UNITED STATES                                  
                       SECURITIES AND EXCHANGE COMMISSION                       
                             WASHINGTON, D.C. 20549                             
                                                                                
                                    FORM 6-K                                    
                                                                                
                        REPORT OF FOREIGN PRIVATE ISSUER                        
                       PURSUANT TO RULE 13a-16 OR 15d-16                        
                   UNDER THE SECURITIES EXCHANGE ACT OF 1934                    
                                                                                
                         For the month of February 2024                         
                                                                                
                       Commission File Number: 001-39461                        
                                                                                
                               NANO-X IMAGING LTD                               
                                                                                
                                 Ofer Tech Park                                 
                            94 Shlomo Shmeltzer Road                            
                                  Petach Tikva                                  
                                 Israel 4970602                                 
                    (Address of principal executive office)                     
                                                                                
Indicate by check mark whether the registrantfiles or will file annual reports 
under cover of Form 20-F or Form 40-F.

                                   Form 20-F                                    
                                                                                
                                   Form 40-F                                    
                                                                                
                                                                                
On February 13, 2024, NANO-X IMAGING LTD. (the"Company")
announced that
its deep-learning medical imaging analytics subsidiary,Nanox AI Ltd., received 
510(k) clearance by the U.S. Food and Drug Administration (FDA) for its 
artificial intelligence (AI) software,HealthFLD.

The contents of this Form 6-K, excludingExhibit 99.1 attached hereto, are 
incorporated by reference into the Registration Statement on
FormF-3
, File No. 333-271688, and
FormS-8
, File No. 333-248322.

                                                                                


                                                                                



                                                                                

                                 EXHIBIT INDEX                                  
                                                                                


Exhibit No.  Exhibit                               
99.1         Press release, dated February 13, 2024

                                                                                

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                                   SIGNATURES                                   
                                                                                
Pursuant to the requirementsof the Securities Exchange Act of 1934, the 
registrant has duly caused this report to be signed on its behalf by the 
undersigned, thereuntoduly authorized.



 NANO-X IMAGING LTD            
 .                             
                               
 By:    /s/ Ran Daniel         
 Name:  Ran Daniel             
 Title: Chief Financial Officer


Date: February 13, 2024


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                                                                    Exhibit 99.1

        Nanox Receives FDA Clearance for HealthFLD,an Advanced AI-Based         
          Software Empowering Clinicians in Assessment of Fatty Liver           
                                                                                
  Nanox's HealthFLD is pioneering the useof a fully automated AI software for   
                                     liver                                      
 attenuation analysis from CT scans that has received FDA 510(k) clearance for  
                            use in generalpopulation                            
                                                                                
 Expands Nanox's offering in AI solutions,marking third product in Nanox AI's   
                                    suite of                                    
          population health solutions to become commercially available          

PETACH TIKVA, Israel - (BUSINESS WIRE) - February 13, 2024 ("Nanox"or the 
"Company," Nasdaq: NNOX), an innovative medical imaging technology company, 
today announced that its deep-learning medicalimaging analytics subsidiary, 
Nanox AI Ltd., received 510(k) clearance by the U.S. Food and Drug 
Administration (FDA) for HealthFLD, anartificial intelligence (AI) software 
that provides automated qualitative and quantitative analysis of liver 
attenuation from routinecontrast and non-contrast chest and abdomen CT scans 
in patients between the ages of 18 to 75. HealthFLD is intended to support 
cliniciansin the detection of fatty liver, correlated with hepatic steatosis, 
an early sign of metabolic dysfunction-associated steatotic liverdisease 
(MASLD), formerly referred to as non-alcoholic fatty liver disease (NAFLD).


An estimated 24% of U.S. adults are living withMASLD or NAFLD
i
, a metabolic disease linked to obesity, cardiovascular disease and type 2 
diabetes, all of which pose significantpublic health concerns. Adults with 
MASLD are not only at risk of developing severe liver complications, such as 
cirrhosis and metabolicdysfunction-associated steatohepatitis (MASH), but are 
also at risk of cardiovascular disease, which is the leading cause of death 
inpeople living with MASLD
ii
. MASLD is commonly asymptomatic until it progresses to advanced liver 
fibrosis, and the currentgold standard for diagnosis is a liver biopsy, which 
is invasive and costly. As such, early diagnosis of MASLD could benefit 
patientsand the healthcare system.

While AI assessment of medical imaging offers areliable, non-invasive, 
large-scale approach to support clinicians in the assessment of hepatic 
steatosis (fatty liver), it has traditionallybeen difficult to assess liver 
attenuation on contrast-enhanced scans - which make up a large proportion of 
CT scans - limitingthe ability of clinicians to detect non-severe cases of 
MASLD
iii
. HealthFLD was designed to help clinicians in the assessmentand analysis of 
fatty liver in the general population from routine CT scans.

Amidst rising obesity rates, the prevalence ofliver-related disease is 
growing, and the need for an approved treatment for MASH has yet to be met. 
With several late-stage drug candidatesfor MASH in development and the 
availability of GLP-1 drugs for the management of type 2 diabetes and other 
metabolic diseases, identificationof liver steatosis is especially relevant.


"We are proud to offer HealthFLD as the thirdproduct of Nanox AI's suite of 
cutting-edge, AI-powered population health solutions designed to confront 
chronic diseases of greatpublic health concern head-on and potentially improve 
health outcomes," said Erez Meltzer, Chief Executive Officer of Nanox. 
"Furthermore,we believe that AI innovative solutions, and specifically 
HealthFLD, may deliver substantial advantages to the biopharmaceutical 
industryto streamline the identification of candidates for clinical trials of 
much-needed therapies for liver diseases including MASH. This regulatorydecision
 solidifies our leadership as a developer of
automatedAI software medical devices."





 i Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, WymerM. Global epidemiology of            
   nonalcoholic fatty liver disease-meta-analytic assessment of prevalence, incidence, and outcomes.
   Hepatology                                                                                       
   .2016;64(1):73-84. doi:10.1002/hep.28431                                                         


 ii Dulai PS, Singh S, Patel J, Soni M, Prokop LJ, Younossi Z, etal. Increased risk of mortality by fibrosis  
    stage in nonalcoholic fatty liver disease: systematic review and meta-analysis. Hepatology2017;65:1557-65.


 iii Pickhardt PJ, Blake GM, Kimmel Y, et al. Detection of ModerateHepatic Steatosis on Portal     
     Venous Phase Contrast-Enhanced CT: Evaluation Using an Automated Artificial Intelligence Tool.
     Amer JourRoentgen                                                                             
     2023;221(6): 748 - 758.                                                                       






In a retrospective 2023 study of 2,917 patients,published in the
American Journal of Roentgenology (AJR),
the HealthFLD AI software demonstrated high performance in the detectionof at 
least moderate hepatic steatosis in contrast-enhanced CT scans, with a 
sensitivity of 77.8% and specificity of 93.2% at less than80 HU. Medical 
imaging offers the only reliable noninvasive method for quantifying liver fat. 
Integrating HealthFLD with widely used standardCT scans offers clinicians the 
potential to opportunistically screen for liver steatosis and possible signs 
of MASLD on a population level."In recent years, automated, deep learning 
tools have offered an efficient, low-cost tool used to detect diseases in 
earlier stages,"said Perry J. Pickhardt, MD, of the University of Wisconsin 
School of Medicine & Public Health, and lead author of the AJR study
.
"We are now at a watershed moment when metabolic diseases are growing in 
prevalence and more effective treatment options arebecoming available. It's 
promising to have a liver solution available that may help evaluate early 
signs of illness from routineimaging."

The HealthFLD clearance is the third product acrossthe Nanox AI suite of 
population health solutions to receive FDA clearance. The FDA previously 
cleared HealthCCSng, a solution that detectscoronary artery calcium (CAC) that 
presents a risk for coronary artery disease, and HealthOST, a solution that 
assesses vertebral compressionfractures and bone mineral density to support 
clinicians in the evaluation and assessment of musculoskeletal disease of the 
spine (suchas osteoporosis).

About Metabolic Dysfunction-Associated SteatoticLiver Disease (MASLD)

Metabolic dysfunction-associated steatotic liverdisease (MASLD), formerly 
referred to as non-alcoholic fatty liver disease (NAFLD), refers to a group of 
metabolic conditions linkedto obesity, cardiovascular disease and type 2 
diabetes. An estimated 30% of the adult population globally has MASLD,
iv
a major risk factor for chronic liver disease and for cardiovascular disease, 
which is the leading cause of mortality inthis patient population.
v

About Nanox AI


Nanox AI is the deep-learning medical imaginganalytics subsidiary of Nanox. 
Nanox.AI solutions are developed to target highly prevalent chronic and acute 
diseases affecting largepopulations around the world. Leveraging AI 
technology, Nanox AI helps clinicians extract valuable and actionable clinical 
insights fromroutine medical imaging that otherwise may go unnoticed, 
potentially initiating further medical assessment to establish individual 
preventativecare pathways for patients. For more information, please visit 
https://www.nanox.vision/ai.

About Nanox

Nanox (NASDAQ: NNOX) is focused on applying itsproprietary medical imaging 
technology and solutions to make diagnostic medicine more accessible and 
affordable across the globe. Nanox'svision is to increase access, reduce costs 
and enhance the efficiency of routine medical imaging technology and 
processes, in order toimprove early detection and treatment, which Nanox 
believes is key to helping people achieve better health outcomes, and, 
ultimately,to save lives. The Nanox ecosystem includes Nanox.ARC- a 
multi-source Digital Tomosynthesis system that is cost-effective and 
user-friendly;an AI-based suite of algorithms that augment the readings of 
routine CT imaging to highlight early signs often related to chronic 
disease(Nanox.AI); a cloud-based infrastructure (Nanox.CLOUD); and a 
proprietary decentralized marketplace, through Nanox's subsidiary,USARAD 
Holdings Inc., that provides remote access to radiology and cardiology 
experts; and a comprehensive teleradiology services platform(Nanox.MARKETPLACE).
 Together, Nanox's products and services create a worldwide, innovative, and 
comprehensive solution that connectsmedical imaging solutions, from scan to 
diagnosis. For more information, please visit www.nanox.vision.





 iv LeMH, Yeo YH, Li X, Li J, Zou B, Wu Y, et al. 2019 Global NAFLD prevalence: a  
    systematic review and meta-analysis. Clin Gastroenterol Hepatol2022;20:2809-17.


 v Dulai PS, Singh S, Patel J, Soni M, Prokop LJ, Younossi Z, etal. Increased risk of mortality by fibrosis  
   stage in nonalcoholic fatty liver disease: systematic review and meta-analysis. Hepatology2017;65:1557-65.



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Forward-Looking Statements

This press release contains historical informationand forward-looking 
statements within the meaning of The Private Securities Litigation Reform Act 
of 1995 with respect to the business,financial condition and results of 
operations of Nanox. All statements that are not historical facts contained in 
this press release areforward-looking statements. Such statements include, but 
are not limited to, any statements relating to the initiation, timing, 
progressand results of the Company's research and development, manufacturing, 
and commercialization activities with respect to its X-raysource technology 
and the Nanox.ARC, the ability to realize the expected benefits of its recent 
acquisitions and the projected businessprospects of the Company and the 
acquired companies. In some cases, you can identify forward-looking statements 
by terminology such asthe words "will," "believe," "expect," "intend," "plan," 
"should,""estimate", "might", "may", "should", "anticipate", "expect","predict"'
 "potential" and similar expressions which are intended to identify 
forward-looking statements.Forward-looking statements are based on information 
the Company has when those statements are made or management's good faith 
beliefas of that time with respect to future events and are subject to risks 
and uncertainties that could cause actual performance or resultsto differ 
materially from those expressed in or suggested by the forward-looking 
statements. Factors that could cause actual results todiffer materially from 
those currently anticipated include: risks related to (i) Nanox's ability to 
complete development of theNanox System; (ii) Nanox's ability to successfully 
demonstrate the feasibility of its technology for commercial applications; 
(iii)Nanox's expectations regarding the necessity of, timing of filing for, 
and receipt and maintenance of, regulatory clearances orapprovals regarding 
its technology, the Nanox.ARC and Nanox.CLOUD from regulatory agencies 
worldwide and its ongoing compliance with applicablequality standards and 
regulatory requirements; (iv) Nanox's ability to realize the anticipated 
benefits of the acquisitions, whichmay be affected by, among other things, 
competition, brand recognition, the ability of the acquired companies to grow 
and manage growthprofitably and retain their key employees; (v) Nanox's 
ability to enter into and maintain commercially reasonable arrangements 
withthird-party manufacturers and suppliers to manufacture the Nanox.ARC; (vi) 
the market acceptance of the Nanox System and the proposedpay-per-scan 
business model; (vii) Nanox's expectations regarding collaborations with 
third-parties and their potential benefits;(viii) Nanox's ability to conduct 
business globally; (ix) changes in global, political, economic, business, 
competitive, marketand regulatory forces; (x) risks related to the current war 
between Israel and Hamas and any worsening of the situation in Israel; 
(xi)risks related to business interruptions resulting from the COVID-19 
pandemic or similar public health crises, among other things; and(xii) 
potential litigation associated with our transactions.

For a discussion of other risks and uncertainties,and other important factors, 
any of which could cause Nanox's actual results to differ from those contained 
in the Forward-LookingStatements, see the section titled "Risk Factors" in 
Nanox's Annual Report on Form 20-F for the year ended December31, 2022, and 
subsequent filings with the U.S. Securities and Exchange Commission. The 
reader should not place undue reliance on any forward-lookingstatements 
included in this press release.

Except as required by law, Nanox undertakes noobligation to update publicly 
any forward-looking statements after the date of this press release to conform 
these statements to actualresults or to changes in the Company's expectations.

CONTACTS:

Media Contact:
Ben Shannon
ICR Westwicke
NanoxPR@icrinc.com

Investor Contact:
Mike Cavanaugh
ICR Westwicke
mike.cavanaugh@westwicke.com


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