AIMC Topic: Humans

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Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study.

Journal of medical Internet research
BACKGROUND: Digitalization is currently revolutionizing health care worldwide. A promising technology in this context is artificial intelligence (AI). The application of AI can support health care providers in their daily work in various ways. The in...

Diffused responsibilities in technology-driven health research: The case of artificial intelligence systems in decentralized clinical trials.

Drug discovery today
Innovations such as artificial intelligence (AI) and decentralized clinical trials (DCTs) offer opportunities to enhance trial quality and efficiency. However, these innovations raise ethical questions about key responsibilities in research, such as ...

AFMDD: Analyzing Functional Connectivity Feature of Major Depressive Disorder by Graph Neural Network-Based Model.

Journal of computational biology : a journal of computational molecular cell biology
The extraction of biomarkers from functional connectivity (FC) in the brain is of great significance for the diagnosis of mental disorders. In recent years, with the development of deep learning, several methods have been proposed to assist in the di...

Information Extraction from Clinical Texts with Generative Pre-trained Transformer Models.

International journal of medical sciences
Processing and analyzing clinical texts are challenging due to its unstructured nature. This study compared the performance of GPT (Generative Pre-trained Transformer)-3.5 and GPT-4 for extracting information from clinical text. Three types of clin...

Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

Acta cytologica
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytop...

Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling.

PloS one
BACKGROUND: Older persons comprise most traumatic brain injury (TBI)-related hospitalizations and deaths and are particularly susceptible to fall-induced TBIs. The combination of increased frailty and susceptibility to clinical decline creates a sign...

Adaptive wavelet base selection for deep learning-based ECG diagnosis: A reinforcement learning approach.

PloS one
Electrocardiogram (ECG) signals are crucial in diagnosing cardiovascular diseases (CVDs). While wavelet-based feature extraction has demonstrated effectiveness in deep learning (DL)-based ECG diagnosis, selecting the optimal wavelet base poses a sign...

Exploring ethical considerations in medical research: Harnessing pre-generated transformers for AI-powered ethics discussions.

PloS one
INTRODUCTION: In medical research involving human subjects, ethical review is essential to protect individuals. However, concerns have been raised about variations in ethical review opinions and a decline in review quality. Adequately protecting huma...

A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things.

PloS one
With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monitoring the health of workers, patients and others in different environments, antenna play a pivotal role in such wearables. In this communication, a no...

Assessment of ChatGPT-generated medical Arabic responses for patients with metabolic dysfunction-associated steatotic liver disease.

PloS one
BACKGROUND AND AIM: Artificial intelligence (AI)-powered chatbots, such as Chat Generative Pretrained Transformer (ChatGPT), have shown promising results in healthcare settings. These tools can help patients obtain real-time responses to queries, ens...