the body. Obesity can increase

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Relationship Between Obesity and Menstrual Cycle Disorders in Adolescent Girls at SMP Al-Izzah International Islamic Boarding School Batu in 2021

Relationship Between Obesity and Menstrual Cycle Disorders in Adolescent Girls at SMP Al-Izzah International Islamic Boarding School Batu in 2021 Safa Salsabila Hanum1*, Eighty Mardiyan Kurniawati2, Dwi Apriliawati3 and Pungky Mulawardhana2 Abstract Background: Results of the Riskesdas Nasional 2010 stated that as many as 13.7% of Indonesian women experienced menstrual

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Performance Comparison Between Convolutional Neural Network-Based Artificial Intelligence SiCoSa with a Combination of 2 Radiology Specialists at Universitas Airlangga Hospital in Diagnosing COVID-19 on Chest X-Ray Images

Performance Comparison Between Convolutional Neural Network-Based Artificial Intelligence SiCoSa with a Combination of 2 Radiology Specialists at Universitas Airlangga Hospital in Diagnosing COVID-19 on Chest X-Ray Images Caesario Indra Ardana1, Anggraini Dwi Sensusiati2* and Niko Azhari Hidayat3 Abstract Introduction: COVID-19 can be detected in various ways, namely RT-PCR as the

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