This paper reports a controlled prospective unselected real-time comparison of human and computer-aided diagnosis in a series of 304 patients suffering from abdominal pain of acute onset.The computing system's overall diagnostic accuracy (91.8%) was significantly higher than that of the most senior member of the clinical team to see each case (79.6%). It is suggested as a result of these studies that the provision of such a system to aid the clinician is both feasible in a real-time clinical setting, and likely to be of practical value, albeit in a small percentage of cases.
Computer-aided diagnosis: description of an adaptable system, and operational experience with 2,034 cases
Diagnostic score in acute appendicitis. Validation of a diagnostic score (Lintula score) for adults with suspected appendicitis
Some observations on the development of a 'scoring system' in an expert system for prediction of ovulation
Acute appendicitis in patients over the age of 65 years; comparison of clinical and computer based decision making
Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain. Acute Abdominal Pain Study Group
Computerized clinical decision support: a technology to implement and validate evidence based guidelines
ISABEL: a web-based differential diagnostic aid for paediatrics: results from an initial performance evaluation
Development and validation of a computer program using Bayes's theorem to support diagnosis of rheumatic disorders
Randomised controlled trial of ultrasonography in diagnosis of acute appendicitis, incorporating the Alvarado score
Ultrasonography in diagnosis of acute appendicitis. Active observation is often sufficient to make diagnosis
Measuring the impact of diagnostic decision support on the quality of clinical decision making: development of a reliable and valid composite score
Evaluation of a computerized diagnostic decision support system for patients with pneumonia: study design considerations
Appendicitis: evaluation of sensitivity, specificity, and predictive values of US, Doppler US, and laboratory findings
Hospital observation for right lower quadrant abdominal pain with questionable acute appendicitis in children
Psychological factors in patients with non-specific abdominal pain acutely admitted to a general surgical ward
Deep assessment of machine learning techniques using patient treatment in acute abdominal pain in children
Do information systems improve the quality of clinical research? Results of a randomized trial in a cooperative multi-institutional cancer group
Human versus machine: a comparison of a computer 'expert system' with human experts in the diagnosis of vaginal discharge
The value of history-taking, physical examination, and computer assistance in the diagnosis of acute appendicitis in patients more than 50 years old
Contributions of history-taking, physical examination, and computer assistance to diagnosis of acute small-bowel obstruction. A prospective study of 1333 patients with acute abdominal pain
The historical development of the concepts of diagnosis and prognosis and their relationship to probabilistic inference
Randomized clinical trial of the 2 mg hydromorphone bolus protocol versus the "1+1" hydromorphone titration protocol in treatment of acute, severe pain in the first hour of emergency department presentation
Randomized clinical trial comparing the safety and efficacy of a hydromorphone titration protocol to usual care in the management of adult emergency department patients with acute severe pain
Novel solutions for an old disease: diagnosis of acute appendicitis with random forest, support vector machines, and artificial neural networks
Randomized clinical trial comparing a patient-driven titration protocol of intravenous hydromorphone with traditional physician-driven management of emergency department patients with acute severe pain
Prospective evaluation of the MET-AP system providing triage plans for acute pediatric abdominal pain
Evaluating Multimembership Classifiers: A Methodology and Application to the MEDAS Diagnostic System
Analysis of historical variables, risk factors and the resting electrocardiogram as an aid in the clinical diagnosis of recurrent chest pain
Removing the assumption of conditional independence from Bayesian decision models by using artificial neural networks: some practical techniques and a case study
Efficacy of an Acute Pain Titration Protocol Driven by Patient Response to a Simple Query: Do You Want More Pain Medication?
Hyperbilirubinaemia in appendicitis: the diagnostic value for prediction of appendicitis and appendiceal perforation
Upper gastrointestinal tract bleeding: assessing the diagnostic contributions of the history and clinical findings
Physician evaluation after medical errors: does having a computer decision aid help or hurt in hindsight?
The contribution of transvaginal ultrasound in the diagnosis of acute appendicitis: an observational study
Clinical decision making and laparoscopy versus computer prediction in the management of the acute abdomen
Fuzzy logic-based clinical decision support system for the evaluation of renal function in post-Transplant Patients
Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance.
Management of ocular hypertension and open angle glaucoma: clinical practice and computer-assisted decision-making
Positive Oral Contrast Solution at MDCT for Suspected Acute Appendicitis in Adults: Rate of Appendiceal Luminal Filling of Normal and Inflamed Appendixes
Spontaneous rectus sheath hematoma presenting with acute abdominal pain: a case series and review of the literature
The role of the emergency medicine resident using the Alvarado score in the diagnosis of acute appendicitis compared with the general surgery resident
Initiative on medical decision-making of the Biomedical Engineering Group (COMAC-BME) of the European Community
Surgical emergencies in Ireland. An audit of the emergency surgical caseload of an Irish district general hospital
CORR Synthesis: When Should the Orthopaedic Surgeon Use Artificial Intelligence, Machine Learning, and Deep Learning?
Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.
Evolution of Pluripotency
Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.
Lipidomics & Rhinovirus Infection
Lipidomics can be used to examine the lipid species involved with pathogenic conditions, such as viral associated inflammation. Discovered the latest research on Lipidomics & Rhinovirus Infection.
Glut1 deficiency, an autosomal dominant, genetic metabolic disorder associated with a deficiency of GLUT1, the protein that transports glucose across the blood brain barrier, is characterized by mental and motor developmental delays and infantile seizures. Follow the latest research on Glut1 deficiency with this feed.
Chronic Fatigue Syndrome
Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.
Alzheimer's Disease: MS4A
Variants within the membrane-spanning 4-domains subfamily A (MS4A) gene cluster have recently been implicated in Alzheimer's disease in genome-wide association studies. Here is the latest research on Alzheimer's disease and MS4A.
STING Receptor Agonists
Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.
Laryngeal Neoplasms occur in the Larynx and are typically associated with smoking and alcohol consumption. Discover the latest research on Laryngeal Neoplasms here.
Cell Atlas Along the Gut-Brain Axis
Profiling cells along the gut-brain axis at the single cell level will provide unique information for each cell type, a three-dimensional map of how cell types work together to form tissues, and insights into how changes in the map underlie health and disease of the GI system and its crosstalk with the brain. Disocver the latest research on single cell analysis of the gut-brain axis here.