AIMC Topic: Prospective Studies

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Emulating future neurotechnology using magic.

Consciousness and cognition Dec 23, 2022
Recent developments in neuroscience and artificial intelligence have allowed machines to decode mental processes with growing accuracy. Neuroethicists have speculated that perfecting these technologies may result in reactions ranging from an invasion...
Problem Solving Forecasting Humans Neurosciences Prospective Studies Artificial Intelligence
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Can artificial intelligence pass the Fellowship of the Royal College of Radiologists examination? Multi-reader diagnostic accuracy study.

BMJ (Clinical research ed.) Dec 21, 2022
OBJECTIVE: To determine whether an artificial intelligence candidate could pass the rapid (radiographic) reporting component of the Fellowship of the Royal College of Radiologists (FRCR) examination.
Radiography Radiologists Humans Prospective Studies Artificial Intelligence Retrospective Studies Fellowships and Scholarships
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Neural network and decision tree-based machine learning tools to analyse the anion-responsive behaviours of emissive Ru(II)-terpyridine complexes.

Dalton transactions (Cambridge, England : 2003) Dec 20, 2022
We implemented both neural network and decision tree-based machine learning tools to analyse the anion-responsive behaviours of two heteroleptic Ru(II) complexes based on two tridentate ligands, 2,6-bis(benzimidazole-2-yl)pyridine (Hpbbzim) and subst...
Prospective Studies Decision Trees Anions Neural Networks, Computer Machine Learning
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Role of deep learning methods in screening for subcutaneous implantable cardioverter defibrillator in heart failure.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc Dec 16, 2022
INTRODUCTION: S-ICD eligibility is assessed at pre-implant screening where surface ECG traces are used as surrogates for S-ICD vectors. In heart failure (HF) patients undergoing diuresis, electrolytes and fluid shifts can cause changes in R and T wav...
Electrocardiography Death, Sudden, Cardiac Heart Failure Prospective Studies Middle Aged Arrhythmias, Cardiac Humans Female Adult Defibrillators, Implantable Deep Learning Aged Male
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A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video).

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Dec 15, 2022
BACKGROUND: White light (WL) and weak-magnifying (WM) endoscopy are both important methods for diagnosing gastric neoplasms. This study constructed a deep-learning system named ENDOANGEL-MM (multi-modal) aimed at real-time diagnosing gastric neoplasm...
Deep Learning Endoscopy, Gastrointestinal Prospective Studies Humans Stomach Neoplasms
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Parallel, component training in robotic total mesorectal excision.

Journal of robotic surgery Dec 14, 2022
There has been widespread adoption of robotic total mesorectal excision (TME) for rectal cancer in recent years. There is now increasing interest in training robotic novice surgeons in robotic TME surgery using the principles of component-based learn...
Robotic Surgical Procedures Prospective Studies Rectal Neoplasms Pilot Projects Clinical Competence Humans Robotics
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Deep learning based on carotid transverse B-mode scan videos for the diagnosis of carotid plaque: a prospective multicenter study.

European radiology Dec 13, 2022
OBJECTIVES: Accurate detection of carotid plaque using ultrasound (US) is essential for preventing stroke. However, the diagnostic performance of junior radiologists (with approximately 1 year of experience in carotid US evaluation) is relatively poo...
Ultrasonography Carotid Arteries Humans Prospective Studies Diagnosis, Computer-Assisted Deep Learning
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Editorial for "Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation".

Journal of magnetic resonance imaging : JMRI Dec 12, 2022
Humans Prospective Studies Magnetic Resonance Imaging Liver Deep Learning Image Processing, Computer-Assisted
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Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities.

BMC health services research Dec 12, 2022
BACKGROUND: Artificial intelligence (AI) and machine learning are transforming the optimization of clinical and patient workflows in healthcare. There is a need for research to specify clinical requirements for AI-enhanced care pathway planning and s...
Humans Critical Pathways Drugs, Generic Prospective Studies Artificial Intelligence Health Facilities Machine Learning
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Prospective risk analysis of the online-adaptive artificial intelligence-driven workflow using the Ethos treatment system.

Zeitschrift fur medizinische Physik Dec 9, 2022
PURPOSE: The recently introduced Varian Ethos system allows adjusting radiotherapy treatment plans to anatomical changes on a daily basis. The system uses artificial intelligence to speed up the process of creating adapted plans, comes with its own s...
Workflow Radiotherapy Planning, Computer-Assisted Prospective Studies Risk Assessment Artificial Intelligence Software Humans
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