AIMC Topic: Artificial Intelligence

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Quality in MR reporting of the prostate – improving acquisition, the role of AI and future perspectives.

The British journal of radiology
The high quality of MRI reporting of the prostate is the most critical component of the service provided by a radiologist. Prostate MRI structured reporting with PI-RADS v. 2.1 has been proven to improve consistency, quality, guideline-based care in ...

Has DeepMind's AlphaFold solved the protein folding problem?

BioTechniques
DeepMind released AlphaFold 2.0 in 2020, an artificial intelligence model to predict the structure of proteins, which could mean that proteins can be characterized without the need for tedious and costly lab analysis.

Artificial intelligence and melanoma: A comprehensive review of clinical, dermoscopic, and histologic applications.

Pigment cell & melanoma research
Melanoma detection, prognosis, and treatment represent challenging and complex areas of cutaneous oncology with considerable impact on patient outcomes and healthcare economics. Artificial intelligence (AI) applications in these tasks are rapidly dev...

Developing Affordable, Portable and Simplistic Diagnostic Sensors to Improve Access to Care.

Sensors (Basel, Switzerland)
Ophthalmology is a highly technical specialty, especially in the area of diagnostic equipment. While the field is innovative, the access to cutting-edge technology is limited with reference to the global population. A significant way to improve overa...

Artificial Intelligence Technology-Based Medical Information Processing and Emergency First Aid Nursing Management.

Computational and mathematical methods in medicine
This study was aimed at exploring the new management mode of medical information processing and emergency first aid nursing management under the new artificial intelligence technology. This study will use the artificial intelligence algorithm to opti...

The fourth industrial revolution in the food industry-Part I: Industry 4.0 technologies.

Critical reviews in food science and nutrition
Climate change, the growth in world population, high levels of food waste and food loss, and the risk of new disease or pandemic outbreaks are examples of the many challenges that threaten future food sustainability and the security of the planet and...

Quantitative features to assist in the diagnostic assessment of chronic lymphocytic leukemia progression.

The Journal of pathology
The use of artificial intelligence methods in the image-based diagnostic assessment of hematological diseases is a growing trend in recent years. In these methods, the selection of quantitative features that describe cytological characteristics plays...

Fully automated volumetric measurement of malignant pleural mesothelioma by deep learning AI: validation and comparison with modified RECIST response criteria.

Thorax
BACKGROUND: In malignant pleural mesothelioma (MPM), complex tumour morphology results in inconsistent radiological response assessment. Promising volumetric methods require automation to be practical. We developed a fully automated Convolutional Neu...