Disease classification of complex and heterogenous diseases, such as acute myeloid leukaemia (AML), is continuously updated to define diagnoses, appropriate treatments, and assist research and education. Recent availability of molecular profiling techniques further benefits the classification of AML. The World Health Organization (WHO) classification of haematolymphoid tumours and the International Consensus Classification of myeloid neoplasms and acute leukaemia from 2022 are two updated versions of the WHO 2016 classification. As a consequence, the European LeukemiaNet 2022 recommendations on the diagnosis and management of AML in adults have been also updated. The current review provides a practical interpretation of these guidelines to facilitate the diagnosis of AML and discusses genetic testing, disease genetic heterogeneity, and FLT3 mutations. We propose a practical algorithm for the speedy diagnosis of AML. Future classifications may need to incorporate gene mutation combinations to enable personalised treatment regimens in the management of patients with AML.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.critrevonc.2024.104358 | DOI Listing |
Front Pharmacol
December 2024
Department of Clinical Psychology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Background: Deutetrabenazine is a widely used drug for the treatment of tardive dyskinesia (TD), and post-marketing testing is important. There is a lack of real-world, large-sample safety studies of deutetrabenazine. In this study, a pharmacovigilance analysis of deutetrabenazine was performed based on the FDA Adverse Event Reporting System (FAERS) database to evaluate its relevant safety signals for clinical reference.
View Article and Find Full Text PDFFront Artif Intell
December 2024
Department of Orthopedic Hip and Knee Surgery, Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
Background: Total Hip Arthroplasty (THA) is a transformative surgical intervention for hip joint disorders, necessitating meticulous preoperative planning for optimal outcomes. With the emergence of Artificial Intelligence (AI), preoperative planning paradigms have evolved, leveraging AI algorithms for enhanced decision support and imaging analysis. This systematic review aims to comprehensively evaluate the role of AI in THA preoperative planning, synthesizing evidence from studies exploring various AI techniques and their applications.
View Article and Find Full Text PDFFront Digit Health
December 2024
Faculty of Engineering and Computing, Liwa College, Abu Dhabi, United Arab Emirates.
The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties.
View Article and Find Full Text PDFStudy Question: Do recent changes in European Society of Human Reproduction and Embryology (ESHRE) clinical guidelines result in more comprehensive diagnosis of women with endometriosis?
Summary Answer: The latest shift in clinical guidelines results in diagnosis of more women with endometriosis but current ESHRE diagnostic criteria do not capture a sizable percentage of women with the disease.
What Is Known Already: Historically, laparoscopy was the gold standard for diagnosing endometriosis, a complex gynecological condition marked by a heterogeneous set of symptoms that vary widely among women. More recently, changes in clinical guidelines have shifted to incorporate imaging-based approaches such as transvaginal sonography and magnetic resonance imaging.
Scand J Trauma Resusc Emerg Med
January 2025
Faculty of Pre-Hospital Care, Royal College of Surgeons Edinburgh, Edinburgh, UK.
Background: Road traffic injury is the leading cause of death among young people globally, with motor vehicle collisions often resulting in severe injuries and entrapment. Traditional extrication techniques focus on limiting movement to prevent spinal cord injuries, but recent findings from the EXIT project challenge this approach. This paper presents updated recommendations from the Faculty of Pre-Hospital Care (FPHC) that reflect the latest evidence on extrication practices.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!