Work Force

Training multi-source domain adaptation network by mutual information estimation and minimization.

We address the problem of Multi-Source Domain Adaptation (MSDA), which trains a neural network using...

Characterizing adjuvants' effects at murine immunoglobulin repertoire level.

Generating large-scale, high-fidelity sequencing data is challenging and, furthermore, not much has ...

An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma.

When the mutation affects the melanocytes of the body, a condition called melanoma results which is ...

Stroke classification and treatment support system artificial intelligence for usefulness of stroke diagnosis.

BACKGROUND AND AIMS: It is important to diagnose cerebral infarction at an early stage and select an...

PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences.

The last few years have seen the development of numerous deep learning-based protein-ligand docking ...

AI approach to biventricular function assessment in cine-MRI: an ultra-small training dataset and multivendor study.

. It was a great challenge to train an excellent and generalized model on an ultra-small data set co...

Closing the Gaps in Care of Dyslipidemia: Revolutionizing Management with Digital Health and Innovative Care Models.

Although great progress has been made in the diagnostic and treatment options for dyslipidemias, una...

A single session of strength training changed plasma levels of resistin, but not leptin in overweight and obese men.

Obesity has a complex multifactorial etiology and is characterized by excessive accumulation of adip...

Comparison of Artificial Intelligence to Resident Performance on Upper-Extremity Orthopaedic In-Training Examination Questions.

PURPOSE: Currently, there is a paucity of prior investigations and studies examining applications fo...

ChatGPT Performs at the Level of a Third-Year Orthopaedic Surgery Resident on the Orthopaedic In-Training Examination.

INTRODUCTION: Publicly available AI language models such as ChatGPT have demonstrated utility in tex...

Diagnosing lagophthalmos using artificial intelligence.

Lagophthalmos is the incomplete closure of the eyelids posing the risk of corneal ulceration and bli...

Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) technology design and development...

Fixing the problems of deep neural networks will require better training data and learning algorithms.

Bowers et al. argue that deep neural networks (DNNs) are poor models of biological vision because th...

Interactive Healthcare Robot Using Attention-Based Question-Answer Retrieval and Medical Entity Extraction Models.

In healthcare facilities, answering the questions from the patients and their companions about the h...

Large Language Models in Neurology Research and Future Practice.

Recent advancements in generative artificial intelligence, particularly using large language models ...

Skin Inclusion: Addressing Deficits in Medical Education to Promote Diversity in Dermatological Diagnosis and Treatment.

Dermatological conditions impact many people globally, including those with melanin-rich skin. Howev...

Pharmacokinetic Profiling of Ginsenosides, Rb1, Rd, and Rg3, in Mice with Antibiotic-Induced Gut Microbiota Alterations: Implications for Variability in the Therapeutic Efficacy of Red Ginseng Extracts.

Ginsenoside Rg3 is reported to contribute to the traditionally known diverse effects of red ginseng ...

The effect and exploration of continuous positive pressure ventilation combined with upper limb robot training on upper limb function in stroke patients with OSAHS.

Energy controls wave propagation in a neural network with spatial stimuli.

Nervous system has distinct anisotropy and some intrinsic biophysical properties enable neurons pres...

A multimodal screening system for elderly neurological diseases based on deep learning.

In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We pr...

Retrospectively assessing evaluation and management of artificial-intelligence detected nodules on uninterpreted chest radiographs in the era of radiologists shortage.

PURPOSE: High volumes of chest radiographs (CXR) remain uninterpreted due to severe shortage of radi...