AIMC Topic: Humans

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How do providers of artificial intelligence (AI) solutions propose and legitimize the values of their solutions for supporting diagnostic radiology workflow? A technography study in 2021.

European radiology
OBJECTIVES: How do providers of artificial intelligence (AI) solutions propose and legitimize the values of their solutions for supporting diagnostic radiology workflow?

Trends in the surgical management of parapharyngeal space tumors: A single-center retrospective analysis.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
PURPOSE: Surgery remains the mainstay treatment for parapharyngeal space (PPS) tumors. Given the rapid advance and increasing usage of endoscopic and robotic techniques, we aimed to investigate the surgical trends of PPS tumors in our institution and...

A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT.

Skeletal radiology
BACKGROUND: Whole-body low-dose CT is the recommended initial imaging modality to evaluate bone destruction as a result of multiple myeloma. Accurate interpretation of these scans to detect small lytic bone lesions is time intensive. A functional dee...

Evaluating Surgical Outcomes of Robot Assisted Simple Prostatectomy in the Retreatment Setting.

Urology
OBJECTIVE: To report perioperative and postoperative outcomes in men who undergo salvage RASP (sRASP) following some other endoscopic outlet procedure for benign prostate enlargement (BPE) compared to those undergoing RASP for primary treatment (pRAS...

Comparison of machine learning methods for the detection of focal cortical dysplasia lesions: decision tree, support vector machine and artificial neural network.

Neurological research
BACKGROUND: Accurate classification of focal cortical dysplasia (FCD) has been challenging due to the problematic visual detection in magnetic resonance imaging (MRI). Hence, recently, there has been a necessity for employing new techniques to solve ...

Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets.

Computers in biology and medicine
Screening and diagnosis of diabetic retinopathy disease is a well known problem in the biomedical domain. The use of medical imagery from a patient's eye for detecting the damage caused to blood vessels is a part of the computer-aided diagnosis that ...