AIMC Topic: Artificial Intelligence

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Deep Learning Approaches with Digital Mammography for Evaluating Breast Cancer Risk, a Narrative Review.

Tomography (Ann Arbor, Mich.)
Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screening regimens and clinical breast cancer risk assessment models use risk factors such as demographics and patient history to guide policy and assess ris...

Machine and deep learning for modelling heat-health relationships.

The Science of the total environment
Extreme heat events pose a significant threat to population health that is amplified by climate change. Traditionally, statistical models have been used to model heat-health relationships, but they do not consider potential interactions between tempe...

Artificial Intelligence for Computer-Aided Drug Discovery.

Drug research
The continuous implementation of Artificial Intelligence (AI) in multiple scientific domains and the rapid advancement in computer software and hardware, along with other parameters, have rapidly fuelled this development. The technology can contribut...

Black-box assisted medical decisions: AI power vs. ethical physician care.

Medicine, health care, and philosophy
I raise an ethical problem with physicians using "black box" medical AI algorithms, arguing that its use would compromise proper patient care. Even if AI results are reliable, my contention is that without being able to explain medical decisions to p...

Surgical Sealant with Integrated Shape-Morphing Dual Modality Ultrasound and Computed Tomography Sensors for Gastric Leak Detection.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Postoperative anastomotic leaks are the most feared complications after gastric surgery. For diagnostics clinicians mostly rely on clinical symptoms such as fever and tachycardia, often developing as a result of an already fully developed, i.e., symp...

Socially intelligent machines that learn from humans and help humans learn.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
A hallmark of human intelligence is the ability to understand and influence other minds. Humans engage in inferential social learning (ISL) by using commonsense psychology to learn from others and help others learn. Recent advances in artificial inte...

Understanding computational dialogue understanding.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
In this paper, we first explain why human-like dialogue understanding is so difficult for artificial intelligence (AI). We discuss various methods for testing the understanding capabilities of dialogue systems. Our review of the development of dialog...

How could we make a social robot? A virtual bargaining approach.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
What is required to allow an artificial agent to engage in rich, human-like interactions with people? I argue that this will require capturing the process by which humans continually create and renegotiate 'bargains' with each other. These hidden neg...