Results 31 to 40 of about 101,807 (260)

Artificial Intelligence-Assisted Diagnosis for Early Intervention Patients

Applied Sciences, 2022
The use of artificial intelligence to aid decision making is widely adopted today. Its application is found in different areas, among which the medical one is the most disruptive.
Ignacio Sierra, Norberto Díaz-Díaz, Carlos Barranco, Rocío Carrasco-Villalón   +3 more
doaj   +1 more source

Artificial neural networks for the detection of odontoid fractures using the Konstanz Information Miner Analytics Platform [PDF]

Asian Spine Journal
Study Design An experimental study. Purpose This study aimed to investigate the potential use of artificial neural networks (ANNs) in the detection of odontoid fractures using the Konstanz Information Miner (KNIME) Analytics Platform that provides a ...
Wongthawat Liawrungrueang, Sung Tan Cho, Vit Kotheeranurak, Alvin Pun, Khanathip Jitpakdee, Peem Sarasombath   +5 more
doaj   +1 more source

Computer-aided polyp characterization in colonoscopy: sufficient performance or not? [PDF]

Clinical Endoscopy
Computer-assisted polyp characterization (computer-aided diagnosis, CADx) facilitates optical diagnosis during colonoscopy. Several studies have demonstrated high sensitivity and specificity of CADx tools in identifying neoplastic changes in colorectal ...
Natalie Halvorsen, Yuichi Mori
doaj   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

Evaluating ChatGPT's Diagnostic Accuracy in Oral Mucosal Lesions: A Comparative Study with a Maxillofacial Surgeon

European Annals of Dental Sciences
Objective: Artificial intelligence (AI) and profound learning algorithms have been increasingly used for computerized decision-making in various complex tasks in recent years. This study aimed to compare ChatGPT (OpenAI, San Francisco, California, U.S.)
Hakan Alpay Karasu, Caner Öztürk, Raha Akbarihamed, Arif Yiğit Güler, Hacer Eberliköse   +4 more
doaj   +1 more source

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu, Kaitlin LaGasse, Cory D. Saucier, Kimberly Raymond, Miranda Lauher‐Charest, Lauren Crowder, Beilei Cai, Mary Lisha Paul, Denise Adams   +8 more
wiley   +1 more source

Deep learning detection of ectopic canines and molars in mixed dentition

Scientific Reports
Ectopic eruption (EE) during the mixed dentition is a significant dental anomaly that requires early detection to prevent complications that may impact function, aesthetics, and health.
Emine Gülşen, Fatma Nur Kızılay, Enes Mustafa Aşar, İbrahim Tevfik Gülşen, Semanur Özüdoğru, Türkan Ünal, Alican Kuran, Bayram Kendigelen, Mehmet Uğurlu, İbrahim Şevki Bayrakdar, Özer Çelik, Kaan Orhan   +11 more
doaj   +1 more source

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

Challenges of computer-assisted orthognathic surgery in clinical application [PDF]

口腔疾病防治
After years of development, the advantages of computer-assisted orthognathic surgery have been widely recognized. However, the clinical application of this technology is challenging.
YAN Jiashu, LI Biao, WANG Xudong
doaj   +3 more sources

Breast Ultrasound Computer-Aided Diagnosis: Analysis of Types of Errors

대한영상의학회지, 2018
Purpose: The aim of this study was to evaluate the diagnostic performance of breast ultrasound (US) computer-aided diagnosis (CAD) to distinguish between benign and malignant lesions and analyze features of lesions interpreted with errors ...
Min Kyung Jeong, Bong Joo Kang, Eunjeong Kim, Sung Hun Kim   +3 more
doaj   +1 more source