As patients with lung cancer live longer, the risk of long-term cardiac side effects of radiation therapy has been increasing, despite advances that reduce the radiation dose to the heart. New research uses machine learning ...
Jun 27, 2024
0
0
An article recently published in The Journal of Rheumatology by UK Health care's Jagannadha (Jay) Avasarala, M.D., Ph.D., professor of neurology, outlines the promise of point of care ultrasound (POCUS) in the diagnosis of ...
Jun 26, 2024
0
0
Soft tissue sarcomas (STSs) represent a diverse group of tumors that pose significant diagnostic and therapeutic challenges. In a recent review published in the journal Meta-Radiology, a team of researchers from The Second ...
Jun 20, 2024
0
0
In a new UCLA-led study, investigators shed light on the intricate processes underlying cancer evolution and define the optimal algorithms to analyze the genetic makeup of tumors.
Jun 11, 2024
0
7
A Johns Hopkins University-led research team has designed a method to generate enormous datasets of artificial, automatically annotated liver tumors on CT scans, enabling artificial intelligence models to be trained to accurately ...
May 31, 2024
0
9
In the realm of gastrointestinal (GI) endoscopy, artificial intelligence (AI) is becoming an essential tool, especially in the computer-aided detection of precancerous colon polyps during screening colonoscopy. This integration ...
May 23, 2024
0
0
The clumping of proteins is at the root of a wide range of neurodegenerative disorders that affect the brain, such as Alzheimer's and dementia. Researchers at the University of Copenhagen have developed a new tool that can ...
May 22, 2024
0
25
In a study of nearly 5,000 screening mammograms interpreted by an FDA-approved AI algorithm, patient characteristics such as race and age influenced false positive results. The study's results were published in Radiology.
May 21, 2024
0
0
Rapid and accurate intraoperative diagnosis is critical for tumor surgery and can provide precise guidance for surgical decisions. However, traditional intraoperative assessments based on H&E histology, such as frozen sections, ...
May 15, 2024
0
0
A magnetic resonance imaging device built with off-the-shelf parts and paired with AI matched the performance of high-end MRI machines, according to a study published Thursday that could pave the way for greater access to ...
May 9, 2024
0
48
In mathematics, computing, linguistics, and related subjects, an algorithm is a finite sequence of instructions, an explicit, step-by-step procedure for solving a problem, often used for calculation and data processing. It is formally a type of effective method in which a list of well-defined instructions for completing a task, will when given an initial state, proceed through a well-defined series of successive states, eventually terminating in an end-state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as probabilistic algorithms, incorporate randomness.
A partial formalization of the concept began with attempts to solve the Entscheidungsproblem (the "decision problem") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define "effective calculability" (Kleene 1943:274) or "effective method" (Rosser 1939:225); those formalizations included the Gödel-Herbrand-Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's "Formulation 1" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939.
This text uses material from Wikipedia, licensed under CC BY-SA
