AIMC Topic: Humans

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Machine learning and phone data can improve targeting of humanitarian aid.

Nature
The COVID-19 pandemic has devastated many low- and middle-income countries, causing widespread food insecurity and a sharp decline in living standards. In response to this crisis, governments and humanitarian organizations worldwide have distributed ...

Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.

Journal of healthcare engineering
Toxoplasmosis is a zoonotic illness caused by . Those with a normal immune system normally recover without treatment. Immunocompromised individuals and pregnant women must be treated regularly. Toxoplasmosis is a serious illness that may reactivate i...

A Safe and Compliant Noncontact Interactive Approach for Wheeled Walking Aid Robot.

Computational intelligence and neuroscience
Aiming at promptly and accurately detecting falls and drag-to gaits induced by asynchronous human-robot movement speed during assisted walking, a noncontact interactive approach with generality, compliance and safety is proposed in this paper, and is...

Experimental Research on Badminton Teaching of Physical Education Major Based on Deep Learning in the Multimedia Environment.

Computational intelligence and neuroscience
There are many problems in the routine badminton teaching; there are mainly three aspects in college teaching. One is that the hardware equipment related to badminton is not enough; the second is that the badminton teaching does not meet the educatio...

Application of Da Vinci Robot and Thoracoscopy in Radical Lung Cancer Surgery.

Journal of healthcare engineering
In this article, we have explored the feasibility and safety of Da Vinci's robotic surgery system in the radical resection of lung cancer. For this purpose, 73 cases of patients with lung cancer who underwent radical resection in the thoracic surgery...

Assessment and counseling to get the best efficiency and effectiveness of the assistive technology (MATCH): Study protocol.

PloS one
AIMS: To determine the psychosocial impact of assistive technology(AT) based on robotics and artificial intelligence in the life of people with disabilities.

Ethnicity-Specific Features of COVID-19 Among Arabs, Africans, South Asians, East Asians, and Caucasians in the United Arab Emirates.

Frontiers in cellular and infection microbiology
BACKGROUND: Dubai (United Arab Emirates; UAE) has a multi-national population which makes it exceptionally interesting study sample because of its unique demographic factors.

Robotic Assisted Versus Manual Percutaneous Coronary Intervention: Systematic Review and Meta-Analysis.

Cardiology in review
INTRODUCTION: Robotics in percutaneous coronary intervention (R-PCI) has been one such area of advancement where potential benefits may include reduced operator radiation exposure, improved outcomes, and reduced rate of adverse events. Limited data e...

Robotic Resection of Retroperitoneal Perinephric Tumor. Application of Intraurethral Indocyanine Green Injection As an Adjunct to Avoid Ureteral Injury.

The American surgeon
The majority of retroperitoneal mass excision is performed via conventional "open" laparotomy due to concerns of technical difficulty and adequate oncological margins in cases of a malignant sarcoma. A very few cases of minimally invasive resection b...

The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

Journal of psychoactive drugs
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we performed a structured face-to-face interview with GPT-users about DSM-IV-dependence-criteria (sedatives), consume-motives and cessation-needs. Among...