⌚ Personal Narrative: Relapse Of Colorectal Cancer
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Shaye Dunn's Story - Fight Colorectal Cancer
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Potential liability for physicians using artificial intelligence. Briganti G. Le Specialiste. Google Scholar. Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: the apple heart study. Ame Heart J. Apple watch, wearables, and heart rhythm: where do we stand? Ann Trans Med. MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records. J Biomed Inform. Analysis of machine learning techniques for heart failure readmissions. Circ Cardiovasc Qual Outcomes. Applications of artificial intelligence in cardiology. The future is already here. Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests.
Eur Respirat J. Delclaux C. No need for pulmonologists to interpret pulmonary function tests. Patients' and caregivers' experiences of using continuous glucose monitoring to support diabetes self-management: qualitative study. BMC Endocrine Disord. Accuracy of a fourth-generation subcutaneous continuous glucose sensor. Diabet Technol Therapeut. An artificial neural network can select patients at high risk of developing progressive IgA nephropathy more accurately than experienced nephrologists.
Nephrol Dialysis, Transplant. PubMed Abstract Google Scholar. Niel O, Bastard P. Artificial intelligence in nephrology: core concepts, clinical applications, and perspectives. Am J Kidney Dis. Application of artificial intelligence in gastroenterology. World J Gastroenterol. Exploring the clinical potential of an automatic colonic polyp detection method based on the creation of energy maps. Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely on the basis of clinical data. Eur J Gastroenterol Hepatol. Possible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis.
Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Prediction of survival in patients with esophageal carcinoma using artificial neural networks. Seasonal variation in onset and relapse of IBD and a model to predict the frequency of onset, relapse, and severity of IBD based on artificial neural network. Int J Colorect Dis. Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer. Support vector machine-based nomogram predicts postoperative distant metastasis for patients with oesophageal squamous cell carcinoma. Br J Cancer. Multimodal wrist-worn devices for seizure detection and advancing research: focus on the Empatica wristbands.
Epilep Res. Wearable technology in epilepsy: the views of patients, caregivers, and healthcare professionals. Epilep Behav. Teleneurology and mobile technologies: the future of neurological care. Nat Rev Neurol. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. Lancet Digit Health. NPJ Digit Med. Key challenges for delivering clinical impact with artificial intelligence.
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