AI-Powered Techniques in Anatomical Imaging: Impacts on Veterinary Diagnostics and Surgery

AS Vickram, SS Infant, H Chopra - Annals of Anatomy-Anatomischer …, 2024 - Elsevier
Background Artificial intelligence (AI) is rapidly transforming veterinary diagnostic imaging,
offering improved accuracy, speed, and efficiency in analyzing complex anatomical …

Diagnostic reasoning in internal medicine: a practical reappraisal

GR Corazza, MV Lenti, PD Howdle - Internal and Emergency Medicine, 2021 - Springer
The practice of clinical medicine needs to be a very flexible discipline which can adapt
promptly to continuously changing surrounding events. Despite the huge advances and …

[HTML][HTML] Risk assessment of vascular complications following manual therapy and exercise for the cervical region: diagnostic accuracy of the International Federation …

RF de Best, MW Coppieters, E van Trijffel… - Journal of …, 2023 - Elsevier
Question What is the diagnostic accuracy of the International Federation of Orthopaedic
Manipulative Physical Therapists (IFOMPT) framework to assess the risk of vascular …

Successful outcome after outpatient transforaminal decompression for lumbar foraminal and lateral recess stenosis: The positive predictive value of diagnostic …

KU Lewandrowski - Clinical Neurology and Neurosurgery, 2018 - Elsevier
Objective To analyze the positive predictive value of diagnostic 1% lidocaine containing
transforaminal epidural steroid injections (TESI) for successful outcome after outpatient …

Difficulties with learning musculoskeletal physical examination skills: student perspectives and general lessons learned for curricular design

JC Yu, M Rashid, A Davila-Cervantes… - … and Learning in …, 2022 - Taylor & Francis
Phenomenon: The development of foundational clinical skills, such as physical examination,
is essential to becoming a competent clinician. Musculoskeletal medicine is often …

Intelligence clinique et intelligence artificielle-Une question de nuance

C Matuchansky - médecine/sciences, 2019 - medecinesciences.org
L'intelligence artificielle (IA) actuelle en médecine peut se prévaloir de grandes
performances, particulièrement en analyse d'images à visées diagnostique et pronostique …

Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments

V Vaghani, L Wei, U Mushtaq, DF Sittig… - Journal of the …, 2021 - academic.oup.com
Objective Diagnostic errors are major contributors to preventable patient harm. We validated
the use of an electronic health record (EHR)-based trigger (e-trigger) to measure missed …

Improving diagnostic accuracy using a clinical diagnostic support system for medical students during history-taking: a randomized clinical trial

Y Yanagita, K Shikino, K Ishizuka, S Uchida, Y Li… - BMC Medical …, 2023 - Springer
Background A clinical diagnostic support system (CDSS) can support medical students and
physicians in providing evidence-based care. In this study, we investigate diagnostic …

Computerized history-taking improves data quality for clinical decision-making—Comparison of EHR and computer-acquired history data in patients with chest pain

D Zakim, H Brandberg, S El Amrani, A Hultgren… - Plos one, 2021 - journals.plos.org
Patients' medical histories are the salient dataset for diagnosis. Prior work shows
consistently, however, that medical history-taking by physicians generally is incomplete and …

Operational criteria application does not change clinicians' opinion on the diagnosis of mental disorder: a pre-and post-intervention validity study

HG Rocha Neto, JLM Lessa, LM Koiller… - Frontiers in …, 2024 - frontiersin.org
Objective Our objective was to check if the ICD-10 operational criteria application changes
non-operational, prototype-based diagnoses obtained in a real-life scenario. Methods …