Latest AI and machine learning research in fda general for healthcare professionals.
BACKGROUND: Accurately detecting a variety of lung abnormalities from heterogenous chest X-ray (CXR) images and writing radiology reports is often difficult and time-consuming.
OBJECTIVE: The potential of using retinal images as a biomarker of cardiovascular disease (CVD) risk has gained significant attention, but regulatory approval of such artificial intelligence (AI) algorithms is lacking. In this regulated pivotal trial, we validated the efficacy of Reti-CVD, an AI-Software as a Medical Device (AI-SaMD), that utilizes retinal images to stratify CVD risk.
Geographic atrophy (GA) secondary to age-related macular degeneration is among the most common causes of irreversible vision loss in industrialized co...
Spatial transcriptomics unveils the complex dynamics of cell regulation and transcriptomes, but it is typically cost-prohibitive. Predicting spatial g...
Social allostasis, the process by which social interactions dynamically regulate psychophysiological states (e.g., emotions), is attracting attention....
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associated acute respiratory distress syndrome (ARDS). : Th...
Transcriptomic data is accumulating rapidly; thus, scalable methods for extracting knowledge from this data are critical. Here, we assembled a top-dow...
Artificial intelligence, computational simulations, and extended reality, among other 21st century computational technologies, are changing the health...
The US Food and Drug Administration is clearing an increasing number of artificial intelligence and machine learning (AI/ML)-based medical devices thr...
Sleep plays an important role in neonatal brain and physical development, making its detection and characterization important for assessing early-stag...
The functional impact of single nucleotide polymorphisms (SNPs) on translation has yet to be considered when prioritizing disease-causing SNPs from ge...
To reduce the burden on medical professionals and achieve advanced medical care in the rapidly evolving and specializing medical field, the widespread...
Artificial intelligence (AI) in breast imaging is a rapidly developing field with promising results. Despite the large number of recent publications i...
With the wide application of artificial intelligence (AI) technology in clinical practice, more and more legal problems need to be solved. At present,...
BACKGROUND: We introduced the da Vinci robotic surgical system in 2006 for the first time in Japan, and have been performing robot-assisted rectal can...
Several limitations in algorithms and datasets in the field of X-ray security inspection result in the low accuracy of X-ray image inspection. In the ...
BACKGROUND: Monitoring cardiac parameters is the fundamental aspect of every diagnostic process and is facilitated by electrocardiography (ECG) device...
BACKGROUND: Defibrillators are medical devices (MDs) used in the most critical situations, hence their performance must be ensured at all times. This ...
BACKGROUND: Therapeutic ultrasounds are medical devices used for treatment of conditions such muscle spasms, joint contractures or general muscle pain...