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Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

The aim of this work is to study the dosimetric effect from generated synthetic computed tomography (sCT) from magnetic resonance (MR) images using a deep learning algorithm for Gamma Knife (GK) stereotactic radiosurgery (SRS). The Monte Carlo (MC) method is used for dose calculations. Thirty patients were retrospectively selected with our institution IRB's approval. All patients were treated with...

Addressing health disparities in the Food and Drug Administration's artificial intelligence and machine learning regulatory framework.

The exponential growth of health data from devices, health applications, and electronic health records coupled with the development of data analysis tools such as machine learning offer opportunities to leverage these data to mitigate health disparities. However, these tools have also been shown to exacerbate inequities faced by marginalized groups. Focusing on health disparities should be part of...

AI technology for remote clinical assessment and monitoring.

OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered, portable and non-invasive medical device called W...

Embracing the Future: Using Artificial Intelligence in Australian Health Practitioner Regulation.

Artificial intelligence (AI) - computerised technology that imitates aspects of human intelligence - is developing at a rapid pace. It is increasingly...

Pathomics in urology.

PURPOSE OF REVIEW: Pathomics, the fusion of digitalized pathology and artificial intelligence, is currently changing the landscape of medical patholog...

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.

Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as, or even better than, those drawn by humans. AI i...

Deep learning based prediction of reversible HAT/HDAC-specific lysine acetylation.

Protein lysine acetylation regulation is an important molecular mechanism for regulating cellular processes and plays critical physiological and patho...

Artificial Intelligence and Machine Learning in Radiology: Current State and Considerations for Routine Clinical Implementation.

Although artificial intelligence (AI) has been a focus of medical research for decades, in the last decade, the field of radiology has seen tremendous...

Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions.

Whole slide imaging (WSI), ever since its first introduction about two decades ago, has been validated for a number of applications in the field of pa...

Explainable AI (xAI) for Anatomic Pathology.

Pathologists are adopting whole slide images (WSIs) for diagnosis, thanks to recent FDA approval of WSI systems as class II medical devices. In respon...

Automated Misspelling Detection and Correction in Persian Clinical Text.

Accurate electronic health records are important for clinical care, research, and patient safety assurance. Correction of misspelled words is required...

Robot-Assisted Cortical Bone Trajectory Insertion of Pedicle Screws: 2-Dimensional Operative Video.

Robot-assisted pedicle screw insertion has been slowly gaining popularity in the spine surgery community. In previous studies, robotics has been shown...

Regulatory oversight, causal inference, and safe and effective health care machine learning.

In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regu...

Machine Learning Uncovers Food- and Excipient-Drug Interactions.

Inactive ingredients and generally recognized as safe compounds are regarded by the US Food and Drug Administration (FDA) as benign for human consumpt...

Artificial Intelligence and Ophthalmology.

Artificial intelligence is advancing rapidly and making its way into all areas of our lives. This review discusses developments and potential practice...

Human adipose-derived mesenchymal stem cell-based medical microrobot system for knee cartilage regeneration in vivo.

Targeted cell delivery by a magnetically actuated microrobot with a porous structure is a promising technique to enhance the low targeting efficiency ...

Imputation Strategy for Reliable Regional MRI Morphological Measurements.

Regional morphological analysis represents a crucial step in most neuroimaging studies. Results from brain segmentation techniques are intrinsically p...

Development of Genome-Derived Tumor Type Prediction to Inform Clinical Cancer Care.

IMPORTANCE: Diagnosing the site of origin for cancer is a pillar of disease classification that has directed clinical care for more than a century. Ev...

Machine Learning as a Proposal for a Better Application of Food Nanotechnology Regulation in the European Union.

AIMS: Given the current gaps of scientific knowledge and the need of efficient application of food law, this paper makes an analysis of principles of ...

How the FDA Regulates AI.

Recent years have seen digital technologies increasingly leveraged to multiply conventional imaging modalities' diagnostic power. Artificial intellige...