Results 71 to 80 of about 64,949,069 (120)

Artificial Intelligence-Derived ECG-Age as a Predictor of Mortality and Cardiovascular Events: A Systematic Review and Meta-Analysis. [PDF]

Arq Bras Cardiol
Bozzi ICRS, Lima MCAG, Ribeiro ALP, Paixão GMM.   +3 more
europepmc   +1 more source

Adherence and Performance in Cardiac Rehabilitation: The Role of Technological Innovation. [PDF]

Arq Bras Cardiol
Kizilkilic SE, Milani JGPO, Cipriano G, Dendale P, Milani M.   +4 more
europepmc   +1 more source

Benchmarking large language models for clinical data extraction from Portuguese medical notes in a university hospital. [PDF]

Cad Saude Publica
Jesus BGAS, Figueiredo TC, Pereira CA, Anjos BHL, Boa-Sorte NCA, Durães AR, Brites C, Martins Netto E, Almeida LM, Zanchettin C, Menezes VO, Machado MAD.   +11 more
europepmc   +1 more source

Artificial Intelligence in Cardiology: Concepts, Tools and Challenges - "The Horse is the One Who Runs, You Must Be the Jockey". [PDF]

Arq Bras Cardiol, 2020
Souza Filho EM, Fernandes FA, Soares CLA, Seixas FL, Santos AASMDD, Gismondi RA, Mesquita ET, Mesquita CT.   +7 more
europepmc   +1 more source

Speech perception in the Specific Learning Disorder with and without Persistent Speech Sound Disorder. [PDF]

Codas
Appezzato MM, Avila CRB, Avila CRB.
europepmc   +1 more source

[Technological healthcare management arrangements: challenges for contemporary hospitals]. [PDF]

Cad Saude Publica
Chioro A, Correia T.
europepmc   +1 more source

A general framework of digitization risks in international business. [PDF]

J Int Bus Stud, 2022
Luo Y.
europepmc   +1 more source

How can near infrared spectroscopy be informative about the brain activation of children using a hearing implant? Preliminary case-control findings. [PDF]

Codas
Diniz DA, Miranda DM, Bertachini ALL, Januário GC, Dias LG, Resende LM.   +5 more
europepmc   +1 more source

Musical auditory training and cognitive auditory training: effects on the perception of tinnitus disorder. [PDF]

Codas
Schumacher CG, Silva BLSD, Liberalesso R, Freire KGM, Garcia MV, Didoné DD.   +5 more
europepmc   +1 more source

Prediction of metabolic syndrome and its associated risk factors in patients with chronic kidney disease using machine learning techniques. [PDF]

J Bras Nefrol
Bittencourt JAS, Sousa Junior CM, Santana EEC, Moraes YAC, Carneiro ECRL, Fontes AJC, Chagas LAD, Melo NAC, Pereira CL, Penha MC, Pires N, Araujo Júnior E, Barros Filho AKD, Nascimento MDDSB.   +13 more
europepmc   +1 more source