AIMC Topic: Humans

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Artificial intelligence for glaucoma: state of the art and future perspectives.

Current opinion in ophthalmology
PURPOSE OF REVIEW: To address the current role of artificial intelligence (AI) in the field of glaucoma.

Machine learning models for early prediction of mortality risk in patients with burns: A single center experience.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Mortality rate is considered as the most important outcome measure for assessing the severity of burn injury. A scale or model that accurately predicts burn mortality can be useful to determine the clinical course of burn injuries, discuss treatment ...

Comparison of the efficacy and safety of single-port versus multi-port robotic total mesorectal excision for rectal cancer: A propensity score-matched analysis.

Surgery
BACKGROUND: It is unknown whether the da Vinci single-port system performs similarly to the previous multi-port system during complicated procedures, such as rectal cancer surgery. Therefore, we compared the short-term clinical outcomes of single-por...

First experience with the Hugo™ robot-assisted surgery system for endometriosis: A descriptive study.

Acta obstetricia et gynecologica Scandinavica
INTRODUCTION: The Medtronic Hugo™ Robot-assisted Surgery (RAS) system was recently approved for clinical use. We explored the safety and feasibility of this system for endometriosis surgery. The primary outcome was safe case completion without major ...

Effect of da Vinci robot versus thoracoscopic surgery on lung function and oxidative stress levels in NSCLC patients: a propensity score-matched study.

Surgical endoscopy
BACKGROUND: To evaluate the short-term efficacy, lung function, and oxidative stress levels between the robotic-assisted thoracoscopic surgery (RATS) and video-assisted thoracoscopic surgery group (VATS) for non-small cell lung cancer (NSCLC).

The Unseen Hand: AI-Based Prescribing Decision Support Tools and the Evaluation of Drug Safety and Effectiveness.

Drug safety
The use of artificial intelligence (AI)-based tools to guide prescribing decisions is full of promise and may enhance patient outcomes. These tools can perform actions such as choosing the 'safest' medication, choosing between competing medications, ...

Predicting sequenced dental treatment plans from electronic dental records using deep learning.

Artificial intelligence in medicine
BACKGROUND: Designing appropriate clinical dental treatment plans is an urgent need because a growing number of dental patients are suffering from partial edentulism with the population getting older.

Artificial intelligence in cancer diagnosis: Opportunities and challenges.

Pathology, research and practice
Since cancer is one of the world's top causes of death, early diagnosis is critical to improving patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer diagnosis by using machine learning algorithms to examine large v...

ChatGPT as an aid for pathological diagnosis of cancer.

Pathology, research and practice
Diagnostic workup of cancer patients is highly reliant on the science of pathology using cytopathology, histopathology, and other ancillary techniques like immunohistochemistry and molecular cytogenetics. Data processing and learning by means of arti...

CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis.

Journal of magnetic resonance (San Diego, Calif. : 1997)
Magnetic resonance spectroscopy (MRS) is an important clinical imaging method for diagnosis of diseases. MRS spectrum is used to observe the signal intensity of metabolites or further infer their concentrations. Although the magnetic resonance vendor...