200th Anniversary of the Beginning of Clinical Application of the Laennec's Stethoscope in 1819.

Acta Med Hist Adriat

Clinical Department for Diagnostic Radiology, Clinical-Hospital Centre Rijeka, Krešimirova 42, 51000 Rijeka, Croatia.

Published: July 2019

Although stethoscope was invented by French physician René-Théophile-Hyacinthe Laennec (1781-1826) in 1816, its wider clinical application started only after the publication of his book entitled De l'Auscultation Médiate ou Traité, du Diagnostic des Maladies des Poumons et du Coeur in 1819. Its invention coincided with the development of the 'hospital medicine' in the post-revolutionary Paris during the first quarter of the 19th century. It has enabled then contemporary physicians to explain the correlation between the patient symptoms and the clinical findings and thus has helped the shift from the humoral pathology towards the solitary pathology.

Download full-text PDF

Source

Publication Analysis

Top Keywords

clinical application
8
200th anniversary
4
anniversary clinical
4
application laennec's
4
laennec's stethoscope
4
stethoscope 1819
4
1819 stethoscope
4
stethoscope invented
4
invented french
4
french physician
4

Similar Publications

A nationwide cross-sectional study in Saudi Arabia for the assessment of understanding and practices of clinicians towards personalized genetic testing.

Sci Rep

December 2024

Medical Genomics Research Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.

In order to plan and facilitate the culture of personalized / precision medicine in medical practices within any healthcare institution, it is requisite for healthcare professionals like clinicians to have a clear understanding and approach towards the practices of personalized genetic testing. This nationwide cross-sectional study aimed to measure the perceptions and knowledge of clinicians towards personalized genetic testing and assess their current practices of personalized genetic testing in clinical settings through an online self-administered questionnaire in Saudi Arabia. The results of the study revealed that almost two-fifths of participants were responsible for ordering genetic tests directly (39.

View Article and Find Full Text PDF

A sterilization method for human decellularized vaginal matrices.

Sci Rep

December 2024

Department of Medical Microbiology and Infection Prevention, Amsterdam UMC - Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.

Vaginal reconstruction is necessary for various congenital and acquired conditions, including vaginal aplasia, trauma, tumors, and gender incongruency. Current surgical and non-surgical treatments often result in significant complications. Decellularized vaginal matrices (DVMs) from human tissue offer a promising alternative, but require effective sterilization to ensure safety and functionality.

View Article and Find Full Text PDF

Using Fourier Transform Infrared spectroscopy (FTIR), it is possible to show chemical composition of materials and / or profile chemical changes occurring in tissues, cells, and body fluids during onset and progression of diseases. For diagnostic application, the use of blood would be the most appropriate in biospectroscopy studies since, (i) it is easily accessible and, (ii) enables frequent analyses of biochemical changes occurring in pathological states. At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR.

View Article and Find Full Text PDF

Warfarin is the most widely used oral anticoagulant in clinical practice. The cytochrome P450 2C9 (CYP2C9), vitamin K epoxide reductase complex 1 (VKORC1), and cytochrome P450 4F2 (CYP4F2) genotypes are associated with warfarin dose requirements in China. Accurate genotyping is vital for obtaining reliable genotype-guided warfarin dosing information.

View Article and Find Full Text PDF

This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!