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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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A survey on advancements in image-text multimodal models: From general techniques to biomedical implementations.

With the significant advancements of Large Language Models (LLMs) in the field of Natural Language P...

The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review.

Prosthodontics is a dental subspecialty that includes the preparation of dental prosthetics for miss...

Mental health analysis of international students using machine learning techniques.

International students' mental health has become an increasing concern in recent years, as more stud...

Pre-trained language models in medicine: A survey.

With the rapid progress in Natural Language Processing (NLP), Pre-trained Language Models (PLM) such...

Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility.

The growing prominence of artificial intelligence (AI) in mobile health (mHealth) has given rise to ...

Instruments for Measuring Psychological Dimensions in Human-Robot Interaction: Systematic Review of Psychometric Properties.

BACKGROUND: Numerous user-related psychological dimensions can significantly influence the dynamics ...

A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.

MicroRNAs (miRNAs) are an important class of non-coding RNAs that play an essential role in the occu...

A comprehensive survey on the use of deep learning techniques in glioblastoma.

Glioblastoma, characterized as a grade 4 astrocytoma, stands out as the most aggressive brain tumor,...

Reliability of artificial intelligence chatbot responses to frequently asked questions in breast surgical oncology.

INTRODUCTION: Artificial intelligence (AI)-driven chatbots, capable of simulating human-like convers...

Classification of short and long term mild traumatic brain injury using computerized eye tracking.

Accurate, and objective diagnosis of brain injury remains challenging. This study evaluated useabili...

Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study.

BACKGROUND: Current embryo assessment methods for in vitro fertilization depend on subjective morpho...

Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection.

Source-free domain adaptation (SFDA) aims to adapt a lightweight pretrained source model to unlabele...

Scoring facial attractiveness with deep convolutional neural networks: How training on standardized images reduces the bias of facial expressions.

OBJECTIVE: In many medical disciplines, facial attractiveness is part of the diagnosis, yet its scor...

A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods.

The comprehensive integration of machine learning healthcare models within clinical practice remains...

Validity of facial skin analysis pore detection: A comparative analysis.

BACKGROUND: Reliable, objective measures to assess facial characteristics would aid in the assessmen...

Machine learning prediction of nutritional status among pregnant women in Bangladesh: Evidence from Bangladesh demographic and health survey 2017-18.

AIM: Malnutrition in pregnant women significantly affects both mother and child health. This researc...

Transformer-CNN hybrid network for improving PET time of flight prediction.

In positron emission tomography (PET) reconstruction, the integration of time-of-flight (TOF) inform...

Enhanced reliability and time efficiency of deep learning-based posterior tibial slope measurement over manual techniques.

PURPOSE: Multifaceted factors contribute to inferior outcomes following anterior cruciate ligament (...

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