AIMC Topic: Artificial Intelligence

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[The role of vendors in the democratization of AI-challenges and collaboration in the application of image analysis technology to drug discovery processes].

Nihon yakurigaku zasshi. Folia pharmacologica Japonica
We are living in an era in which AI technology has become widely available and accessible to many people. The field of drug discovery is no exception, and many pharmaceutical companies have actually begun to utilize AI technology in drug discovery re...

Current and Future Applications of Artificial Intelligence to Diagnose and Treat Male Infertility.

Advances in experimental medicine and biology
Artificial intelligence (AI) models are being increasingly applied to modern medicine. Within the field of urology, reproductive urology specifically offers many opportunities to utilize this advanced computational technology for diagnostic and thera...

Digital transformation in healthcare management: from Artificial Intelligence to blockchain.

Wiadomosci lekarskie (Warsaw, Poland : 1960)
The digital transformation of healthcare is revolutionizing the management of medical institutions, improving operational efficiency, patient outcomes, and data security. With the increasing complexity of healthcare systems, the integration of cuttin...

Microbial infection disease diagnosis and treatment by artificial intelligence.

Wiadomosci lekarskie (Warsaw, Poland : 1960)
OBJECTIVE: Aim: The main objective of this study was to examine current perspectives on initiatives to identify viable approaches for more accurate diagnosis of infectious diseases.

Artificial Intelligence in Endoscopy for Predicting Helicobacter pylori Infection: A Systematic Review and Meta-Analysis.

Helicobacter
PURPOSE: This meta-analysis aimed to assess the diagnostic performance of artificial intelligence (AI) based on endoscopy for detecting Helicobacter pylori (H. pylori) infection.

Artificial Intelligence in the Service of Medicine: Current Solutions and Future Perspectives, Opportunities, and Challenges.

La Clinica terapeutica
OBJECTIVE: This article aims to identify the opportunities and risks of Artificial Intelligence tools (AIT) applied to clinical practice, while also reflecting on their impact on the doctor-patient relationship.

Single and Multi-Objective Optimization of the Red Pine Mushroom Lactarius deliciosus (Agaricomycetes) Extraction Conditions Using Artificial Intelligence Methods and Biological Activities of Optimized Extracts.

International journal of medicinal mushrooms
In this study, the biological activities of Lactarius deliciosus were determined. Experimental studies were carried out using a soxhlet device, in the range of 40-70°C extraction temperature, 3-9 h extraction time and 0.5-2 mg/ ml extraction conditio...

Systematic Review of Radiomics and Artificial Intelligence in Intracranial Aneurysm Management.

Journal of neuroimaging : official journal of the American Society of Neuroimaging
Intracranial aneurysms, with an annual incidence of 2%-3%, reflect a rare disease associated with significant mortality and morbidity risks when ruptured. Early detection, risk stratification of high-risk subgroups, and prediction of patient outcomes...

AI-driven report-generation tools in mental healthcare: A review of commercial tools.

General hospital psychiatry
Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including for AI-powered note-writing. We aimed to develop and apply a scale for assessing mental health electronic health records (EHRs) that use large language...

[From AI to polygenic risk scores: which innovations will shape the future of psychiatry?].

Tijdschrift voor psychiatrie
BACKGROUND: In recent years, developments have been made in various research domains, from treatments with (es)ketamine to large-scale genome-wide association studies (GWAS).