Latest AI and machine learning research in work force for healthcare professionals.
INTRODUCTION: A shortage of trained retinal specialists has created a growing need for a telehealth retinal screening alternative. Recent developments in handheld fundus cameras, enhanced by artificial intelligence (AI) and machine learning (ML) methods, have created a promising avenue to satisfy the unmet need for efficient retinal disease screening. This paper discusses the state of current hand...
Brain tumors pose a severe health risk, often leading to fatal outcomes if not detected early. While most studies focus on improving classification accuracy, this research emphasizes prediction certainty, quantified through loss values. Traditional metrics like accuracy and precision do not capture confidence in predictions, which is critical for medical applications. This study establishes a corr...
Existing research on federated learning (FL) usually assumes that training labels are of high quality for each client, which is impractical in many re...
IMPORTANCE: The US healthcare system faces significant challenges, including clinician burnout, operational inefficiencies, and concerns about patient...
Anesthesiology has a longstanding commitment to patient safety, characterized by innovative research, quality improvement, multidisciplinary collabora...
Understanding and decoding brain activity from electroencephalography (EEG) signals is a fundamental challenge in neuroscience and AI, with applicat...
Although Large Vision Language Models (LVLMs) have demonstrated remarkable performance in image understanding tasks, their computational efficiency ...
Solving Inverse Kinematics (IK) problems is fundamental to robotics, but has primarily been successful with single serial manipulators. For multi-ar...
Our research addresses the critical challenge of managing blood transfusions and optimizing allocation in resource-constrained regions. We present h...
Multi-session persona-based dialogue generation presents challenges in maintaining long-term consistency and generating diverse, personalized respon...
In multimodal large language models (MLLMs), the length of input visual tokens is often significantly greater than that of their textual counterpart...
Skin carcinoma is the most prevalent form of cancer globally, accounting for over $8 billion in annual healthcare expenditures. In clinical settings...
Aegilops tauschii Coss., a progenitor of bread wheat, is an important wild genetic resource for breeding. The species comprises three genetically defi...
Safe deployment of machine learning (ML) models in safety-critical domains such as medical imaging requires detecting inputs with characteristics no...
Recently, the rectified flow (RF) has emerged as the new state-of-the-art among flow-based diffusion models due to its high efficiency advantage in ...
Machine learning (ML) potentials have become a well-established tool for providing inexpensive, yet quantum-mechanically accurate, atomistic simulatio...
The development of new adsorbents for water treatment often involves complex adsorption mechanisms, whose individual contributions are unclear, thereb...
Psychological counseling faces huge challenges due to the growing demand for mental health services and the shortage of trained professionals. Large...
Surveillance systems play a critical role in security and reconnaissance, but their performance is often compromised by low-quality images and video...
Fine-tuning Stable Diffusion enables subject-driven image synthesis by adapting the model to generate images containing specific subjects. However, ...