AIMC Topic: Artificial Intelligence

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Automatic identification of clinically important species by artificial intelligence-based image recognition: proof-of-concept study.

Emerging microbes & infections
While morphological examination is the most widely used for identification in clinical laboratories, PCR-sequencing and MALDI-TOF MS are emerging technologies in more financially-competent laboratories. However, mycological expertise, molecular biol...

Contemporary, non-invasive imaging diagnosis of chronic coronary artery disease.

Lancet (London, England)
Coronary artery disease is one of the leading causes of morbidity and mortality worldwide. Although it can present with an acute coronary syndrome, it is often characterised by long periods of stability, known as chronic coronary artery disease. This...

Artificial intelligence-based flow cytometry for the diagnosis of B-cell chronic lymphoproliferative disorders.

Blood advances
Accurate diagnosis of B-cell chronic lymphoproliferative disorders (B-CLPDs) remains challenging due to overlapping phenotypes across subtypes. Machine learning (ML) offers promising tools to improve marker evaluation and refine flow cytometry analys...

Artificial intelligence compared with traditional methods of generating dermatology consultation letters: a pilot study comparing accuracy, readability and efficiency.

Clinical and experimental dermatology
BACKGROUND: In medical practice, clinic letters are essential for accurately documenting patient discussions, diagnoses and management plans. Traditionally, this involves a clinician dictating a summary after a consultation, which is transcribed by a...

Assessment of ChatGPT-3.5 performance on the medical genetics specialist exam.

Laboratory medicine
INTRODUCTION: Artificial intelligence is increasingly used in medical education and testing. ChatGPT, developed by OpenAI, has shown mixed results on various medical exams, but its performance in medical laboratory genetics remains unknown.

[Impacts and implications of conversational artificial intelligence tools in hematology: a critical evaluation of performance and patient perception].

Annales de biologie clinique
Large Language Models (LLMs), such as ChatGPT, Gemini, and Copilot, are generating growing interest for their ability to produce accessible medical responses. In hematology, a discipline focused on the interpretation of complex test results, these to...

Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study.

European heart journal
BACKGROUND AND AIMS: Valvular heart disease (VHD) is a significant source of morbidity and mortality, though early intervention can improve outcomes. This study aims to develop artificial intelligence-enhanced electrocardiography (AI-ECG) models to d...

Application of real-time artificial intelligence to cataract surgery.

The British journal of ophthalmology
BACKGROUND/AIMS: Artificial intelligence (AI) in Ophthalmology has yet to be applied to real-time cataract surgery. This work explores a new AI tool, developed for phacoemulsification, and evaluates its potential uses.First, our study aimed to demons...

Generation of multidisease fundus photographs with code-free platform.

The British journal of ophthalmology
PURPOSE: To generate fundus photographs of multiple kinds of retinal disease, bypassing the requirement of coding technique.

AI-enhanced telemedicine for personalized antiretroviral therapy in HIV patients with neurological comorbidities: a narrative review.

Postgraduate medical journal
BACKGROUND: Human immunodeficiency virus (HIV), while now manageable as a chronic health condition with highly active antiretroviral therapy (HAART), often precipitates the onset of neurological comorbidities such as HIV-associated neurocognitive dis...