AIMC Topic: Humans

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Artificial intelligence and deep learning to map immune cell types in inflamed human tissue.

Journal of immunological methods
Biopsies of inflammatory tissue contain a complex network of interacting cells, orchestrating the immune or autoimmune response. While standard histological examination can identify relationships, it is clear that a great amount of data on each slide...

Group decision making under uncertain preferences: powered by AI, empowered by AI.

Annals of the New York Academy of Sciences
Group decision making is an important, long-standing, and ubiquitous problem in all societies, where collective decisions must be made by a group of agents despite individual conflicting preferences. This has been a classical and active topic for res...

SHIFTing artificial intelligence to be responsible in healthcare: A systematic review.

Social science & medicine (1982)
A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare have emerged as AI becomes increasingly applicable and technologically advanced. The last decade has witnessed significant endeavors in striking a balance b...

Posterior transperitoneal robot-assisted partial nephrectomy in the treatment of renal tumors: Feasibility of a hybrid approach.

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie
PURPOSE: Robot-assisted partial nephrectomy (RAPN) for posterior renal tumors may be performed through anterior (transperitoneal) or posterior (retroperitoneal) approach depending on surgeon's expertise. We propose herein a surgical artifice using da...

Machine learning-based modeling in food processing applications: State of the art.

Comprehensive reviews in food science and food safety
Food processing is a complex, multifaceted problem that requires substantial human interaction to optimize the various process parameters to minimize energy consumption and ensure better-quality products. The development of a machine learning (ML)-ba...

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 ...

Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases.

Journal of neuro-oncology
PURPOSE: Non-small cell lung cancer (NSCLC) tends to metastasize to the brain. Between 10 and 60% of NSCLCs harbor an activating mutation in the epidermal growth-factor receptor (EGFR), which may be targeted with selective EGFR inhibitors. However, d...

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...

Multifaceted Engineered Biomimetic Nanorobots Toward Cancer Management.

ACS biomaterials science & engineering
The noteworthy beneficiary to date in nanotechnology is cancer management. Nanorobots are developed as the result of advancements in the nanostructure, robotics, healthcare, and computer systems. These devices at the nanoscale level are beneficial in...

From Perception to Navigation in Environments with Persons: An Indoor Evaluation of the State of the Art.

Sensors (Basel, Switzerland)
Research in the field of social robotics is allowing service robots to operate in environments with people. In the aim of realizing the vision of humans and robots coexisting in the same environment, several solutions have been proposed to (1) percei...