Eric Daniel Tenda, author
Perbedaan Performa Skoring Artificial Intelligence Dibanding Skoring Penilaian Brixia pada Foto Rontgen Dada terhadap RT-PCR SARS CoV-2 Serta Hubungannya dengan Derajat Keparahan pada Subjek Pneumonia Coronavirus Disease-2019 = Artificial Intelligence Scoring Performance Compared to Brixia Score on Chest X-Ray Against RT-PCR SARS CoV-2 Result and its Relation to Disease Severity in Coronavirus Disease 2019 Subjects
Fakultas Kedokteran Universitas Indonesia, 2023
 UI - Tesis (Membership)
Fitri Yuli Zulkifli, author
Pengelolaan Proyek Pengembangan Purwarupa Sistem Deteksi Foreign Object Debris (FOD) untuk Keamanan Landasan Pacu di Bandara = Project Management for the Development of Foreign Object Debris (FOD) Detection System for Airports Runway Security
Fakultas Teknik Universitas Indonesia, 2022
 UI - Tugas Akhir
Miyuki Fattah Rizki, author
Pertanggungjawaban Hukum Pengumpulan Data Biometrik Melalui Artificial Intelligence Tanpa Persetujuan Pemilik Data (Studi Kasus Clearview AI Inc. di Yunani dan Inggris) = Legal Liability of Biometric Data Gathering Through Artificial Intelligence Without Consent of The Data Owner (Case Studies of Clearview AI Inc. in Greece and The United Kingdom)
Fakultas Hukum Universitas Indonesia, 2023
 UI - Skripsi Membership
Amanda Halimi, author
Prediksi luaran klinis pada pasien gagal jantung dekompensasi akut dengan penurunan fraksi ejeksi dan diabetes melitus tipe 2 menggunakan kecerdasan buatan = Prediction of clinical outcomes in patients with acute decompensated heart failure with reduced ejection fraction and yype 2 diabetes mellitus using artificial intelligence
Fakultas Kedokteran Universitas Indonesia, 2023
 UI - Tugas Akhir
Anggara Mahardika, author
Translasi dan Validasi Isi Kuesioner WERF-EPHect Clinical Questionnaire (Standard) Versi Indonesia Sebagai Alat Pengambil Data Fenotip Klinis Terstandardisasi Pasien Endometriosis di Indonesia = Translation and Content Validation WERF-EPHect Clinical Questionnaire (Standard) Questionaire Indonesian Version as Standardized Phenotype Clinical Features Collecting Data Tools for Endometriosis Patients in Indonesia
Fakultas Kedokteran Universitas Indonesia, 2019
 UI - Tugas Akhir
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