Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial
"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com
AI can tell which chateau Bordeaux wines come from with 100% accuracy
A machine-learning algorithm was able to tell which estate 80 Bordeaux red wines came from with 100 per cent accuracy by assessing their chemical signatures
Source: newscientist.com
Clinically contextualised ECG interpretation: the impact of prior clinical exposure and case vignettes on ECG diagnostic
Does teaching ECGs with a clinical vignette improve training? Not greatly ... but having seen a condition previously (and presumably the ECG that went with it) is probably best. The researchers concluded that "ECG training should therefore not rely on experiential learning
alone, but instead be supplemented...
Source: biomedcentral.com
The role of motivational profiles in learning problem-solving and self-assessment skills with video modeling examples Lisette
In the current study, we examine the role of situation-specific motivational profiles in the effectiveness of video modeling examples for learning problem-solving and self-assessment accuracy in the domain of biology. A sample of 342 secondary school students participated in our study. Latent profile...
Source: springer.com
A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study - PubMed JMIR medical
The findings of our study showed that by assessing clinical images, the CNN system in our study could identify rosacea with accuracy and precision comparable to that of an experienced dermatologist.
Source: nih.gov
AI uses "ugly duckling" technique to spot melanoma with high accuracy
"Artificial intelligence is starting to combine with smartphone technology in ways that could have profound impacts on the way we monitor health, from tracking blood volume changes in diabetics to detecting concussions by filming the eyes." "Using the technology to spot melanoma in its early stages is...
Source: newatlas.com
11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological
11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to provide greatly reduced parametric complexity...
Source: nature.com
A deep learning system for differential diagnosis of skin diseases - PubMed: Skin conditions affect 1.9 billion people.
A deep learning system for differential diagnosis of skin diseases - PubMed: Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential...
Source: nih.gov
New Steps to Combat Disinformation - Microsoft on the Issues: Today, Microsoft announces two new technologies to help battle
New Steps to Combat Disinformation - Microsoft on the Issues: Today, Microsoft announces two new technologies to help battle disinformation – Newsguard, which will allow users to check the accuracy of the content they are reading, and Video Authenticator, which can detect deepfakes and other synthetic...
Source: microsoft.com
Our itch to share helps spread Covid-19 misinformation
Our itch to share helps spread Covid-19 misinformation: Study finds social media sharing affects news judgment, but a quick exercise reduces the problem. Peter Dizikes | MIT News Office.
‘The study follows others Rand and Pennycook have conducted about explicitly political news, which similarly...
Source: mit.edu
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems: Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for...
Source: nature.com
Efficacy and effectiveness of screen and treat policies in prevention of type 2 diabetes: systematic review and meta-analysis
Efficacy and effectiveness of screen and treat policies in prevention of type 2 diabetes: systematic review and meta-analysis of screening tests and interventions: Objectives To assess diagnostic accuracy of screening tests for pre-diabetes and efficacy of interventions (lifestyle or metformin) in...
Source: bmj.com
New analysis shows Lamar Smith’s accusations on climate data are wrong
New analysis shows Lamar Smith’s accusations on climate data are wrong
Source: arstechnica.com
Machine Learning Detects Diabetic Retinopathy with High Accuracy: By Joe Elia Edited by David G. Fairchild, MD, MPH, and
Machine Learning Detects Diabetic Retinopathy with High Accuracy: By Joe Elia
Edited by David G. Fairchild, MD, MPH, and Lorenzo Di Francesco, MD, FACP, FHM
A computer algorithm, based on "deep machine learning," evaluated retinal fundus photographs for … NEJM Journal Watch.
Source: jwatch.org
Smartphone-Based Visual Acuity Measurement for Screening and Clinical Assessment: This commentary discusses a study published
Smartphone-Based Visual Acuity Measurement for Screening and Clinical Assessment: This commentary discusses a study published in JAMA Ophthalmology that describes the accuracy of a smartphone-based visual acuity test for detecting visual impairment in rural Kenya. Christopher J. Brady. Allen O. Eghrari....
Source: jamanetwork.com
3-D printing provides low-cost alternative in bronchoscopy simulation training: Researchers from Beth Israel Deaconess Medical
3-D printing provides low-cost alternative in bronchoscopy simulation training: Researchers from Beth Israel Deaconess Medical Center in Boston, Massachusetts, found that 3D-printed tracheobronchial tree models compared favorably against other more standard models in training pulmonary physicians to...
Source: medicalxpress.com
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