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Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study

期刊: LANCET DIGITAL HEALTH, 2022; 4 (8)

Background A large training dataset with high-quality annotations is necessary for building an accurate and generalisable deep learning system, which ......

Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study

期刊: LANCET DIGITAL HEALTH, 2022; 4 (3)

Background Ultrasound is a critical non-invasive test for preoperative diagnosis of ovarian cancer. Deep learning is making advances in image-recognit......

Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study

期刊: LANCET DIGITAL HEALTH, 2022; 4 (5)

Background Epidermal growth factor receptor (EGFR) genotype is crucial for treatment decision making in lung cancer, but it can be affected by tumour ......

A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study

期刊: LANCET DIGITAL HEALTH, 2022; 4 (11)

Background There is no simple model to screen for Alzheimer's disease, partly because the diagnosis of Alzheimer's disease itself is complex-typically......

Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study

期刊: LANCET DIGITAL HEALTH, 2022; 4 (1)

Background Accurate prediction of tumour response to neoadjuvant chemoradiotherapy enables personalised perioperative therapy for locally advanced rec......

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study

期刊: LANCET DIGITAL HEALTH, 2022; 4 (5)

Background Peritoneal recurrence is the predominant pattern of relapse after curative-intent surgery for gastric cancer and portends a dismal prognosi......

Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study

期刊: LANCET DIGITAL HEALTH, 2021; 3 (5)

Background By 2050, almost 5 billion people globally are projected to have myopia, of whom 20% are likely to have high myopia with clinically signific......

Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study

期刊: LANCET DIGITAL HEALTH, 2021; 3 (8)

Background Medical artificial intelligence (AI) has entered the clinical implementation phase, although real-world performance of deep-learning system......

Associations between changes in population mobility in response to the COVID-19 pandemic and socioeconomic factors at the city level in China and country level worldwide: a retrospective, observational study

期刊: LANCET DIGITAL HEALTH, 2021; 3 (6)

Background Until broad vaccination coverage is reached and effective therapeutics are available, controlling population mobility (ie, changes in the s......

A two-transcript biomarker of host classifier genes for discrimination of bacterial from viral infection in acute febrile illness: a multicentre discovery and validation study

期刊: LANCET DIGITAL HEALTH, 2021; 3 (8)

Methods In this multicentre discovery and validation study, we included patients aged 14-85 years with acute febrile illness (fever for <= 14 days,......

Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study

期刊: LANCET DIGITAL HEALTH, 2021; 3 (4)

Background Strategies for integrating artificial intelligence (AI) into thyroid nodule management require additional development and testing. We devel......

Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

期刊: LANCET DIGITAL HEALTH, 2021; 3 (5)

Background Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that might be valuable in the prognostication of patients with C......

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