Artificial intelligence in clinical medicine and dentistry [PDF]
Vojnosanitetski Pregled, 2017 nema
Miladinović Milan +6 more
doaj +1 more source
Clinical Case Reports, 2023 Key Clinical Message Large language models have made artificial intelligence readily available to the general public and potentially have a role in healthcare; however, their use in difficult differential diagnosis is still limited, as demonstrated by a ...
Giorgia Pugliese +7 more
doaj +1 more source
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
Diagnostics, 2020 Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors.
Michael G. Endres +12 more
doaj +1 more source
Application of computer-aided diagnosis in breast ultrasound interpretation: improvements in diagnostic performance according to reader experience [PDF]
Ultrasonography, 2018 Purpose The purpose of this study was to evaluate the usefulness of applying computer-aided diagnosis (CAD) to breast ultrasound (US), depending on the reader's experience with breast imaging.
Ji-Hye Choi +4 more
doaj +1 more source
Automated and Computer-Assisted Detection, Classification, and Diagnosis of Diabetic Retinopathy.
Telemedicine journal and e-health, 2020 Background: The introduction of artificial intelligence (AI) in medicine has raised significant ethical, economic, and scientific controversies. Introduction: Because an explicit goal of AI is to perform processes previously reserved for human clinicians
M. Abràmoff +6 more
semanticscholar +1 more source
Whole brain irradiation with simultaneous integrated boost in treatment of oligometastatic brain disease [PDF]
Vojnosanitetski Pregled, 2019 Background/Aim. Brain metastases occur in 20%–30% of all patients with systemic cancer. We aimed at investigating whether patients with oligometastatic brain disease treated with whole brain radiotherapy (WBRT) and simultaneous integrated boost of brain ...
Kolarević Goran +3 more
doaj +1 more source
Life, 2021 The value of computer-aided diagnosis (CAD) and computer-assisted techniques equipped with different TIRADS remains ambiguous. Parallel diagnosis performances of computer-assisted subjective assessments and CAD were compared based on AACE, ATA, EU, and ...
Nonhlanhla Chambara +3 more
doaj +1 more source
Deep learning for computer-assisted diagnosis of hereditary diffuse gastric cancer [PDF]
Journal of Pathology and Translational Medicine, 2021 Background Patients with hereditary diffuse gastric cancer often undergo prophylactic gastrectomy to minimize cancer risk. Because intramucosal poorly cohesive carcinomas in this setting are typically not grossly visible, many pathologists assess the ...
Sean A. Rasmussen +2 more
doaj +1 more source
Visual Interpretability in Computer-Assisted Diagnosis of Thyroid Nodules Using Ultrasound Images
Medical Science Monitor, 2020 Background The number of studies on deep learning in artificial intelligence (AI)-assisted diagnosis of thyroid nodules is increasing. However, it is difficult to explain what the models actually learn in artificial intelligence-assisted medical research.
Xi Wei +8 more
semanticscholar +1 more source
Surgical treatment of acute appendicitis with laparoscopic technologies
Учёные записки Санкт-Петербургского государственного медицинского университета им. Акад. И.П. Павлова, 2018 The aim of the work was to study the effectiveness of the Computer Assisted Surgical Intervention in 597 patients with the diagnosis of acute appendicitis.
R. Zh. Izbassarov
doaj +1 more source