Latest AI and machine learning research in work force for healthcare professionals.
Cataracts are a leading cause of global blindness, with many low-resource populations having poor access to eye care. While much is known regarding surgical access and outcomes, less is understood about the initial detection of operable cataracts in low-resource settings. We performed a comprehensive literature review on existing and emerging cataract screening methods in low- and middle-income co...
The critically endangered kākāpō (Strigops habroptilus) has suffered population declines due to habitat loss, hunting, and predation. Conservation efforts, including translocation to predator-free islands, have helped increase numbers of this flightless parrot from 51 individuals in 1995-142 in 2019. However, low fertility and high embryo mortality, likely due to genetic bottlenecks continue to hi...
In order to solve the problems of high dependence on the accuracy of environmental model and poor environmental adaptability of traditional control me...
Effective management of obesity and type 2 diabetes is a major global public health challenge that requires evidence-based, scalable personalized nutr...
Deep vein thrombosis (DVT) causes significant morbidity/mortality and timely diagnosis often via ultrasound is critical. However, the shortage of trai...
This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and Gemini, into breast imaging. LLMs excel in underst...
The advent of large language models (LLMs) represents an enormous opportunity to revolutionize medical education. Via "synthetic education," LLMs can ...
Protein aggregation is a pathological hallmark of more than 50 human diseases and a major problem for biotechnology. Methods have been proposed to pre...
BACKGROUND AND OBJECTIVE: DNA micro-array technology has a remarkable impact on biological research, particularly in categorizing and diagnosing cance...
The development of universal machine learning potentials (MLP) for small organic and drug-like molecules requires large, accurate datasets that span d...
BACKGROUND: Accurate prediction of hospital emergency department (ED) patient visits and acuity levels have potential to improve resource allocation i...
Automated foul detection in football represents a challenging task due to the dynamic nature of the game, the variability in player movements, and the...
Physician burnout, a growing crisis in the healthcare system of the United States of America (USA), is characterized by long-term job-related stress t...
To promote the intelligent development and preservation of folk sports culture, this work proposes a model grounded in the Cycle-Consistent Generative...
Biomechanical movement analysis is crucial in medical and sports contexts, yet the technology remains expensive and inaccessible to many. Recent advan...
AstroSage-Llama-3.1-8B is a domain-specialized natural-language AI assistant tailored for research in astronomy, astrophysics, cosmology, and astronom...
Turnaround time (TAT) has evolved into a complex metric in the current era of diagnostic radiology. Initially monitoring a radiologist's ability to ef...
Increasing the number of organ donations after circulatory death (DCD) has been identified as one of the most important ways of addressing the ongoing...
BACKGROUND: The creation of operative reports is a tedious documentation task that increases administrative burden, which is a potential driver of bur...
The radiation of angiosperms is marked by a phenomenal diversity of floral size, shape, color, scent, and reward. The multi-dimensional response to se...