AIMC Topic: Artificial Intelligence

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Artificial intelligence in the prescription of acute medical treatments in primary healthcare - comparison of the performance of family physicians and ChatGPT.

BMC primary care
INTRODUCTION: Artificial intelligence (AI) is increasingly being recognized as a transformative force in healthcare, showing significant promise in supporting healthcare professionals. AI has many applications in healthcare, including providing real-...

Threshold optimization in AI chest radiography analysis: integrating real-world data and clinical subgroups.

European radiology experimental
BACKGROUND: Manufacturer-defined AI thresholds for chest x-ray (CXR) often lack customization options. Threshold optimization strategies utilizing users' clinical real-world data along with pathology-enriched validation data may better address subgro...

Reporting Guideline for Chatbot Health Advice Studies: Chatbot Assessment Reporting Tool (CHART) Statement.

Annals of family medicine
The Chatbot Assessment Reporting Tool (CHART) is a reporting guideline developed to provide reporting recommendations for studies evaluating the performance of chatbots driven by generative artificial intelligence when summarizing clinical evidence a...

Assessing the performance of ChatGPT in medical ethical decision-making: a comparative study with USMLE-based scenarios.

Journal of medical ethics
INTRODUCTION: The integration of artificial intelligence (AI) into healthcare introduces innovative possibilities but raises ethical, legal and professional concerns. Assessing the performance of AI in core components of the United States Medical Lic...

Give us a hand, mate! A holistic review of research on human-machine teaming.

BMJ military health
Defence has a significant interest in the use of artificial intelligence (AI)-based technologies to address some of the challenges it faces. At the core of future military advantage will be the effective integration of humans and AI into human-machin...

Harnessing interpretable novel combination of GloVe embedding with deep CNN-BiLSTM neural network for fake news detection.

PloS one
The important issue of fake news to society is how it affects how society runs in terms of decision-making and public perception. Hence, this study is a comparative analysis of innovative hybrid deep learning models and embedding techniques focusing ...

Comparative analysis of AI and expert evaluations in engineering design pedagogy.

PloS one
BACKGROUND: Integrating engineering design processes into science education has become a significant priority in STEM instruction. However, many science teachers face difficulties incorporating these processes due to limited pedagogical expertise. Ge...

Prediction of polycystic ovary syndrome using machine learning with SFS and Boruta feature selection: an explainable AI approach.

Systems biology in reproductive medicine
Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting numerous women of reproductive age, characterized by a variety of clinical and biochemical features. Accurate classification and diagnosis of PCOS remains challenging due to t...

Harnessing AI for precision medicine and its applications in genomics, systems pharmacology, and drug discovery.

European journal of pharmacology
Artificial intelligence and machine learning are revolutionizing pharmaceutical research by enabling the rapid analysis of complex datasets and automating critical tasks throughout the drug-development process. In this review, we surveyed how artific...

AI-Based Algorithm to Detect Heart and Lung Disease From Acute Chest Computed Tomography Scans: Protocol for an Algorithm Development and Validation Study.

JMIR research protocols
BACKGROUND: Dyspnea is a common cause of hospitalization, posing diagnostic challenges among older adult patients with multimorbid conditions. Chest computed tomography (CT) scans are increasingly used in patients with dyspnea and offer superior diag...