AIMC Topic: Multicenter Studies as Topic

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Deep Learning-based Prediction of Percutaneous Recanalization in Chronic Total Occlusion Using Coronary CT Angiography.

Radiology
UNLABELLED: Background CT is helpful in guiding the revascularization of chronic total occlusion (CTO), but manual prediction scores of percutaneous coronary intervention (PCI) success have challenges. Deep learning (DL) is expected to predict succes...

Robotic-assisted microsurgery in andrology: a systematic review.

Asian journal of andrology
Robot-assisted surgery is the gold standard of treatment in many fields of urology. In this systematic review, we aim to report its usage in andrology and to evaluate any advantages. A systematic search of the PubMed and Cochrane Library databases wa...

Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy.

Journal for immunotherapy of cancer
Immunotherapy offers the potential for durable clinical benefit but calls into question the association between tumor size and outcome that currently forms the basis for imaging-guided treatment. Artificial intelligence (AI) and radiomics allow for d...

Machine Learning-Based Radiomics in Neuro-Oncology.

Acta neurochirurgica. Supplement
In the last decades, modern medicine has evolved into a data-centered discipline, generating massive amounts of granular high-dimensional data exceeding human comprehension. With improved computational methods, machine learning and artificial intelli...

Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies-PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice.

Schizophrenia bulletin
In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with the early stages of psychosis in the hope that these could aid the prediction of onset and clinical outcome. Despite advancements in the field, neuro...