Algorithm achieves 98% accuracy in disease prediction via tongue color
A computer algorithm has achieved 98% accuracy in predicting different diseases by analyzing the color of the human tongue.
Aug 13, 2024
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A computer algorithm has achieved 98% accuracy in predicting different diseases by analyzing the color of the human tongue.
Aug 13, 2024
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98
To diagnose heart conditions including heart attacks and heart rhythm disturbances, clinicians typically rely on 12-lead electrocardiograms (ECGs)—complex arrangements of electrodes and wires placed around the chest and ...
Aug 1, 2024
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Artificial intelligence is being used in a wide variety of applications in medicine, and now scientists have developed an AI system that can boost detection rates for cancerous and precancerous lesions of the esophagus, which ...
AI can help reduce underdiagnosis of Black patients with a common type of heart failure, compared to in routine practice, new research finds.
Aug 1, 2024
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In a recent study, investigators at Beth Israel Deaconess Medical Center (BIDMC) led by Jan Heng, Ph.D., examined the effects of testosterone therapy in the breast tissue of 425 trans masculine individuals.
Jul 17, 2024
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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.
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