Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Millions of people in African countries face barriers to accessing healthcare due to language and literacy gaps. This research tackles this challenge by transforming complex medical documents -- in this case, prosthetic device user manuals -- into accessible formats for underserved populations. This case study in cross-cultural translation is particularly pertinent/relevant for communities that ...
Smartphone-based heart rate (HR) monitoring apps using finger-over-camera photoplethysmography (PPG) face significant challenges in performance evaluation and device compatibility due to device variability and fragmentation. Manual testing is impractical, and standardized methods are lacking. This paper presents a novel, high-throughput bench-testing platform to address this critical need. We de...
Rare diseases collectively affect over 300 million individuals worldwide, yet timely and accurate diagnosis remains a pervasive challenge. This is l...
The objective of this study is to map the global scientific competitive landscape in the field of artificial intelligence (AI) medical devices using s...
The emergence of new-generation artificial intelligence technology has brought numerous innovations to the healthcare field, including telemedicine an...
The rapid development of artificial intelligence technology is driving profound changes in medical practice, particularly in the field of medical devi...
In the information age, novel hardware solutions are urgently needed to efficiently store and process increasing amounts of data. In this scenario, me...
The integration of AI/ML into medical devices is rapidly transforming healthcare by enhancing diagnostic and treatment facilities. However, this adv...
Performance evaluation for Content-Based Image Retrieval (CBIR) remains a crucial but unsolved problem today especially in the medical domain. Vario...
Visual Information Extraction (VIE) converts unstructured document images into structured formats like JSON, critical for medical applications such ...
Static and hard-coded layer-two network identifiers are well known to present security vulnerabilities and endanger user privacy. In this work, we i...
BACKGROUND: Breast implant illness (BII) is a spectrum of symptoms some people attribute to breast implants. Although causality remains unproven, pati...
In the past, the development of vaccines and immunotherapeutics relied heavily on trial-and-error experimentation and extensive in vivo testing, oft...
This study developed a DWI-based radiomics nomogram to predict impaired health-related quality of life (HRQOL) in patients with unruptured intracrania...
Claims made by individuals or entities are oftentimes nuanced and cannot be clearly labeled as entirely "true" or "false" -- as is frequently the ca...
As the complexity of safety-critical medical devices increases, so does the need for clear, verifiable, software requirements. This paper explores t...
Regardless the advancements in device capabilities, efficient inferencing advanced large language models (LLMs) at the edge remains challenging due ...
. Understanding speech in the presence of background noise such as other speech streams is a difficult problem for people with hearing impairment, and...
Recurrent waves of viral infection necessitate vaccines and therapeutics that remain effective against emerging viruses. Our ability to evaluate inter...
Bacterial infections have been demonstrated to cause the premature failure of implants. A reliable strategy for preserving biocompatibility is to phys...