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Disertasi
Pengembangan Model Kecerdasan Buatan Pembelajaran Mesin untuk Prediksi Keberhasilan Terapi Trombolisis Intravena pada Stroke Iskemik Hiperakut Sirkulasi Anterior dengan Menggunakan CT Scan Otak, Data Klinis, dan Laboratorium Darah
2024 | BY Jacub Pandelaki - Prijo Sidipratomo - Salim Harris - Reyhan Eddy Yunus- Development of Artificial Intellegence-Machine Learning Model for Hyperacute Ischemic Stroke Prognostication in Patients Treated with Thrombolysis using Brain CT Scan, Clinical Data, and Laboratory Values.
- Nomor Panggil D24038fk
Tesis
Kemampuan Model Kecerdasan Buatan Learning Intelligent for Effective Sonography (LIFES) untuk Deteksi Infark Miokardium pada Pasien dengan Sindroma Koroner Akut Non Elevasi Segmen ST (SKA-NEST)
2024 | BY Renan Sukmawan - Lies Dina Liastuti - Eng. Wisnu Jatmiko - Kevin Moses Hanky Jr Tandayu- Diagnostic Value of Learning Intelligent for Effective Sonography (LIFES) Artificial Intelligence Model in Detection Myocardial Infarction among Patients with Non-ST Elevation Acute Coronary Syndrome (NSTEACS).
- Nomor Panggil T24399fk
e-Books
Computational intelligence for oncology and neurological disorders : current practices and future directions / edited by Mrutyunjaya Panda, Ajith Abraham, Gopi Biju, Reuel Ajith
2024 | BY Panda, Mrutyunjaya - Abraham, Ajith - Gopi, Biju- Nomor Panggil W 26.55.A7 P1891 2024
e-Books
Artificial Intelligence and Deep Learning in Pathology
2021 | BY Cohen, Stanley, M.D- Nomor Panggil QZ 26.5 C6781 2021
Tesis
Perbandingan Pembacaan Usia Tulang antara Metode Greulich and Pyle dan Deep Learning Artificial Intelligence
2024 | BY Shofa Nisrina Luthfiyani - Evita Karianni Bermanshah - Aman Bhakti Pulungan- Comparison of Bone Age Assessment Using Deep Learning Artificial Intelligence and Greulich and Pyle Method.
- Nomor Panggil T24131fk
Skripsi
Penilaian Meibomian Gland Dysfunction melalui Analisis Kecerdasan Artifisial Menggunakan Pencitraan Meibografi pada Pasien Penyakit Mata Kering RSCM Kirana 2021
2022 | BY Rejoel Mangasa Siagian - Prasandhya Astagiri Yusuf- Meibomian Gland Dysfunction Detection through Artificial Intelligence Analysis Using Meibographic Imaging in Dry Eye Disease Patients at RSCM Kirana 2021.
- Nomor Panggil S22019fk
Tesis
Prediksi Luaran Klinis Pada Pasien Gagal Jantung Dekompensasi Akut Dengan Penurunan Fraksi Ejeksi dan Diabetes Melitus Tipe 2 Menggunakan Kecerdasan Buatan
2023 | BY Amanda Halimi - Bambang Widyantoro - Hary Sakti Muliawan - Eng. Wisnu Jatmiko- Prediction of Clinical Outcomes in Patients with Acute Decompensated Heart Failure with Reduced Ejection Fraction and Type 2 Diabetes Mellitus Using Artificial Intelligence.
- Nomor Panggil T23561fk
Tesis
Perbedaan Performa Skoring Artificial Intelligence dibanding Skoring Penilaian Brixia pada Foto Rontgen Dada Terhadap RT-CR SARS CoV-2 serta Hubungannya dengan Derajat Keparahan pada Subjek Coronavirus Disease-2019
2023 | BY Eric Daniel Tenda - Cleophas Martin Rumende - Kuntjoro Harimurti - Vally Wulani- Artificial Intelligence Scoring Performace 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.
- Nomor Panggil T23157fk
Tesis
Akurasi dan Efisiensi Penilaian Usia Tulang dengan Bantuan Kecerdasan Buatan (Artificial Intelligence) pada Radiografi Manus Populasi Anak Indonesia
2022 | BY Muhammad Reza Yunusi - Krishna Pandu Wicaksono - Joedo Prihartono - Damayanti Sekarsari- Accuracy and Efficiency of Artificial Intelligence-Assisted Bone Age Evaluation of Indonesian Children Population Based on Hand Radiography.
- Nomor Panggil T22494fk
Tesis
Kesesuaian Penilaian Ground Glass Opacity dan Konsolidasi Pada Radiografi Toraks Antara Dokter Radiologi Tanpa dan Dengan Bantuan Sistem Artificial Intelligence Pada Pasien Tersangka COVID-19
2022 | BY RAHMI Afifi - Joedo Prihartono - Adrian Dwi Putra Widyarman - Cleopas Martin Rumende- Concordance of Ground Glass Opacity and Consolidation Interpretation in Chest Radiograph Between Radiologist With and Without Artificial Intelligence System in Suspected COVID-19 Patients.
- Nomor Panggil T22151fk