AIMC Topic: Humans

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Deep learning-based classification and spatial prognosis risk score on whole-slide images of lung adenocarcinoma.

Histopathology
AIMS: Classification of histological patterns in lung adenocarcinoma (LUAD) is critical for clinical decision-making, especially in the early stage. However, the inter- and intraobserver subjectivity of pathologists make the quantification of histolo...

Pneumothorax prediction using a foraging and hunting based ant colony optimizer assisted support vector machine.

Computers in biology and medicine
Although PNLB is generally considered safe, it is still invasive and risky. Pneumothorax, the most common complication of lung puncture, can cause shortness of breath, chest pain, and even life-threatening. Therefore, the auxiliary diagnosis for pneu...

Can deep learning on retinal images augment known risk factors for cardiovascular disease prediction in diabetes? A prospective cohort study from the national screening programme in Scotland.

International journal of medical informatics
AIMS: This study's objective was to evaluate whether deep learning (DL) on retinal photographs from a diabetic retinopathy screening programme improve prediction of incident cardiovascular disease (CVD).

The Potential of GPT-4 as an AI-Powered Virtual Assistant for Surgeons Specialized in Joint Arthroplasty.

Annals of biomedical engineering
The emergence of artificial intelligence (AI) offers unprecedented opportunities for joint arthroplasty surgery. Notably, on 14th March, 2023, the OpenAI company officially launched its latest version GPT-4, which once again become the focus of discu...

Relating process and outcome metrics for meaningful and interpretable cannulation skill assessment: A machine learning paradigm.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: The quality of healthcare delivery depends directly on the skills of clinicians. For patients on hemodialysis, medical errors or injuries caused during cannulation can lead to adverse outcomes, including potential death. To...

Remix: Towards the transferability of adversarial examples.

Neural networks : the official journal of the International Neural Network Society
Deep neural networks (DNNs) are susceptible to adversarial examples, which are crafted by deliberately adding some human-imperceptible perturbations on original images. To explore the vulnerability of models of DNNs, transfer-based black-box attacks ...

Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
In the era of big data and artificial intelligence (AI), advanced data storage and processing technologies are in urgent demand. The innovative neuromorphic algorithm and hardware based on memristor devices hold a promise to break the von Neumann bot...

Artificial Intelligence-Based Quantitative Structure-Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity.

Molecular pharmaceutics
Oral medicines represent the largest pharmaceutical market area. To achieve a therapeutic effect, a drug must penetrate the intestinal walls, the main absorption site for orally delivered active pharmaceutical ingredients (APIs). Indeed, predicting d...

Machine learning prediction of mortality in Acute Myocardial Infarction.

BMC medical informatics and decision making
BACKGROUND: Acute Myocardial Infarction (AMI) is the leading cause of death in Portugal and globally. The present investigation created a model based on machine learning for predictive analysis of mortality in patients with AMI upon admission, using ...